As e-commerce platforms generate ever-longer streams of user-behavior data, machine-learning methods are increasingly examined for their ability to model how customer interests form and shift over ...

More than a decade after Alice Corp. v. CLS Bank Int’l, the two-step framework for patent eligibility under 35 U.S.C. § 101 remains as contentious ...

To improve memory, Nelson Dellis says to stop outsourcing so much to devices and practice active recall, attention, and imagination instead.

Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

An emerging notion that astrocytes directly participate in behavior, cognition, and brain computation by actively shaping ...

This raises the possibility that theta oscillations do not have a role in retrieval, and are instead involved in encoding-related events that support memory updating, contextual integration and ...

For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of information, ranging from knowledge or facts to the recollection of ...

A.I. companies are buying up memory chips, causing the prices of those components — which are also used in laptops and smartphones — to soar. Falcon Northwest, which specializes in assembling ...

State dependent memory (SDM) occurs when memory retrieval varies with the individual's psychological and physiological state at encoding and recall. Growing evidence shows that internal states shape ...