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New chip design cuts AI energy use by enabling smarter FPGA processing
A new innovation from Cornell researchers lowers the energy use needed to power artificial intelligence—a step toward ...
Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to ...
A new innovation from Cornell University researchers lowers the energy use needed to power artificial intelligence – a step toward shrinking the carbon footprints of data centers and AI infrastructure ...
Minicomputers were mid-range, general-purpose computers in the age of mainframes, the latter taking up large rooms and ...
The “X” in XPU is often interpreted as a placeholder for “any” or “cross-domain,” signifying flexibility and extensibility.
Artificial intelligence (AI) is getting stronger every year—but also more power-hungry. Running large AI models takes a lot of electricity, raising concerns about the environmental impact of data ...
Programmable photonics devices, which use light to perform complex computations, are emerging as a key area in integrated ...
The intersection of programmability, payoff and privacy-preserving cryptography isn’t just a technical upgrade—it’s the ...
Electric-field-assisted assembly enables scalable, lithography-free fabrication of logic circuits using 2D semiconductors. It ...
A single organic device reconfigures as transistor, rectifier and logic gate, offering compact circuits with higher ...
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