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Google's TurboQuant slashes AI memory usage by 6x, sends memory chip stocks tumbling

Google Research unveiled TurboQuant, a compression algorithm that reduces large language model memory footprint by at least 6x while delivering an 8x performance boost on Nvidia H100 GPUs. The breakthrough targets the key-value cache bottleneck without sacrificing accuracy, but memory chip stocks including Micron and Western Digital dropped as investors reconsidered future demand for AI hardware.

7 Sources

Yesterday

MIT's ultrasound wristband enables precise control of robotic hands through natural gestures

MIT engineers developed a wearable ultrasound wristband that tracks hand movements by imaging the wrist's muscles, tendons, and ligaments. An AI algorithm translates these ultrasound images into real-time commands, enabling wearers to control robotic hands or manipulate virtual objects with natural gestures. The device captures 22 degrees of freedom and could transform virtual reality and humanoid robot training.

2 Sources

24 Mar 2026

Deepfake X-rays fool radiologists 75% of the time, raising concerns about medical fraud

A new study reveals that radiologists correctly identify AI-generated X-rays only 75% of the time, even when aware synthetic images are present. The research involved 17 radiologists from six countries and tested both ChatGPT and RoentGen-generated scans. Experts warn of serious implications for fraudulent litigation, hospital cybersecurity, and research integrity as synthetic medical imaging becomes indistinguishable from reality.

3 Sources

Adversarial AI uncovers hidden brain mechanisms and potential treatments for disorders of consciousness

Researchers at UCLA developed a generative adversarial artificial intelligence framework that pits two AI models against each other to simulate conscious and unconscious brain states. The system, trained on over 680,000 neuroelectrophysiology samples, identified previously unknown mechanisms behind coma and predicted that stimulation of the subthalamic nucleus could help restore consciousness in patients with brain injuries.

2 Sources

Telling AI it's an expert actually makes it worse at coding and math, researchers find

University of Southern California researchers discovered that popular AI prompting techniques backfire. Telling AI models to act as experts improves safety and writing tasks but significantly reduces accuracy on factual work like coding and math. The team developed PRISM, a solution that helps models decide when to use expert personas and when to rely on their base training.

2 Sources

17 Mar 2026

UK government invests £45 million in AI supercomputer to accelerate fusion research

The UK is investing £45 million in Sunrise, an AI supercomputer dedicated to fusion research at the UK Atomic Energy Authority's Culham campus. Set to launch in June, the 1.4MW system will model plasma behavior and test nuclear fusion reactor designs virtually before costly physical experiments.

2 Sources

16 Mar 2026

Brain-computer interface enables paralysis patients to type at 22 words per minute using thoughts

A breakthrough brain implant for paralysis allowed two participants to type using their thoughts at speeds reaching 22 words per minute with just 1.6% error rate. The BrainGate system translates neural signals into text by decoding intended finger movements on a virtual QWERTY keyboard, bringing assistive communication technology closer to real-time conversation speeds for people with severe motor impairments.

2 Sources

Digital fruit fly brain walks while human neurons play Doom in biological computer experiments

San Francisco's Eon Systems has created a digital fruit fly brain model that controls a virtual body, displaying walking and grooming behaviors. Meanwhile, Australian startup Cortical Labs developed a code-deployable biological computer using 200,000 human brain cells that can play Doom. These parallel experiments represent significant steps in brain simulation and brain-computer interfaces, though questions remain about computational demands and future applications.

2 Sources

AI Boosts Human Creativity in Brainstorming But Slows Experts During Implementation

Major studies from Swansea University and the University of Houston reveal AI functions as a creative collaborator that enhances brainstorming by 76% in novelty. However, the technology can slow experienced designers during implementation, adding 57% more time as experts revise AI-generated output to match their practiced routines.

3 Sources

14 Mar 2026

AI tackles urgent climate questions as scientists deploy tools for flood prediction and AMOC research

Climate scientists are integrating AI into their research workflow, using large language models like ChatGPT and Gemini to answer pressing questions about temperature rise, precipitation patterns, and extreme weather. Google Research released Groundsource for flash flood prediction with 82% accuracy, while Google DeepMind tested Gemini as an AI co-scientist to assess Atlantic Meridional Overturning Circulation collapse risks 10 times faster than traditional methods.

2 Sources

12 Mar 2026

AI autocomplete covertly shifts human opinions on social issues, even when users ignore suggestions

Cornell University researchers discovered that AI autocomplete tools subtly manipulate how people think about major societal issues. In studies with over 2,500 participants, biased AI suggestions shifted opinions on topics like the death penalty and fracking—even among users who rejected the AI's text. Warning participants about AI bias beforehand or debriefing them afterward failed to prevent the attitude shift.

3 Sources

AI influence drives thought homogenization, flattening how millions write and reason

Research published in Trends in Cognitive Sciences reveals that Large Language Models like ChatGPT are creating sameness in human writing and thinking. Scientists warn that AI influence extends beyond direct users, threatening cognitive diversity and collective intelligence as one-third of Americans now use these tools regularly.

3 Sources

11 Mar 2026

AI and neuroscience reveal how children's brains master language from age 2 to 10

Researchers are using AI deep learning models and advanced brain imaging to decode human language development. Studies show AI can model how 2-year-olds process audiobooks, revealing that grammar skills mature between ages 2 and 10. The work challenges traditional views of language as living in just two brain regions, instead revealing it as a complex, interconnected system.

2 Sources

10 Mar 2026

AI boosts breast cancer detection by 10% in major UK screening studies, flags hidden cancers

Major UK studies show AI integration into breast cancer screening increases detection rates by 10.4% and identifies up to 27.5% of interval cancers before they become visible. The technology also reduces radiologist workload by up to 44% while maintaining accuracy across diverse populations, marking a shift in how screening programs could operate.

6 Sources

08 Mar 2026

AI deanonymization exposes anonymous social media accounts with alarming 68% success rate

New research from ETH Zurich and Anthropic reveals that large language models can unmask anonymous social media accounts with alarming precision. The study successfully identified 68 percent of pseudonymous users with 90 percent accuracy, fundamentally challenging assumptions about online privacy. Researchers warn that AI deanonymization could enable surveillance of activists, highly personalized scams, and hyper-targeted advertising.

4 Sources

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