In the race to make solar energy cheaper and more efficient, a team of UNSW Sydney scientists and engineers have found a way to push past one of the biggest limits in renewable technology.
Tech Xplore on MSN
AI efficiency advances with spintronic memory chip that combines storage and processing
To make accurate predictions and reliably complete desired tasks, most artificial intelligence (AI) systems need to rapidly ...
A Chinese research team has developed a novel sandwich buffer layer that enhances carrier transport and efficiency in semi-transparent perovskite-silicon tandem solar cells. Minimodules incorporating ...
Synopsys Spotlights Agentic AI, Accelerated Computing, and AI Physics at NVIDIA GTC Washington, D.C.
Synopsys, Inc. (NASDAQ: SNPS) is attending NVIDIA GTC Washington, D.C. October 27-29 to showcase advancements in engineering ...
To be fair, humans aren't shaped like sheep or grains. And unlike in the study with the board, Zuriguel believes that all ...
2don MSN
Every generation, we push physics a little further: Qualcomm on its latest flagship mobile chip
Qualcomm unveiled the Snapdragon 8 Elite Gen 5, its most powerful mobile platform yet, at Snapdragon Summit 2025. This new ...
Processors Best CPU for gaming in 2025: These are the chips I recommend for gaming, productivity, and peace of mind Motherboards Best gaming motherboards in 2025: these are the AMD and Intel mobos I'd ...
AZoQuantum on MSN
Breakthrough Quantum Memory Hits 94.6% Efficiency, 98.9% Fidelity
Innovative quantum memory demonstrates high efficiency and fidelity, setting a new benchmark and enhancing prospects for quantum computing and communication.
You see them everywhere you go, but it’s still good to know the subtle nuances around what a BEV is and isn’t. Battery-electric vehicles, or BEVs, are increasingly all over the place. Heck, the ...
The Yabu Laboratory at the Tohoku University Advanced Institute for Materials Research (WPI-AIMR) has recently demonstrated a ...
Performance is no longer about achieving more speed at any cost but about operating within finite power budgets.
Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
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