Researchers developed 3D flash memory chips that help self-driving vehicles plan optimal routes, using 74% less energy.
The future of computing has arrived in a flash, literally. In A Nutshell Researchers created a computer that performs complex ...
Nighthawk, which follows IBM's Heron processor, is slated to be available to IBM users by the end of this year, the company said. The chip includes 120 qubits, which are the units of information used ...
Forget tweaking your tech stack — if you’re not rebuilding for agentic AI, you’re already falling behind the next wave of ...
AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear ...
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Optical system uses diffractive processors to achieve large-scale nonlinear computation
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...
UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear ...
This creates what you might call the AI workflow paradox: the faster we can generate code, the more critical it becomes to ...
Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
Abstract: Recent advancements in machine learning and AI have significantly increased the demand for Convolutional Neural Networks (CNNs) due to their high accuracy and robustness. However, CNNs are ...
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