Browse Category

AI Research News 17 July 2025 - 6 September 2025

AI Invades the Ivory Tower: Universities Race to Ride the Artificial Intelligence Wave

AI Invades the Ivory Tower: Universities Race to Ride the Artificial Intelligence Wave

Summary of Key Facts: The Rise of AI Degrees – From Tech Hubs to Liberal Arts Colleges Not long ago, “artificial intelligence” in college was confined to niche computer science electives or research labs. Today, it’s going mainstream in higher education. Universities are rapidly rolling out AI majors, minors, and certificates to meet student demand and workforce needs. Carnegie Mellon University made headlines in 2018 as the first to offer a bachelor’s degree in Artificial Intelligence skywork.ai. Since then, dozens of universities have followed suit with new programs blending computer science, data science, and machine learning. MIT launched a cross-disciplinary major in
AI Titans Clash: OpenAI vs Anthropic vs Google DeepMind – Who Will Dominate the Future of AI?

AI Titans Clash: OpenAI vs Anthropic vs Google DeepMind – Who Will Dominate the Future of AI?

OpenAI was founded in 2015 by Elon Musk, Sam Altman and others, restructured in 2019 into a capped-profit model, and by late 2024 was valued at about $150 billion after ChatGPT’s rapid adoption. GPT-4, released in March 2023, is OpenAI’s multimodal model that accepts text and images, with a context window up to 32K tokens and top performance on benchmarks such as the Bar Exam. Anthropic, founded in 2021 by Dario and Daniela Amodei, emphasizes safety with Constitutional AI and released Claude 2 in July 2023 featuring a 100,000-token context, with Claude 4 announced in May 2025 adding web browsing
AlphaEvolve: DeepMind’s Gemini-Powered AI That Invents Algorithms and Breaks a 56-Year Record

AlphaEvolve: DeepMind’s Gemini-Powered AI That Invents Algorithms and Breaks a 56-Year Record

In mid-2025, Google DeepMind unveiled AlphaEvolve, an AI coding agent that uses Google’s Gemini LLMs, an evolutionary search process, and automated testing to autonomously design and improve algorithms. AlphaEvolve generates, tests, and evolves programs in an autonomous pipeline, refining entire codebases rather than a single function. It discovered a 4×4 matrix multiplication method over the complex domain using 48 multiplications, beating Strassen’s 49 from 1969 for the first time in 56 years. It devised a data-center scheduling algorithm that recovers about 0.7% of Google’s worldwide compute capacity, with the code in production for over a year. In hardware, it produced
Go toTop