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Anthropic says Claude has mathematically proven that fuzz-tested code in 123 open-source libraries can’t crash on any input under 64MB, and it found bugs along the way that years of testing had missed.

The work, published by Anthropic on October 22 with formal verification startup Theorem, covers 239 entry points from Google’s OSS-Fuzz project. Anthropic calls it the first large-scale effort to use AI to formally verify production software at the assembly code level.

From tests to proofs

Fuzzing throws huge numbers of random inputs at a program to see what breaks, but it can never try every input. Anthropic turned each existing fuzz test into a formal rule, “this test never crashes,” and had Claude prove it holds for every input under 64MB.

The proofs work on compiled RISC-V machine code rather than source code. Over a few weeks, Claude wrote about 180 million lines of proofs in the Rocq proof assistant, around 600,000 lines for a typical program. No human has to read them; the Rocq checker confirms each one mechanically.

Bugs testing missed

Whenever a proof failed, Claude had found a bug, patched it and tried again. Anthropic says the effort turned up hundreds of bugs, including an out-of-bounds write in a decompressor that only appeared on inputs of about 20MB with one rare layout, and a rediscovery of a known flaw in the libexpat XML parser.

In separate tests, Claude proved the Linux kernel’s zlib code matches the format’s specification, and while trying to verify a widely used PDF reader, it found as many security bugs in one week as are typically reported in a year. Details are in the technical appendix.

What it doesn’t prove

Anthropic is explicit that “formally verified” doesn’t mean bug-free. The proofs assume single-threaded, statically linked RISC-V binaries on Linux, while most real deployments run on x86 or ARM. The memory checks used don’t catch every memory-safety bug, and not every entry point in each library was covered.

Cost is the other catch: proofs can take hundreds of millions of tokens. Anthropic says Claude Opus 5.5 solved half of a 36-task benchmark with about 40% fewer tokens than Opus 5, and agents that shared proofs used 17% fewer tokens.

Why it matters

AI is getting very good at finding bugs, as the PHP2Shell flaws showed this week. Proofs are a way to show that whole classes of bugs simply aren’t there. Theorem has released a Claude skill for open-source maintainers who want to enrol their projects, and it estimates that 95% of the machine code in the Nix software ecosystem could be verified by the end of 2027 for about $134 million.

The post Anthropic Says Claude Proved 123 Open-Source Libraries Can’t Crash appeared first on DailyAI.

Hugging Face has released Carbon-X, an open 14.8-billion-parameter model that lets researchers paste raw DNA into a chat and ask questions about it in plain English, such as whether a mutation is likely to cause disease.

The model, published on Hugging Face under an Apache 2.0 licence, was built with Zhongguancun Academy and the Telethon Institute of Genetics and Medicine at the University of Naples Federico II. Wired reports it was released on Thursday, October 22.

How it works

Carbon-X starts from Alibaba’s Qwen3-14B. The team added DNA tokens that read sequences six bases at a time, then trained the model on 302 billion tokens of DNA, biology text, English text and instruction data, so DNA and language share one token stream.

You give it a reference and a mutated sequence, and it says whether the variant looks benign or pathogenic and explains why. It can also spot regions that control gene activity, classify which kind of organism a sequence comes from, and predict the next bases.

The numbers

According to the model card, Carbon-X averages 66.7% across five DNA benchmarks. That’s 27 points above the Qwen3-14B model it started from, ahead of every other open model Hugging Face tested, and close to GPT-6.1 Sol’s 67.5% at about 1/1,800 of the inference cost per problem.

Hugging Face estimates that checking the 2.4 million “variants of uncertain significance” in the ClinVar database would cost about $300 with Carbon-X, against $32,000 to $4 million with the frontier models it evaluated. The weights fit on a single 80GB GPU, so labs can keep sensitive sequences on their own hardware.

The limits

Hugging Face is clear that Carbon-X “has not been clinically validated, and it should not be used to make medical decisions.” It’s still weak on splice sites (29.8%) and histone marks (34.6%), can miscount bases, and may invent a sequence’s function when it lacks context. It wasn’t trained to design new DNA.

Lewis Tunstall, a senior research scientist at Hugging Face, told Wired the team left viruses out of the training data to avoid potentially dangerous uses. The developers also haven’t yet validated its predictions in wet-lab experiments.

Why it matters

Specialist tools like AlphaFold 3 have changed parts of biology, but they aren’t built for conversation. Carbon-X puts DNA analysis behind a chat window, and it’s small enough for a lab to run itself. Like Microsoft’s MAI-DxO this week, though, it’s a benchmark result until it’s proven against real biology.

The post Hugging Face’s Carbon-X Lets Researchers Chat With DNA appeared first on DailyAI.

Microsoft’s AI diagnostic system, MAI-DxO, correctly diagnosed 83% of complex New England Journal of Medicine cases in a peer-reviewed study in Science, against 36% for generalist physicians who could use reference tools.

The paper, “Sequential diagnosis with language models”, was published on October 22. Instead of handing an AI a complete case write-up, it makes the system start from a short presentation and decide what to ask and which tests to order, as a doctor would.

How it works

The team built a benchmark called SDBench from 304 NEJM clinicopathological cases and 325 emergency department admissions from the MIMIC-IV-ED dataset. A “Gatekeeper” agent releases only what a question or test would realistically reveal, and a “Judge” agent scores the final diagnosis.

MAI-DxO, the Microsoft AI Diagnostic Orchestrator, works like a panel of virtual physicians: each proposes diagnoses, picks questions or tests and challenges the emerging view, while the system weighs each test’s cost.

The numbers

On the NEJM cases, the system running on GPT-5 scored 83.2% at an average estimated test cost of $5,431. Physicians averaged 36.1% with search and reference tools and 22.3% without. Even the best individual physician, at 51.8%, was beaten on both accuracy and cost.

On more routine emergency cases, MAI-DxO reached 80.3% versus 46.8% for physicians. Microsoft says the gains held, and grew, when it re-ran the evaluation on GPT-5.5 without changing the orchestration.

The caveats

The authors are upfront about the limits. The tests were text-only, compared the AI with individual generalists rather than specialists or teams, and measured “diagnostic reasoning under idealized information conditions rather than bedside performance or patient outcomes.” All of the authors are Microsoft employees.

That’s why the next step matters. Microsoft says it will run a prospective study with Beth Israel Deaconess Medical Center in Boston, where patients interact with the system directly. It’s also open-sourcing SDBench code so others can test other models and challenge the findings.

Why it matters

GPs are already turning to ChatGPT and other tools for diagnoses, and tools like the NHS’s Mia cancer tool have shown AI can catch what doctors miss. A structured, cost-aware panel like MAI-DxO points to a more rigorous version of that, but until it’s proven with real patients, it’s a benchmark result, not a clinical one.

The post Microsoft’s AI Diagnosis Panel Beats Doctors 83% to 36% in Science Study appeared first on DailyAI.

Frontier AI models helped uncover PHP2Shell, two critical flaws in the PHP engine behind roughly 70% of websites, and the scramble to patch them shows how fast AI is shrinking the time defenders get to react.

PHP shipped fixes on October 21 in versions 8.5.12, 8.4.27, 8.3.36 and 8.2.35, and urged all users to update immediately. The two bugs, CVE-2026-109618 and CVE-2026-109619, are both rated 9.2 under CVSS v4.0 and can allow unauthenticated remote code execution.

How AI found it

According to OpenAI, security firm Calif identified one of the flaws using GPT-5.6 Sol through OpenAI’s Patch the Planet programme, while Wiz independently found and reported both. Wiz says it used its own tooling alongside Gemini 4 Argon and GPT-5.6 Sol, and demonstrated unauthenticated code execution on WordPress, Drupal and Joomla.

Wiz says every PHP version released in the last decade, back to 5.4, is affected by at least one of the bugs. Exploiting them required a chain of steps “at the edge of what human researchers could practically achieve,” and frontier models “substantially reduced that barrier.”

The embargo didn’t hold

The coordinated release was planned for October 22. As TechTarget reports, CVE IDs started circulating on forums on October 20, so PHP brought the release forward a day. Distributor Chainguard then published patched images hours early, a move the PHP Foundation criticised and Chainguard’s CEO defended, citing reports of active exploitation.

Amazon says its honeypots picked up exploitation attempts as early as October 17. Cloudflare CEO Matthew Prince said attempts across its network reached “millions” after the announcement.

OpenAI’s proposed playbook

OpenAI used the episode to propose a five-stage response for AI-found bugs that hit many products at once: validate and fix the flaw (including testing the patch against frontier models), give affected organisations time to act, coordinate with government partners, prepare updates across products, then publish guidance.

It says these bugs are among several significant vulnerabilities it has already found, and it expects similar findings “to increase sharply in the coming months.”

Why it matters

Researchers have shown LLM agents can exploit known vulnerabilities for a while. PHP2Shell is that capability at internet scale, and it lands the same week OpenAI disclosed that its own coding agents weakened safety monitoring.

If models can find and weaponise bugs this quickly, long embargoes look fragile. For anyone running PHP, including WordPress sites, the advice is simple: update the PHP runtime and restart every worker. Updating your app alone doesn’t patch the PHP underneath it.

The post AI Helped Find PHP2Shell, and the Disclosure Plan Still Broke Down appeared first on DailyAI.

Artificial intelligence has made enormous strides in the past few years – with the introduction of a wide range of AI tools changing the landscape of how we assess data and operate within online spaces forever. 

This page ranks the 50 best universities to study AI around the world, based on scope, prestige, and the level of AI-related research each institution has released.

Career prospects in AI

There is a huge demand for individuals with a high degree of skills in artificial intelligence and machine learning, making AI a potential lucrative career prospect with countless opportunities as AI continues to develop and make inlays into how businesses operate.

Amidst the many opportunities are roles such as artificial intelligence engineering, data scientists, cyber security analysts, and more.

How we determined our ranking

We compiled the top 50 best universities for AI based on their ranking for AI research attributions. We then took those universities and added in their overall international university ranking plus the number of AI-related courses available, to give us an overview of the scope to excel in artificial intelligence at each institution.

• School prestige: The universities were ranked on a scale of 1 – 50 (with more points indicating a higher score) for their overall university ranking.
• AI research: We also scored the universities on a scale of 1 – 50 (with more points indicating a higher score) based on their official ranking for artificial intelligence-related research contributions.
• Number of courses: Finally, universities were ranked on the number of AI-related programs they had available. More courses, more points.

The best universities to study AI around the world

1. Stanford University

Score in our point system: 100  

Duration of Course: 1 – 2 years

Qualification: Master in Computer Science – Artificial Intelligence  

Language: English  

Location: California, USA or Online

Description of course: The Stanford Computer Science Master’s degree program offers a comprehensive curriculum that covers fundamental and specialized aspects of computer science. Students can pursue the degree part-time or full-time, with options for online or in-person classes. Specializations like Artificial Intelligence, Information Management and Analytics, and Systems, can be completed entirely online. The program also allows for individual course enrollment or graduate certificate pursuit without formal admission.

Read more about the course here.

 

2. Massachusetts Institute of Technology

Score in our point system: 97  

Duration of Course: 2 – 5 days

Qualification: Professional Certificate Program in Machine Learning & Artificial Intelligence  

Language: English  

Location: Massachusetts, USA  

Description of course: MIT provides a Professional Certificate Program in Machine Learning and Artificial Intelligence, focusing on the latest techniques and advancements in the field, preparing students for cutting-edge AI research and applications. A minimum of a bachelor’s degree in a technical area such as computer science, statistics, physics or electrical engineering, plus three years of professional experience is required. Although the university scores extremely highly for prestige and AI research, it should be noted that a specific masters in AI is not offered at MIT currently.

Read more about the course here.

3. University of California – Berkeley

Score in our point system: 93  

Duration of Course: 6 months, 15 – 20 hours per week

Qualification: Online Certificate of Completion in Artificial Intelligence: Business Strategies and Applications  

Language: English  

Location: Online

Description of course: The Berkeley Professional Certificate in Machine Learning and Artificial Intelligence is an online program accessible through a custom learning portal. It includes recorded coding demos, video lectures, class discussions, assignments, projects, and knowledge checks. Participants gain foundational as well as advanced knowledge of ML/AI, hands-on experience using innovative AI tools, and key insights into the business applications of these technologies from UC Berkeley’s world-class faculty. A school renowned for its prestige and AI research attributes, this is an excellent institution to excel in this area.

Read more about the course here.

 

4. University of Oxford

Score in our point system: 92  

Duration of Course: 12 months

Qualification: MSc in Advanced Computer Science & Artificial Intelligence for Business  

Language: English  

Location: Oxfordshire, UK  

Description of course: The University of Oxford’s MSc in Advanced Computer Science is a full-time, twelve-month program designed to deepen understanding in computing through a blend of theory and practice. It covers mathematical principles essential for the specification, design, and implementation of computing technologies. The program includes modules on various computer science aspects, practical sessions, and a dissertation.

Read more about the course here.

 

5. Harvard University

Score in our point system: 91  

Duration of Course: 3 years

Qualification: Ph.D. in Applied Mathematics  

Language: English  

Location: Massachusetts, USA  

Description of course: Harvard’s Applied Mathematics program at the John A. Paulson School of Engineering and Applied Sciences offers an interdisciplinary approach, applying mathematical methods to address challenges in sciences, engineering, and increasingly in social sciences and humanities. Emphasizing collaboration, students engage in projects that include AI applications, contributing to advancements in fields like soft robotics and industrial processes. 

Read more about the course here.

 

6. Tsinghua University

Score in our point system: 84  

Duration of Course: 1 – 3 years

Qualification: PhD & Master in Advanced Computing & ME in Artificial Intelligence  

Language: Chinese 

Location: Beijing, China  

Description of course: Tsinghua University offers two distinguished programs in the fields of computer science and artificial intelligence. The Master of Engineering in Artificial Intelligence program at SIGS integrates faculty and research platforms across disciplines like Automation, Computer Science, and Electronic Communication, focusing on industry collaboration and student achievements in AI research and applications. Meanwhile, the PhD and Master in Advanced Computing program provides a comprehensive education and research experience in computer science and AI, with students engaging in significant research and industry collaborations, preparing them for advanced careers in academia or industry.

Read more about the courses here: AI Chip Center and International Master of Data Science and Analytics from Tsinghua University.

 

7. University of Cambridge

Score in our point system: 83  

Duration of Course: 9 – 22 months

Qualification: MPhil in Machine Learning and Machine Intelligence & MPhil in Ethics of AI, Data and Algorithms & MSt in AI Ethics and Society  

Language: English  

Location: Cambridgeshire, UK  

Description of course: The University of Cambridge provides multiple postgraduate programs focusing on machine learning, AI ethics, and the societal impacts of AI. The MPhil in Ethics of AI, Data, and Algorithms aims to provide a deep understanding of AI’s ethical and societal challenges, equipping students with interdisciplinary research skills. The MPhil in Machine Learning and Machine Intelligence, offered by the Engineering Department, focuses on developing intelligent systems through machine learning, preparing students for industry leadership or doctoral study. Lastly, the MSt in AI Ethics and Society, offered by the Institute of Continuing Education, combines residential and online learning to explore AI’s ethical and societal impacts, culminating in a dissertation that applies students’ accumulated knowledge.

Read more about the courses here: Postgraduate Diploma in Entrepreneurship in AI and Data, Machine Learning and Machine Intelligence courses, and MSt in AI Ethics and Society.

 

8. University of Michigan – Ann Arbor

Score in our point system: 79  

Duration of Course: 1 -2 years

Qualification: Master of Engineering (MEng) in Data Science and Machine Learning & Master of Engineering in Automotive Engineering & Master’s in Robotics  

Language: English  

Location: Michigan, USA  

Description of course: The University of Michigan offers three advanced programs in the field of engineering and data science. The Master’s in Data Science, a collaborative program with four departments, equips students with balanced training in statistical and computational skills, preparing them to handle large heterogeneous datasets. The Robotics MS program trains graduates in core concepts of sensing, acting, and reasoning, enabling them to create smart machines that can significantly impact various sectors by improving safety and quality of life, and inspiring innovation.

Read more about the courses here: Masters in Data Science, Automotive Engineering Program, and MS in Robotics.

 

9. Carnegie Mellon University

Score in our point system: 79  

Duration of Course: 16 – 21 months

Qualification: Master of Science in Artificial Intelligence & Master of Science in Intelligent Information Systems  

Language: English  

Location: Pennsylvania, USA  

Description of course: Carnegie Mellon University offers two advanced master’s programs in artificial intelligence and information systems. The Master of Science in Artificial Intelligence and Innovation (MSAII) program focuses on developing AI solutions and innovations, preparing students to tackle complex challenges in the field. Meanwhile, the Master of Science in Intelligent Information Systems (MIIS) program emphasizes the development of systems that can effectively process and analyze large amounts of information, particularly in the biomedical domain.

Read more about the courses here: MS in Artificial Intelligence and Innovation and MS in Intelligent Information Systems.

 

10. University of Toronto

Score in our point system: 78  

Duration of Course: 16 months

Qualification: Master of Science in Applied Computing  

Language: English  

Location: Toronto, Canada  

Description of course: The University of Toronto’s Master of Science in Applied Computing program offers concentrations in AI, computer science, and more. The course has a focus on knowledge representation, probabilistic and statistical theory, machine learning (deep learning), computational linguistics and natural language processing.

Read more about the course here.

 

11. University of California – Los Angeles (UCLA)

Score in our point system: 76  

Duration of Course: 1 year

Qualification: Master of Engineering – Artificial Intelligence & Master of Engineering – Autonomous Systems  

Language: English  

Location: California, USA  

Description of course: UCLA’s Master of Engineering program offers two cutting-edge concentrations: Artificial Intelligence and Autonomous Systems. The AI concentration, housed within the Samueli School of Engineering, emphasizes developing algorithms for intelligent behavior, problem-solving, and human-like task performance. The Autonomous Systems concentration integrates knowledge from Mechanical and Aerospace Engineering, Electrical and Computer Engineering, and Computer Science, focusing on dynamic systems, machine learning, and technologies like robotics and smart grids.

Read more about the courses here: Artificial Intelligence and Autonomous Systems from the UCLA Master of Engineering program.

 

12. University College London (UCL)

Score in our point system: 74  

Duration of Course: 1 year

Qualification: Artificial Intelligence and Data Engineering MSc & Artificial Intelligence for Sustainable Development MSc & Robotics and Artificial Intelligence MSc  

Language: English  

Location: London, UK  

Description of course: UCL offers three distinct MSc programs in the field of artificial intelligence and robotics. The Artificial Intelligence and Data Engineering MSc focuses on the intersection of AI and data engineering, preparing students for careers in this dynamic field. The Artificial Intelligence for Sustainable Development MSc program aims to leverage AI to address sustainable development challenges, combining technical knowledge with sustainability principles. Lastly, the Robotics and Artificial Intelligence MSc program provides an in-depth understanding of both robotics and AI, equipping students with the skills needed to innovate in these rapidly evolving areas.

Read more about the courses here: MSc Artificial Intelligence and Data Engineering, MSc Artificial Intelligence for Sustainable Development, and MSc Robotics and Artificial Intelligence from UCL.

 

13. Princeton University

Score in our point system: 72  

Duration of Course: 1 – 3 years

Qualification: Certificate in Robotics and Intelligent Systems & Graduate Certificate Program in Statistics and Machine Learning  

Language: English  

Location: New Jersey, USA  

Description of course: Princeton University offers two programs in robotics, intelligent systems, and machine learning. The undergraduate certificate in Robotics and Intelligent Systems focuses on creating intelligent automation systems, requiring six courses and a senior project or thesis. The graduate certificate in Statistics and Machine Learning is for Ph.D. and master’s students, encompassing three courses, a research component, and a seminar or presentation

Read more about the courses here: Certificate in Robotics and Intelligent Systems and Certificate in Computer Science – Machine Learning from Princeton University.

 

14. University of Washington

Score in our point system: 72  

Duration of Course: 1 – 2 years

Qualification: M.S. in Controls, Mechatronics + Robotics & Master of Science in Computational Linguistics  

Language: English  

Location: Washington, USA or online

Description of course: The University of Washington offers a Master of Science in Computational Linguistics, a field that combines linguistics and natural language processing, preparing students for careers in emerging technologies like AI and machine learning. The program offers a unique blend of theoretical knowledge and practical experience, with opportunities for internships at leading companies. 

Read more about the courses here: Controls curriculum from the University of Washington Department of Mechanical Engineering, and the Computational Linguistics program at UW.

 

15. Cornell University

Score in our point system: 71  

Duration of Course:

Qualification: M.Eng. In Computer Science – Artificial Intelligence  

Language: English  

Location: New York, USA  

Description of course: The Master of Engineering in Computer Science at Cornell Tech is designed with industry input to provide a flexible and rigorous technical education in both fundamental and advanced computing areas. The program prepares students for innovation in tech companies or entrepreneurship in startups, with a curriculum that includes creating a startup and developing solutions for real corporations in cross-disciplinary teams.

Read more about the course here.

 

16. Imperial College London

Score in our point system: 67  

Duration of Course: 1 year

Qualification: MSc in Artificial Intelligence & Computing (Artificial Intelligence and Machine Learning) MSc  

Language: English  

Location: London, UK  

Description of course: The MSc in Computing (Artificial Intelligence and Machine Learning) at Imperial College London is designed for students with a strong academic background, not necessarily exclusive in computing but with substantial computing knowledge. It’s aimed at those looking to specialize in AI and ML, offering a mix of compulsory and elective modules to provide both breadth and depth in the field. Applicants are expected to have the equivalent of two years of undergraduate computer science education.

Read more about the course here.

 

17. University of Pennsylvania

Score in our point system: 67  

Duration of Course: 1 year

Qualification: Master of Science in Design – Robotics and Autonomous Systems & MSE in Robotics – Artificial Intelligence and Machine Learning Specialization  

Language: English  

Location: Pennsylvania, USA  

Description of course: The University of Pennsylvania offers two prominent programs in robotics. The Masters of Science in Design: Robotics and Autonomous Systems (MSD-RAS) program, led by Assistant Professor Robert Stuart-Smith, focuses on the intersection of algorithmic design, robotic fabrication, and collective robotic construction, aiming to integrate design, manufacturing, and robot behavior. The Master of Science in Engineering in Robotics (ROBO) program, housed in the renowned GRASP Lab, provides a comprehensive education in robotics, vision, perception, control, automation, and machine learning, preparing students for careers in various industries or further graduate studies.

Read more about the courses here: Robotics and Automation Society and MSE in Robotics from the University of Pennsylvania.

 

18. University of Illinois at Urbana-Champaign

Score in our point system: 66  

Duration of Course: 1 year

Qualification: Master of Engineering in Autonomy & Robotics  

Language: English  

Location: Illinois, USA  

Description of course: The University of Illinois at Urbana-Champaign offers a Master of Engineering focusing on autonomy and robotics, integrating AI technologies to develop innovative solutions in various sectors.

Read more about the course here.

 

19. Johns Hopkins University

Score in our point system: 65  

Duration of Course: 5 months – 1 year

Qualification: Master of Science in Artificial Intelligence & Master’s in Human Language Technology & Master’s in Mechanical Engineering – Robotics, Systems Modeling, Dynamics, And Control  

Language: English  

Location: Maryland, USA or Online

Description of course: Johns Hopkins University offers a Master’s in Artificial Intelligence program, designed with insights from the Applied Physics Lab, focusing on areas like robotics, natural language processing, and image processing. The program, delivered online, balances theoretical knowledge with practical applications.

Read more about the courses here: Artificial Intelligence Programs and Master of Science in Artificial Intelligence from Johns Hopkins University.

 

20. National University of Singapore

Score in our point system: 64  

Duration of Course: 1.5 – 3 years

Qualification: Master of Computing – Artificial Intelligence Specialisation  

Language: English  

Location: Singapore  

Description of course: The National University of Singapore offers a Master of Computing with a specialization in Artificial Intelligence, focusing on the core and advanced aspects of AI, preparing students for global challenges in technology and innovation. The course can be taken full-time or part-time, providing an advanced and in-depth knowledge of IT and AI applications.

Read more about the course here.

 

21. Georgia Institute of Technology

Score in our point system: 59  

Duration of Course: 1 – 2 years

Qualification: M.S. in Computer Science – Interactive Intelligence & Machine Learning & M.S. in Robotics  

Language: English  

Location: Georgia, USA  

Description of course: The Master of Science in Computer Science program is designed for students with a strong background in computer science, offering three options: coursework, project, or thesis, with a focus on 11 areas of specialization. The professional Master of Science in Robotics is a cohort-based program preparing graduates for careers in robotics and automation.

Read more about the courses here: Master of Science in Computer Science and MS in Robotics from Georgia Tech.

 

22. Columbia University

Score in our point system: 59  

Duration of Course: 1 year

Qualification: Master of Science in Computer Science – Machine Learning & Natural Language Processing  

Language: English  

Location: Online 

Description of course: Columbia University’s Master of Science programs in Computer Science focus on machine learning and natural language processing, equipping students with specialized skills for AI development and research. The Machine Learning Track is intended for students who wish to develop their knowledge of machine learning techniques and applications.

Read more about the course here.

 

23. University of California – San Diego

Score in our point system: 56  

Duration of Course: 1 – 5 years

Qualification: Ph.D. in Intelligent Systems, Robotics and Control & Online Specialized Certificate in Machine Learning Methods & Online Master of Science in Applied Artificial Intelligence  

Language: English  

Location: California, USA  

Description of course: UC San Diego offers a Ph.D. program and online certificates in intelligent systems, robotics, machine learning, and applied AI, catering to a range of students from academic researchers to professionals seeking advanced knowledge.

Read more about the course here.

 

24. Swiss Federal Institute of Technology Zurich (ETH Zurich)

Score in our point system: 56  

Duration of Course: 1 – 2 years

Qualification: Master in Computer Science

Location: Zurich, Switzerland 

Description of course: ETH Zurich provides a Master’s program in Machine Learning, offering in-depth training in the theoretical foundations and practical applications of machine learning, a core area of AI, as well as data management systems, machine intelligence, and theoretical computer science. The study program is closely connected to the department’s world-class research groups, led by an internationally diverse faculty of over 45 professors.

Read more about the course here.

 

25. Nanyang Technological University

Score in our point system: 56  

Duration of Course: 1 – 2 years

Qualification: Master of Science in Artificial Intelligence (MSAI)  

Language: English  

Location: Singapore  

Description of course: Nanyang Technological University’s MSAI program offers comprehensive training in AI, and is created for students who wish to develop, design and implement AI systems and at the same time cultivate a deep understanding of AI for project management and policy-making. The course can be taken full or part-time. 

Read more about the course here.

 

26. Yale University

Score in our point system: 53  

Duration of Course: 1 – 2 years

Qualification: MS in Science – Artificial Intelligence and Machine Learning  

Language: English  

Location: Connecticut, USA  

Description of course: Yale University’s research in Artificial Intelligence and Machine Learning encompasses various domains, including Robotics, Natural Language Processing, Machine Learning, Computer Vision, and AI Ethics and Society. Yale University offers a Master of Science (MS) program in Computer Science designed for students aiming for a professional career or considering a PhD. The program offers one-year and two-year MS options, focusing on expanding knowledge beyond the undergraduate level. The one-year MS requires eight courses, while the two-year MS includes six courses, a teaching fellowship, and a research thesis.

Read more about the course here.

 

27. University of Texas at Austin

Score in our point system: 47  

Duration of Course: 30 hours

Qualification: MA in Computational Linguistics & Master of Computer Science – Artificial Intelligence & Online Master of Science in Artificial Intelligence (2026)  

Language: English  

Location: Online

Description of course: The University of Texas offers two advanced programs in AI and computer science. The Master’s in Artificial Intelligence focuses on ethical AI design, exploring historical, societal, and technical aspects of AI ethics. The Online Master’s in Computer Science provides a flexible, affordable education in cutting-edge computer science fields, preparing students for leadership roles in various industries. Both programs emphasize practical knowledge and ethical considerations in technology development.

Read more about the courses here: Master of Science in Artificial Intelligence and Master of Science in Computer Science Online Option from The University of Texas at Austin.

 

28. University of Southern California

Score in our point system: 47  

Duration of Course: 1 – 2 years

Qualification: Master of Science in Computer Science – Intelligent Robotics & MS in Computer Science – Artificial Intelligence & MS in Electrical and Computer Engineering – Machine Learning and Data Science Track  

Language: English  

Location: California, USA  

Description of course: The MS in Computer Science (Artificial Intelligence) at USC Viterbi is a pioneering program in the U.S., offering rigorous training in AI, including deep learning, machine learning, computer vision, and natural language processing. The program is designed for students with a strong background in computer science, focusing on practical applications and professional development, without a thesis requirement.

Read more about the courses here: MS in Computer Science – Artificial Intelligence and MS in Intelligent Robotics from the University of Southern California.

 

29. New York University

Score in our point system: 45  

Duration of Course: 1 – 2 years

Qualification: M.S. in Mechatronics and Robotics  

Language: English  

Location: New York, USA  

Description of course: NYU’s Master of Science in Mechatronics and Robotics integrates AI, mechanical engineering, and electronics, preparing students for advanced roles in designing and developing intelligent machines and systems.

Read more about the course here.

 

30. University of Wisconsin

Score in our point system: 45  

Duration of Course: 12 – 16 months

Qualification: Master of Science in Electrical Engineering – Machine Learning and Signal Processing  

Language: English  

Location: Wisconsin, USA  

Description of course: The Machine Learning & Signal Processing (MLSP) program at the University of Wisconsin-Madison is a fast-track, course-only curriculum designed for completion within 12–16 months. It focuses on quantitative thinking, problem-solving, and coding, preparing students for the data science workforce. The program emphasizes practical application through a professional development project and requires 30 credit hours, including foundational and advanced methods in MLSP, taught by pioneering faculty.

Read more about the course here.

 

31. University of Maryland – College Park

Score in our point system: 44  

Duration of Course: Under 2 years

Qualification: Master of Professional Studies in Machine Learning  

Language: English  

Location: Maryland, USA  

Description of course: The University of Maryland – College Park offers a Master of Professional Studies in Machine Learning, focusing on the practical applications of machine learning techniques and their impact on various industries.

Read more about the course here.

 

32. University of Tokyo

Score in our point system: 43  

Duration of Course: 1 year

Qualification: Graduate Major in Artificial Intelligence  

Language: Japanese 

Location: Tokyo, Japan  

Description of course: The University of Tokyo provides a Graduate Major in Artificial Intelligence, comprising four fields: basic mathematical sciences, computation theory, modeling, and artificial intelligence.

Read more about the course here.

 

33. Shanghai Jiao Tong University

Score in our point system: 43  

Duration of Course: 3 weeks

Qualification: Artificial Intelligence Principles and Applications  

Language: Chinese  

Location: Shanghai, China  

Description of course: Shanghai Jiao Tong University offers a program focusing on the principles and applications of artificial intelligence, preparing students to contribute to the field of AI through innovative research and practical applications. The purpose of this course is to help students develop a range of theoretical and practical skills in artificial intelligence. 

Read more about the course here.

 

34. EPFL

Score in our point system: 42  

Duration of Course: 1 – 2 years

Qualification: Master of Data Science (MDS)  

Language: French or English  

Location: Lausanne, Switzerland  

Description of course: EPFL offers a Master of Data Science program, which includes a strong focus on the latest techniques in machine learning and artificial intelligence, equipping students with the skills to analyze and leverage big data.

Read more about the course here.

 

35. The University of British Columbia

Score in our point system: 40  

Duration of Course: 10 months – 2 years

Qualification: Master of Data Science (MDS)  

Language: English  

Location: British Columbia, Canada  

Description of course: The University of British Columbia’s Master of Data Science program integrates AI and machine learning, providing students with the expertise to extract meaningful insights from complex data sets. Students have access to real data sets and are allowed to learn outside the classroom for real-world experience.

Read more about the course here.

 

36. Technical University of Munich

Score in our point system: 36  

Duration of Course: 4 years

Qualification: Robotics, Cognition, Intelligence – Master of Science (M.Sc.) & Artificial Intelligence in Engineering  

Language: German  

Location: Munich, Germany  

Description of course: The Technical University of Munich offers a Master of Science in Robotics, Cognition, Intelligence. Unique in German, the program combines engineering disciplines with informatics. It’s offered on a full-time basis only.

Read more about the course here.

 

37. University of Hong Kong

Score in our point system: 34  

Duration of Course: 1.5 years

Qualification: Master of Science in Artificial Intelligence  

Language: English  

Location: Hong Kong  

Description of course: The University of Hong Kong provides a Master of Science in Artificial Intelligence, designed to promote the applications of mathematics, statistics and computer science to facilitate AI in decision-making and problem-solving for private and public sectors.

Read more about the course here.

 

38. University of Minnesota – Twin Cities

Score in our point system: 33  

Duration of Course: 18 months

Qualification: M.S. in Robotics  

Language: English  

Location: Minnesota, USA  

Description of course: The University of Minnesota – Twin Cities offers a Master of Science in Robotics, emphasizing the development of intelligent machines and systems through the integration of AI, machine learning, and robotics.

Read more about the course here.

 

39. Catholic University of Leuven

Score in our point system: 31  

Duration of Course: 1 – 2 years

Qualification: Master in Artificial Intelligence  

Language: English  

Location: Leuven, Belgium  

Description of course: The Catholic University of Leuven offers a Master’s program in Artificial Intelligence, providing a comprehensive education in AI technologies and their applications across various sectors.

Read more about the course here.

 

40. Harbin Institute of Technology

Score in our point system: 30  

Duration of Course: 6 months

Qualification: Artificial Intelligence and Information Processing  

Language: Chinese

Location: Heilongjiang, China  

Description of course: The Harbin Institute of Technology offers a program in Artificial Intelligence and Information Processing, focusing on the development of AI technologies and their application in information processing.

Read more about the course here.

 

41. Pennsylvania State University

Score in our point system: 26  

Duration of Course: 1 – 4 years

Qualification: Online Master of Professional Studies in Artificial Intelligence  

Language: English  

Location: Online

Description of course: Pennsylvania State University offers an Online Master of Professional Studies in Artificial Intelligence, providing the opportunity to gain crucial skills in the field of artificial intelligence. It’s a set-your-own-pace course, and supports students from a range of backgrounds and circumstances.

Read more about the course here.

 

 

42. Delft University of Technology

Score in our point system: 23  

Duration of Course: 1 – 2 years

Qualification: MSc Computer Science  

Language: Dutch and English

Location: Delft, Netherlands  

Description of course: The MSc Computer Science program at TU Delft is a full-time, two-year program accredited by the NVAO. The program includes a strong focus on artificial intelligence, offering students a comprehensive education in computer science with the opportunity to specialize in AI.

Read more about the course here.

 

43. Zhejiang University

Score in our point system: 23  

Duration of Course: 3 years

Qualification: Artificial Intelligence, Ph.D.  

Language: Chinese

Location: Zhejiang, China  

Description of course: Zhejiang University offers a Ph.D. program in Artificial Intelligence, aimed at developing research and innovation skills in AI, preparing students for academic and industry leadership roles in the field.

Read more about the course here.

 

44. Ohio State University

Score in our point system: 21  

Duration of Course: 1 – 2 years

Qualification: MS in Mechanical Engineering – Automotive Systems and Mobility  

Language: English  

Location: Ohio, USA  

Description of course: The Ohio State University offers a Master of Science in Mechanical Engineering, focusing on diverse areas of the field. The program emphasizes multidisciplinary research and collaboration across departments. Students engage in advanced research, benefiting from opportunities like the Optional Practical Training (OPT) program, which allows international graduates three years of work permission in the U.S.

Read more about the course here.

 

45. University of Manchester

Score in our point system: 17  

Duration of Course: 1 -2 years

Qualification: MSc ACS: Artificial Intelligence  

Language: English  

Location: Manchester, UK  

Description of course: The University of Manchester offers an MSc in Artificial Intelligence, focusing on AI techniques like learning from data, reasoning, and optimization. The 12-month full-time program is designed for students with a strong computer science background, offering a blend of core and elective courses to explore AI’s diverse applications.

Read more about the course here.

 

46. Purdue University

Score in our point system: 15  

Duration of Course: 11 months

Qualification: Post Graduate Certificate in AI and Machine Learning  

Language: English  

Location: Online

Description of course: Purdue University’s AI and machine learning certification, offered online in collaboration with Simplilearn, provides an in-depth understanding of AI concepts. The program covers data science, machine learning, deep learning, NLP, and speech recognition, including capstone projects in various industries, enhancing professional profiles globally.

Read more about the course here.

 

47. Huazhong University of Science and Technology

Score in our point system: 9  

Duration of Course: 2 years

Qualification: MS in Artificial Intelligence  

Language: English

Location: Huazhong, China  

Description of course: Huazhong University of Science and Technology provides a Master of Science in Artificial Intelligence, focusing on the foundational and advanced aspects of AI, preparing students for careers in AI research and development.

Read more about the course here.

 

 

48. Beihang University

Score in our point system: 9 

Duration of Course: 2 – 3 years

Qualification: Computer Science and Technology (Master’s Degree)  

Language: Chinese  

Location: Beijing, China  

Description of course: Beihang University offers a Master’s degree in Computer Science and Technology, with a curriculum that includes a strong emphasis on artificial intelligence, equipping students with the skills to innovate in the field of AI. The course is only available to international students who must have a bachelor’s degree.

Read more about the course here.

 

49. University of Waterloo

Score in our point system: 8  

Duration of Course: 1 – 3 years

Qualification: Master of Data Science and Artificial Intelligence (MDSAI)  

Language: English  

Location: Ontario, Canada  

Description of course: The University of Waterloo’s MDSAI program integrates data science and artificial intelligence, offering students a comprehensive education in leveraging AI and analytics to derive insights and create value in various domains. It is available full-time and part-time.

Read more about the course here.

 

50. Arizona State University – Tempe

Score in our point system: 6  

Duration of Course: 1 – 2 years

Qualification: Master of Science in Robotics and Autonomous Systems – Artificial Intelligence  

Language: English  

Location: Arizona, USA  

Description of course: Arizona State University – Tempe offers an MS in Robotics and Autonomous Systems with a specialization in Artificial Intelligence. The concentration focuses on robotics, controls, autonomous systems, artificial intelligence, and related fields.

Read more about the course here.

 

Got an AI program recommendation?

The number of universities offering artificial intelligence-related courses is growing all the time, especially considering how new and constantly evolving this topic is.

All of this means that this list is made up of the best universities around the world to study artificial intelligence and machine learning based on our knowledge and expertise right now. With the speed at which this field is developing, we could well have missed some out. 

We’re committed to continuing to update this list as more courses and programs are added = and we’ll gladly add more to the list as they become available or we’re made aware of them. 

Please feel free to email if you think your university is missing, including details of the course and how it relates to artificial intelligence. We can then review it and decide if it merits a place on the list.

Sources

We used the Times Higher Education (THE) international university ranking for the prestige requirement for this ranking. To find the number of AI research attributed to each institution, we used this official ranking from EduRank. Finally, to find the courses in artificial intelligence available at each institution analyzed, we used data from Masters in AI, as well as our own independent research on each university.

The post Best Universities To Study AI in 2026 appeared first on DailyAI.