AI Research

Twitter

Facebook

Copy Link

Key Facts

FocusScaling, Reasoning, Safety, Multimodality

Key OrgsGoogle DeepMind, Stanford HAI, MILA, MIT CSAIL, Allen AI

Key EventsNeurIPS, ICML, ICLR

Top News

David Silver raises $1.1B for AI that learns without human data, challenging LLM dominance

Former DeepMind researcher David Silver has secured $1.1 billion in record-breaking seed funding for Ineffable Intelligence at a $5.1 billion valuation. The London-based startup aims to build a 'superlearner' AI using reinforcement learning rather than human-generated data, directly challenging the large language model paradigm that currently dominates the AI industry.

Startups11 sources

David Silver raises $1.1B for AI that learns without human data, challenging LLM dominance

Startups11 sources

AI predicts ADHD in children by age 5, years before most get diagnosed

Duke Health researchers developed an AI tool that analyzes routine electronic health records to predict ADHD risk in children as young as 5, years before typical diagnosis. By mining hidden patterns in medical data from over 140,000 children, the model identifies developmental and behavioral markers that clinicians might miss, offering a clinical safety net for early intervention.

Health8 sources

AI predicts ADHD in children by age 5, years before most get diagnosed

Health8 sources

Google DeepMind to open world's first AI campus in South Korea, dispatching 10 US engineers

Google DeepMind will establish its first-ever AI campus in Seoul by 2026, following a meeting between CEO Demis Hassabis and South Korean President Lee Jae Myung. The facility will serve as a hub connecting Google engineers with local startups and researchers, with at least 10 engineers dispatched from US headquarters. The agreement marks South Korea's push to become a top-three AI powerhouse alongside the US and China.

Technology4 sources

Google DeepMind to open world's first AI campus in South Korea, dispatching 10 US engineers

Technology4 sources

Stanford Professor James Zou targets $1 billion valuation for AI physiology startup

Stanford's James Zou is raising approximately $100 million at a $1 billion valuation for Human Intelligence, an AI startup focused on human physiology research. The company builds on Zou's decade of research, including FDA-cleared cardiac AI and disease prediction models that analyze sleep data to detect conditions years before symptoms appear.

Startups2 sources

Stanford Professor James Zou targets $1 billion valuation for AI physiology startup

Startups2 sources

AI model designs new antibiotic in early tests, accelerating drug discovery against resistant bacteria

McMaster University researchers developed SyntheMol-RL, a generative AI model that explores 46 billion possible compounds to design antibiotics. In early tests, the AI created synthecin, a novel antibiotic that proved highly effective against drug-resistant staph infections in mouse models. The breakthrough demonstrates how AI can accelerate the slow, costly search for new antimicrobial medicines.

Science2 sources

AI model designs new antibiotic in early tests, accelerating drug discovery against resistant bacteria

Science2 sources

AI agent designs complete RISC-V CPU from scratch in 12 hours using autonomous workflow

Chip design startup Verkor.io claims its agentic AI system, Design Conductor, autonomously produced a complete RISC-V CPU core in just 12 hours—a process that typically takes 18 to 36 months. The resulting VerCore processor achieved 1.48 GHz on a 7nm process and scored 3,261 on CoreMark, though it remains unverified in physical silicon.

Technology2 sources

AI agent designs complete RISC-V CPU from scratch in 12 hours using autonomous workflow

Technology2 sources

Princeton creates 3D neural network that computes with living brain cells to tackle AI energy crisis

Princeton University researchers have developed a groundbreaking bioelectronic device that merges tens of thousands of living brain cells with a 3D electronic mesh. The system successfully recognizes complex patterns while consuming just one-millionth the power of conventional AI systems. Monitored over six months, the device was trained to differentiate electrical patterns, demonstrating biocomputing capabilities that could reshape artificial intelligence and advance neuroscience research.

Science4 sources

Princeton creates 3D neural network that computes with living brain cells to tackle AI energy crisis

Science4 sources

Elon Musk takes the stand in OpenAI lawsuit that could reshape the company's future

Elon Musk testified in a California federal court this week, alleging that Sam Altman and Greg Brockman deceived him into funding OpenAI as a nonprofit, only to pivot toward a for-profit entity. The high-stakes trial could result in up to $134 billion in damages and force major governance changes at OpenAI, potentially derailing its IPO plans while raising fundamental questions about AI safety and corporate accountability.

Policy152 sources

Elon Musk takes the stand in OpenAI lawsuit that could reshape the company's future

Policy152 sources

AI galaxy hunters analyzing cosmic data intensify the global GPU crunch

NASA's upcoming Nancy Grace Roman telescope will generate 20,000 terabytes of data, adding to the James Webb Space Telescope's daily 57 gigabytes. Astronomers like UC Santa Cruz's Brant Robertson are turning to AI and GPUs to analyze this flood of cosmic information, but they're now competing for scarce computing resources in an already strained market.

Science2 sources

AI galaxy hunters analyzing cosmic data intensify the global GPU crunch

Science2 sources

Sony AI's Ace robot defeats elite table tennis players and targets world championship

Sony AI unveiled Ace, an autonomous AI robot that defeated three out of five elite table tennis players in official competition. The system combines high-speed cameras, deep reinforcement learning, and an eight-jointed robotic arm with 20-millisecond reaction times. While Ace lost to professional players initially, it has since beaten top-25 ranked competitors, marking a breakthrough in physical AI.

Science28 sources

Sony AI's Ace robot defeats elite table tennis players and targets world championship

Science28 sources

Mary Minno and Wojcicki family launch AI Health Fund to back academic healthcare startups

Former Google product manager Mary Minno has launched Treehub, a six-month residency program, alongside the AI Health Fund, targeting $10 million to invest in startups at the intersection of healthcare and AI. Backed by Tim Draper, Anne Wojcicki, and Esther Wojcicki, the venture aims to bridge the gap between academic research and fundable companies, with early checks ranging from $50,000 to $150,000.

Startups4 sources

Mary Minno and Wojcicki family launch AI Health Fund to back academic healthcare startups

Startups4 sources

NeoCognition raises $40M to build self-learning AI agents that specialize like human experts

NeoCognition, an AI research lab spun out of Ohio State University, has emerged from stealth with $40 million in seed funding to tackle a critical problem: current AI agents complete tasks successfully only 50% of the time. The startup is developing agents that learn like humans by building world models of their operating environments, enabling them to rapidly specialize in any domain rather than remaining unreliable generalists.

Startups3 sources

NeoCognition raises $40M to build self-learning AI agents that specialize like human experts

Startups3 sources

Multimodal AI model predicts PIK3CA mutations in breast cancer with cost-effective precision

Researchers from Hebei Medical University Fourth Hospital developed a multimodal AI framework that combines whole-slide pathology images with clinical data to predict PIK3CA mutations in breast cancer. The model achieved an AUC of 0.745 in internal testing and demonstrated strong generalizability across external cohorts, offering a practical alternative to expensive molecular testing for guiding PI3K-targeted therapies.

Science2 sources

Multimodal AI model predicts PIK3CA mutations in breast cancer with cost-effective precision

Science2 sources

Quantum computers could boost AI by processing large datasets with minimal memory requirements

Researchers have developed a breakthrough method for using quantum computers to boost AI performance on massive datasets. The technique allows quantum machines to process data in smaller batches without requiring impossibly large memory systems. A quantum computer with just 300 logical qubits could outperform a classical computer built using every atom in the observable universe for certain AI tasks.

Science3 sources

Quantum computers could boost AI by processing large datasets with minimal memory requirements

Science3 sources

AI systems judge people with systematic biases stronger than humans, study reveals

A Hebrew University study analyzing over 43,000 simulated decisions reveals AI systems exhibit systematic and predictable biases when evaluating people. While AI mimics human trust, it relies on rigid criteria rather than holistic impressions, leading to stronger biases in critical decision-making roles like job screening and creditworthiness assessment.

Science2 sources

AI systems judge people with systematic biases stronger than humans, study reveals

Science2 sources

Prev 1…141516…36 Next