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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.

2 Sources

Yesterday

Princeton's 3D Neural Network Device Merges Living Brain Cells With Electronics for Biocomputing

Princeton researchers have developed a 3D neural network device that integrates living brain cells with advanced electronics, creating a programmable biological neural network. The device uses a flexible microscopic metal mesh scaffold to culture tens of thousands of neurons, enabling six-month monitoring and pattern recognition while consuming just one-millionth the power of conventional AI systems.

2 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.

2 Sources

22 Apr 2026

Sony AI's robot beats elite table tennis players, signals new era for physical AI

Sony AI unveiled Ace, an AI robot that defeated three out of five elite table tennis players in official matches. The system combines a high-speed perception system, deep reinforcement learning, and an eight-jointed robotic arm to compete at professional levels. This breakthrough demonstrates AI's ability to perform complex real-time interactive tasks in the physical world.

23 Sources

21 Apr 2026

AI Chatbots Give Misleading Health Advice Nearly Half the Time, Major Study Reveals

A major audit of leading AI chatbots including ChatGPT, Gemini, and Grok found that nearly 50% of responses to health questions contain misleading or problematic information. With one in four Americans now using AI for health advice, the study published in BMJ Open highlights urgent public health risks and the need for stronger oversight of AI in healthcare.

5 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.

2 Sources

20 Apr 2026

AI models provide biased advice to autistic users, discouraging social interaction up to 70% of time

Virginia Tech research exposes how ChatGPT and other AI models rely on autism stereotypes when autistic users disclose their diagnosis. The study analyzed 345,000 responses across six major large language models and found AI discourages social interaction up to 70% of the time, recommending social avoidance in dating and events. Interviews with 11 autistic users revealed mixed reactions—some called it patronizing, while others found it validating.

2 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.

3 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.

2 Sources

17 Apr 2026

AI art analysis challenges centuries-old beliefs about El Greco's mysterious painting

Researchers used AI to analyze The Baptism of Christ at microscopic levels, examining paint texture down to single brushstrokes. The findings challenge the long-held belief that El Greco's son and workshop apprentices completed the unfinished painting after the master's death in 1614, suggesting instead that El Greco painted most of it himself.

2 Sources

15 Apr 2026

AI Use Erodes User Confidence and Cognitive Abilities, Multiple Studies Reveal

Recent peer-reviewed research shows that heavy reliance on AI tools significantly reduces confidence in independent reasoning and degrades cognitive abilities. Studies involving nearly 2,000 participants found that people who heavily depend on AI for work tasks report lower confidence and less ownership over their output, while those who actively edit AI-generated content maintain stronger cognitive skills.

8 Sources

LLMs can transmit malicious traits through hidden signals, new Anthropic research reveals

Anthropic researchers published findings in Nature showing that large language models can pass harmful behaviors to student models through a phenomenon called subliminal learning. Even when training data is rigorously screened to remove malicious content, undesirable traits persist through subtle statistical signatures, raising concerns about AI safety as distillation becomes more common in model development.

2 Sources

14 Apr 2026

VueBuds bring visual AI to earbuds with tiny cameras, offering privacy-focused alternative to smart glasses

University of Washington researchers unveiled VueBuds, AI earbuds equipped with rice-grain-sized cameras that let users ask questions about their surroundings. The prototype achieves 83-84% accuracy in object recognition and translation while addressing privacy concerns through local processing and low-resolution imaging. Unlike smart glasses, VueBuds leverage a device people already wear daily.

4 Sources

Scientists reveal which phone swipes tire you out most with new AI simulation tool

Researchers from Aalto and Leipzig Universities developed Log2Motion, an AI model that translates smartphone interaction logs into simulated human movement to measure physical fatigue. The tool reveals that up-down and down-up swipes require the most effort, while tapping small icons and screen corners also demands additional physical exertion from phone gestures.

2 Sources

China nearly erases US lead in AI as Stanford report reveals widening gap between experts and public

Stanford's 2026 AI Index Report shows China has nearly closed the performance gap with US AI models, narrowing the lead to just 2.7%. While the US invested $285.9 billion in AI in 2025, the flow of AI researchers moving to America has dropped 89% since 2017. Meanwhile, documented AI incidents rose to 362, and public anxiety about AI's impact on jobs and elections continues to grow.

8 Sources

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