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Strange magnet behavior might power future AI computing hardware
Artificial intelligence is colliding with a hard physical limit: the energy and heat of conventional chips. As models scale ...
Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Abstract: A spring in parallel with an effort source (e.g., electric motor or human muscle) can reduce its energy consumption and effort (i.e., torque or force) depending on the spring stiffness, ...
Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...
Abstract: This work considers a parallel task execution strategy in vehicular edge computing (VEC) networks, where edge servers are deployed along the roadside to process offloaded computational tasks ...
Spain has awarded Airbus Helicopters four contracts covering the purchase of 100 helicopters under the National Helicopter Plan, representing the largest helicopter acquisition ever managed by the ...
Lux and Discovery are engineered for scientific workloads that now pair high-fidelity simulation with large AI models, ...
Generative AI is a type of artificial intelligence designed to create new content by learning patterns from existing data.
The tech giant just made a move it hasn’t made in 20 years. Nvidia released one of its biggest updates in nearly 20 years. Key changes make GPUs easier to program, more efficient, and harder for ...
TL;DR: NVIDIA CUDA 13.1 introduces the largest update in two decades, featuring CUDA Tile programming to simplify AI development on Blackwell GPUs. By abstracting tensor core operations and automating ...
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