Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
Researchers at The University of Texas at Austin recently received support from the National Science Foundation (NSF) to ...
The newest of technologies defeated by one of the oldest human arts: poetry. This is what a group of Italian researchers and ...
Ending a year in which it celebrated its fifth birthday, the Innovative Optical and Wireless Network project releases details ...
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Flexible position encoding helps LLMs follow complex instructions and shifting states
Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...
The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.
Experts repeatedly point to privacy and security as key advantages of on-device AI. In a cloud situation, data is flying every which way and faces more moments of vulnerability. If it remains on an ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Oracle founder Larry Ellison distinguished between two AI model types: those requiring real-time, low-latency decisions for applications like self-driving cars and robotics, and those where delays are ...
Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.
Microsoft is pushing AI-powered computers as the future of Windows laptops, promising smarter features that make a genuine ...
The current boom in AI technology has ridden on a wave known as ‘deep learning’, which is an approach to creating intelligent ...
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