Signals from the Fringe of Science & Technology
Researchers are building programmable DNA nanomachines — with rigid joints and molecular logic — designed to move through the bloodstream, deliver drugs, and target cancer cells or viruses, though most remain at the proof-of-concept stage.
OIST researchers showed that pairing AI with self-directed inner speech and working memory — invisible to users — improved how their models learned, adapted to new situations, and multitasked, and let the system work with sparse data instead of the extensive data sets usually required.
Northwestern engineers aerosol jet-printed MoS2/graphene artificial neurons that successfully triggered responses from real neurons in live mouse brain tissue — paving the way for neuroprosthetics and lower-energy brain-like AI chips.
The largest creativity comparison ever (over 100,000 humans vs. AI) finds generative AI surpasses average divergent thinking scores, but the most creative humans — especially the top 10% — still decisively outperform every model.
Researchers from the Karlsruhe Institute of Technology, in collaboration with scientific partners, combined large language models with machine learning to build concept graphs from scientific papers — connecting terms that are mentioned together — and used the resulting structure to predict which combinations of scientific concepts could become more significant in the next two or three years, supporting researchers' creative thought processes by surfacing new avenues of research.
A research team from the Institute for Basic Science, Université de Montréal, and NYU published a new analysis in Neuron warning that current scientific methods may not yet be capable of reliably determining whether AI systems are conscious — calling for more careful methodological standards.
NOAA deployed three operational AI-driven global forecast models in February 2026, including the world's first hybrid 62-member physical+AI grand ensemble (HGEFS) that outperforms pure physics models while a 16-day global forecast now uses only 0.3% of the computing resources of the traditional GFS system.
Worcester Polytechnic Institute built Saranga, a bat-ear-inspired acoustic shielding system + neural network that enables centimeter-scale drones to navigate 3D darkness using ultrasound — consuming 1,000x less power, weighing 10x less, and costing 100x less than standard drone sensors, while detecting obstacles as thin as a human hair.
MIT researchers drew on the fully mapped connectome of C. elegans — a millimeter-long worm with just 302 neurons that communicate via graded analog signals rather than digital spikes — to build 'liquid neural networks' that adapt in real-time without retraining and run on a single edge device.
Inspired by neuroscientist Erik Hoel's 'overfitted brain hypothesis' — that dreams prevent neural overfitting by injecting noise — researchers argue that AI hallucinations are not bugs but underdeveloped features, and that deliberately engineered 'dreaming cycles' using synthetic scenario rehearsal could make LLMs more robust than current suppression-based approaches.
Sony AI’s Project Ace became the first autonomous robot to defeat professional human table tennis players in real matches, achieving 20ms end-to-end latency vs 230ms for elite humans, with results published on the cover of Nature.
Scale AI, DoorDash, and Chinese firms are hiring thousands of gig workers across 50+ countries to film household chores and wear exoskeletons to “puppet” humanoid robots — generating over 100,000 hours of training footage for the next generation of home robots.
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