Sound Waves Give Neuromorphic Chips a Brain-Simulating Edge

By mimicking how the brain operates, neuromorphic computing can use dramatically less energy than conventional electronic AI chips. However, even the most sophisticated neuromorphic devices today are still quite simple, using only a small fraction of the number of connections found in human neurons. Now,…

Source: IEEE Spectrum

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The Download: a new hunt for dark matter and Kenya’s case for going solar

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The search for dark matter has been blown wide open For decades, physicists have hunted for weakly interacting massive particles (WIMPs),…

Source: MIT Technology Review

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Geoengineering still faces major practical challenges

Solar geoengineering is often portrayed as a sort of emergency brake. Something along the lines of Pull in case of climate emergency to scatter light-reflecting particles to bounce sunlight out of the atmosphere and cool the planet. But it might be less like a simple…

Source: MIT Technology Review

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The search for dark matter has been blown wide open

Underneath an Apennine massif, below the Jinping Mountains of Sichuan, and at the bottom of a South Dakota mine, there is a cosmic hunt afoot. Isolated deep beneath these rocky shields, massive detectors filled with liquid xenon aim to make the first direct detections of…

Source: MIT Technology Review

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DeepInflation: an AI agent for research and model discovery of inflation

arXiv:2601.14288v2 Announce Type: replace-cross Abstract: We present DeepInflation, an AI agent designed for research and model discovery in inflationary cosmology. Built upon a multi-agent architecture, DeepInflation integrates Large Language Models (LLMs) with a symbolic regression (SR) engine and a retrieval-augmented generation (RAG) knowledge base. This…

Source: cs.AI updates on arXiv.org

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A CEFR-Inspired Classification Framework with Fuzzy C-Means To Automate Assessment of Programming Skills in Scratch

arXiv:2604.00730v2 Announce Type: replace-cross Abstract: Context: Schools, training platforms, and technology firms increasingly need to assess programming proficiency at scale with transparent, reproducible methods that support personalized learning pathways. Objective: This study introduces a pedagogical framework for Scratch project assessment, aligned with the Common European…

Source: cs.AI updates on arXiv.org

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Dissecting model behavior through agent trajectories

arXiv:2606.17454v2 Announce Type: replace Abstract: AI agent performance is not just a modeling problem, it is fundamentally a systems problem. The advanced capabilities of models are realized through agent harnesses. Therefore, a gap between model assumptions and harness behavior can easily prevent the model's full…

Source: cs.AI updates on arXiv.org

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