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Why biological data matters more in AI drug discovery

ai, AI (Artificial Intelligence), AI in Action, Artificial Intelligence, data analysis, Deep Dives, Drug discovery, Healthcare & Wellness AI, Healthcare AI, How It Works, Human-AI Relationships, Machine Learning, wellness

GSK has entered into a research collaboration with British biotechnology company Relation Therapeutics worth up to $110 million, expanding the companies’ existing work in AI-assisted drug discovery. Under the agreement, Relation will generate large-scale datasets measuring how human cells respond to genetic changes and drug interventions. The data will be used to train AI models […]

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Costa Rica scientists placed an AI touchscreen in a wild forest; 16 capuchin monkeys used it for banana rewards

ai, AI (Artificial Intelligence), Artificial Intelligence

In a groundbreaking development, scientists created an AI system designed to explore the cognitive functions of capuchin monkeys in the wild. This state-of-the-art system leverages facial recognition and touchscreen interaction to perform automated cognitive tests. Dubbed CapuchinAI, it facilitates the tracking of unique learning and memory traits. Promising results were observed during tests in a

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How China’s new two-stage plan aims to destroy Earth-bound asteroids before impact

ai, AI (Artificial Intelligence), Artificial Intelligence

Innovative Chinese scientists suggest a groundbreaking strategy for asteroid deflection by burying nuclear bombs deep within these celestial bodies. The plan involves deploying a high-speed penetrator to carve out a nest for the nuclear device, which, upon detonation, could obliterate a 100-meter-wide asteroid. This offers a promising new tactic for planetary defense against imminent threats

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Contemporary AI lacks the imagination to diverge or negate in science

ai, AI (Artificial Intelligence), AI & Machine Learning, AI & ML, AI & Society, AI 2025 trends

Bold projections that artificial intelligence will accelerate scientific discovery have raced ahead of evidence from working scientists, and the field still lacks large-scale, scientist-in-the-loop tests of these claims. Here we mount the largest such evaluation to date and map what AI cannot yet do for science. We invited authors of 121,640 recent preprints across biology,

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