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Centaur AI Doesn't Actually Think — It's Memorizing, New Study Finds
Research

Centaur AI Doesn't Actually Think — It's Memorizing, New Study Finds

Researchers at Zhejiang University tested last year's headline-grabbing "human-like" Centaur model with a simple twist: replace the task with "Please choose option A." The model kept picking the original right answers — exposing pattern memorization, not understanding.

ScienceDaily

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Neuro-Symbolic AI Achieves 100x Energy Reduction While Boosting Accuracy to 95%
Research

Neuro-Symbolic AI Achieves 100x Energy Reduction While Boosting Accuracy to 95%

Tufts University researchers combined neural networks with symbolic reasoning to train AI systems in 34 minutes instead of 36 hours, using just 1% of the energy — while jumping accuracy from 34% to 95%.

ScienceDaily

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Cambridge Engineers Build Brain-Like Chip That Could Slash AI Energy Use by 70%
Research

Cambridge Engineers Build Brain-Like Chip That Could Slash AI Energy Use by 70%

University of Cambridge researchers have engineered a hafnium oxide memristor that mimics how neurons process and store information simultaneously, operating at one-millionth the power of conventional chips.

ScienceDaily

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Sony AI's Project Ace Robot Defeats Professional Table Tennis Players in Historic First
Research

Sony AI's Project Ace Robot Defeats Professional Table Tennis Players in Historic First

Sony AI's autonomous robot has beaten elite and professional table tennis players under official ITTF regulations — the first robot to reach expert-level competitive performance in a physically demanding sport.

Sony AI

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Tufts Researchers Build AI That Uses 100x Less Energy With Higher Accuracy
Research

Tufts Researchers Build AI That Uses 100x Less Energy With Higher Accuracy

A Tufts University team has built a neuro-symbolic AI system that slashes energy use by up to 100x and training time from 36 hours to 34 minutes, while achieving a 95% task success rate versus 34% for standard models.

ScienceDaily / Tufts University

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Nature Study: Human Scientists Still Outperform Top AI Agents on Complex Research Tasks
Research

Nature Study: Human Scientists Still Outperform Top AI Agents on Complex Research Tasks

A major new study published in Nature finds that the best AI agents complete complex scientific tasks at roughly half the rate of expert human scientists, challenging optimistic narratives about near-term autonomous AI research.

Nature

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Stanford AI Index 2026: China Closes the Gap, Public Trust Hits New Low
Research

Stanford AI Index 2026: China Closes the Gap, Public Trust Hits New Low

Stanford HAI releases its annual AI Index report, revealing that China has effectively erased the US lead in frontier AI, generative AI adoption has hit 53% globally, and public trust in government AI oversight has collapsed to 31% in the US.

Stanford HAI

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Google TurboQuant Slashes LLM Memory 6x with Zero Accuracy Loss
Research

Google TurboQuant Slashes LLM Memory 6x with Zero Accuracy Loss

Google Research unveils TurboQuant, a training-free algorithm that compresses the KV cache of large language models by up to 6x at 3-bit precision — with no retraining, no calibration data, and no measurable quality drop.

Google Research / TechCrunch

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Sygaldry Raises $139M to Build Quantum-Accelerated Servers for AI
Research

Sygaldry Raises $139M to Build Quantum-Accelerated Servers for AI

Founded by quantum computing pioneer Chad Rigetti, Sygaldry Technologies has raised $139 million to develop quantum-accelerated AI servers that promise to dramatically cut the cost and energy required to train and run large models.

GlobeNewswire

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DOE Awards $34M to Accelerate Catalyst Discovery Using AI and Self-Driving Labs
Research

DOE Awards $34M to Accelerate Catalyst Discovery Using AI and Self-Driving Labs

The U.S. DOE's ARPA-E commits $34 million to 12 projects pairing AI with autonomous laboratories, aiming to compress industrial catalyst development timelines from 10 years down to one.

ARPA-E

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NVIDIA Showcases Physical AI Breakthroughs at National Robotics Week 2026
Research

NVIDIA Showcases Physical AI Breakthroughs at National Robotics Week 2026

NVIDIA used National Robotics Week to highlight major advances in robot learning, simulation infrastructure, and physical AI foundation models that are accelerating real-world robot deployment.

NVIDIA Blog

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Tufts Researchers Achieve 100x AI Energy Reduction with Neuro-Symbolic Breakthrough
Research

Tufts Researchers Achieve 100x AI Energy Reduction with Neuro-Symbolic Breakthrough

Scientists at Tufts University have developed a neuro-symbolic AI system that slashes energy consumption 100-fold while boosting task accuracy from 34% to 95%, cutting training time from 36 hours to 34 minutes.

ScienceDaily

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Study: AI Reaches Expert-Level Accuracy in Medical Diagnosis
Research

Study: AI Reaches Expert-Level Accuracy in Medical Diagnosis

New Stanford University research shows AI models achieving 95% accuracy in medical image diagnosis.

Nature Medicine

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