86 related articles

Google DeepMind undergoes major leadership change: Hassabis becomes Alphabet Chief Scientist to focus on AGI and scientific discovery, while 13-year veteran Kavukcuoglu takes over Gemini and AI research.

A curated guide to free deep learning resources for ML learners, covering Andrew Ng's courses, CS231n, fast.ai, PyTorch tutorials, and a complete learning roadmap from theory to Kaggle practice.

Researchers use AI models to generate complete viral genome sequences never found in nature, with some designs verified as biologically active. This article analyzes the technology, applications in phage therapy and vaccines, and critical biosecurity risks.

Google DeepMind open-sources WeatherNext, an AI weather model that predicts cyclone paths and intensity up to 15 days ahead. Learn about its capabilities and global impact.

Reddit rumors claim Google DeepMind CEO Demis Hassabis is stepping down. This article fact-checks the claim and analyzes potential impacts on Google's AI strategy.

Deep dive into Transformer internals: how MLP layers store facts as key-value memories, why high-dimensional near-orthogonality enables millions of concepts, and how attention and MLP layers collaborate.

How should employment-focused AI master's students choose research directions? Analyzing action recognition, EEG image generation, affective computing, and causal inference from a skill transferability perspective.

Google DeepMind CEO Demis Hassabis reportedly steps down to become chair. Analyzing the background, implications for DeepMind's research direction, and what this means for the AI industry.

Overwhelmed by machine learning? This practical ML roadmap breaks the journey into three phases—math basics, classical ML, and deep learning—with mindset tips and project strategies for engineers.

The EPA's policy interpretation sparks controversy as power facilities for AI data centers may bypass current pollution laws. Analysis of the regulatory gap, community concerns, and the clash between tech progress and environmental protection.

Deep dive into TabPFN's core principles and use cases. Built on Transformer architecture and in-context learning, TabPFN classifies small tabular data in one second without hyperparameter tuning, matching XGBoost accuracy.

Google commits $40M in AI tokens and compute credits to the Genesis Mission to accelerate fundamental science. Explore the implications, opportunities, and challenges of AI-driven discovery.

Reddit leaks OpenAI's internal model codenamed Astra, claiming ten advances in math and theoretical CS. We analyze the rumor's credibility and its implications for AI reasoning.

OpenAI commits $17M to support the DOE's Genesis Mission, expanding frontier AI access and deepening collaboration to accelerate fundamental scientific research in the U.S.

How Isomorphic Labs leverages AlphaFold and cutting-edge AI to shift biosecurity from reactive response to proactive defense, building bioresilience and accelerating drug design against emerging threats.

OpenAI commits $17M to the DOE's Genesis Mission, expanding frontier AI access and deepening collaboration to accelerate fundamental scientific research in the U.S.

Google commits $40M in AI tokens and Google Cloud credits to the DOE's Genesis Mission, deploying Gemini AI models to help lab researchers accelerate scientific discovery over the next decade.

Why AI research automation looks more like data cleaning than inventing the Transformer. Exploring the value of automating 60%-80% of repetitive research work and how human-AI collaboration reshapes the research paradigm.

AI research automation will look more like data cleaning than inventing the Transformer. Explore how automating 60%-80% of repetitive research work reshapes the AI research paradigm.

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