Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
Objectives To date, consistent evidence for consequences of heading in football (soccer) on the structure and function of the ...
One such event occurred in December 2024, making it worthy of a ranking for 2025. The hackers behind the campaign pocketed as ...
This study found that certain characteristics in linked electronic health record data across episodes of care can help identify patients with Alzheimer disease and related dementias at high risk of 30 ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
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), ...
Microsoft has launched a public preview of a managed long-term memory store for its Foundry Agent Service. The service ...
Brace yourself for the latest update to the memory supply crisis. And it's not good news. Not at all. Samsung and SK Hynix, who together are responsible for 70% of the DRAM market, have signalled ...
A new study reveals that the human brain processes spoken language in a sequence that closely mirrors the layered architecture of advanced AI language models. Using electrocorticography data from ...
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.
Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
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