Tech Xplore on MSN
Adaptive drafter model uses downtime to double LLM training speed
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
New generations of memristors could reliably store information directly within the molecular structures of graphene-like materials. In a new review published in Nanoenergy Advances, Gennady Panin of ...
For nearly two decades, two-dimensional (2D) semiconductors have been studied as a complement or possible successor to silicon transistors, promising smaller, faster and more energy-efficient ...
Mercury 2 targets structured tasks with schema-aligned JSON output; supports OpenAI API drop-in integration, for simpler deployment.
The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Abstract: Revealing the evolutionary mechanisms of gas-liquid two-phase flow patterns is vital for production and transport in industry. The resistance sensor array is used to collect gas-liquid ...
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