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Anthropic study of 207,000 sessions shows Claude mostly used for data analysis, not idea generation

Anthropic analyzed 207,000 Claude and Claude Code research sessions using privacy-preserving methods to map how scientists use the AI across fields and tasks. It found heavier relative use in formal sciences like computer science, mathematics and statistics, and lighter use in health and lab-based physical sciences, with data analysis and writing dominating usage—accounting for roughly a third of Claude sessions and nearly half of Claude Code sessions.

UK computer science student says university's inconsistent AI policies are hurting coursework quality

A computer science and AI undergraduate writes that their university has repeatedly reversed course on AI policy, at times mandating its use and at other times banning it entirely within the same term. The student says assignment briefs now appear to be generated or lightly edited using AI tools like Claude, resulting in more errors, last-minute corrections, and workloads that have roughly tripled compared to before.

IEEE Computer Society names 2026-2027 Emerging Technology Grant winners

The IEEE Computer Society announced recipients of its 2026-2027 Emerging Technology Grants Program on October 30, 2026. The selected recipients will run targeted programs covering pressing topics in computer science and engineering, including artificial intelligence.

OpenAI and Anthropic AI models claim to disprove 27-year-old exponential time hypothesis

OpenAI and Anthropic both announced AI-generated proofs this week that refute the exponential time hypothesis, a foundational assumption in theoretical computer science used to explain why certain problems require exponentially more effort as they grow larger. The proofs, published on GitHub in natural language and machine-checkable Lean format, have not yet been independently verified by researchers. OpenAI has reached out to the hypothesis's original proponents and other academics to help review and validate the findings, including funding a dedicated conference.

OpenAI publishes new AI-generated results in math, computer science and physics

OpenAI has released two new manuscripts, one proving Sogge's local smoothing conjecture for waves across all spatial dimensions, and another presenting a proof that the Exponential Time Hypothesis is false. The company also worked with external expert groups to validate and explain computer science and physics findings, including a proof involving interacting quantum field theories with gauge fields and fermions in four dimensions, though the physics writeup has not yet been published.

PHP maintainers say two emergency patches are imminent

The PHP project has signaled that it intends to release two emergency patches in the near term, according to a notice from its maintainers. Specific details about the vulnerabilities or bugs being addressed were not disclosed in the announcement.

Doubl introduces Maxwell, an AI layer between code and hardware

Doubl has unveiled Maxwell, described as a new kind of model that operates between source code and the hardware executing it, aiming to let software adapt during execution rather than run purely as fixed, deterministic instructions. The announcement frames traditional computing as splitting all 'thinking' into the programming stage, with execution remaining mechanical, and positions Maxwell as a way to bring AI-driven adjustment into the execution process itself.

Montana State professor Carson Gross argues students must still learn to code despite AI

Carson Gross, a computer science professor at Montana State University, says he tells students that even though AI can generate code for assignments, they should write it themselves. He argues programming is fundamentally about problem-solving and managing complexity, skills he believes remain valuable despite AI tools, while warning that junior programmers who rely on AI-generated code risk never developing the ability to read and understand code.

University of Illinois promotes online Master of Computer Science program amid AI demand

The University of Illinois is highlighting its Master of Computer Science degree, aimed at computing professionals and recent graduates who want deeper expertise in building and adapting AI-driven systems, not just using them. The program is being marketed through IEEE Computer Society as a pathway for advancing computing careers amid rapid industry change.

CS graduates face 7.1% jobless rate as AI reshapes entry-level hiring

An Associated Press analysis found unemployment among recent computer science graduates has reached nearly 7.1%, higher than several humanities majors. One recent Tulane graduate, Jack Zemke, struggled with hundreds of unanswered applications before landing a job at a civil engineering firm through a networking encounter, later moving to an AI startup. Colleges are responding by adding business-focused internships and AI-tool training as the job market shifts.

Nova Learning survey shows student interest shifting from CS/AI to Engineering

A survey by academic mentoring platform Nova Learning found that the share of middle and high school students naming Computer Science and AI as their top academic interest dropped from 42.3% in 2025 to 27.9% in 2026, while Engineering's share nearly doubled, rising from 11.9% to 23%, led largely by Mechanical and Aerospace Engineering. Separately, the National Student Clearinghouse Research Center reported an 8.1% drop in undergraduate Computer and Information Science enrollment at four-year institutions, to about 606,000 students, even as Engineering enrollment grew.

Companies Still Hiring CS Grads, But Prioritize AI Fluency Over Coding Basics

Despite widespread claims that artificial intelligence is destroying the value of computer science degrees, employers say demand for graduates remains strong. However, hiring managers now expect candidates to demonstrate practical skill working alongside AI tools rather than just traditional programming knowledge.