It’s true that the brain slows down as we age, but that’s normal—and all of us can practice some simple strategies to compensate for it.

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

AI demand is triggering a historic memory-chip shortage. Meeting exponential demand for chips will be expensive and maybe even impossible.

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...

Exponential increases in data and a mix of performance requirements are driving a top-to-bottom rethinking of what works best ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

The Ukrainian flag bearer’s disqualification from skeleton over a helmet featuring athletes killed in the war with Russia is yet another example of how politics and the Olympics cannot be separated.

Demand for memory chips due to AI applications has helped boost Micron Technologies stock to new heights. However, in the past, upward cycles have eventually given way to a glut of memory chips on the ...