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Researchers explore how to build T-1000-style robots
Researchers have developed small robots that can work together as a collective that changes shape and even changes between solid ...
Tag: Researchers
Microsoft researchers introduce Bioemu-1: a deep learning model that can generate thousands of protein structures per hour in a single GPU
Proteins are the essential component behind almost all biological processes, from catalyzing reactions to transmission signals inside the cells. While ...
Moonshot AI and UCLA researchers release Moonlight: a mixture model 3B/16B-PARAMETER (MOE) Trained with 5.7T tokens using MUON OPTIMIZER
The training of large language models (LLM) has become central to advance artificial intelligence, however, it is not exempt from ...
Stanford researchers introduce octotools: an open source AI framework without training designed to address complex reasoning in various domains
Large language models (LLM) are limited by complex reasoning tasks that require multiple steps, specific knowledge of the domain or ...
These researchers used NPR Sunday puzzle questions to compare AI 'reasoning' models
Every Sunday, the nPR host Will Shortz, the Guru de Crucigramas of the New York Times, consult thousands of listeners ...
Kaist and Deepauto AI researchers propose Infinithip: a LLM frame of long context that changes the 3M-Token inference in a single GPU
In large language models (LLM), extended input sequences processing requires significant computational and memory resources, leading to a slower inference ...
Researchers from Eth Zurich and Tum share everything you need to know about the multimodal adaptation and generalization of AI
It is not necessary to obtain an option that artificial intelligence has developed tremendously in several fields. However, the precise ...
Princeton University researchers present themselves and themselves: optimize LLM performance with unique models sets
Large language models (LLM) such as GPT, Gemini and Claude use vast training sets and complex architectures to generate high ...
Microsoft AI researchers introduce advanced low -bit quantification techniques to allow efficient LLM implementation on edge devices without high computational costs
Edge devices such as smartphones, IoT devices and integrated systems process data locally, improving privacy, latency reduction and improvement of ...
Google Deepmind researchers unlock the regression potential based on decoding for tabular and density estimation tasks
Regression tasks, which imply predicting continuous numerical values, have traditionally been based on numerical heads such as Gaussian parameterizations or ...
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