New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
Tech Xplore on MSN
Shrinking AI memory boosts accuracy, study finds
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
If you are interested in learning more about how you can use AI agents to complete complex tasks. You might be interested in a new introductory video created by Microsoft and presentation by Adam ...
Tech Xplore on MSN
Enabling small language models to solve complex reasoning tasks
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
Amazon Web Services Inc. announced today during AWS Summit New York that it’s expanding its fully managed artificial intelligence foundational model service Bedrock to include a variety of new models ...
It has long been understood that groups of cells can perform complex tasks, such as navigating mazes or strategically colonizing new habitats, even though individual biological cells have only limited ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source ...
In today’s electronics world, large 32-bit microcontrollers (MCUs) and microprocessors (MPUs) running an RTOS are increasingly common. However, a single large microcontroller handling a complex ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results