Apple published a research paper on Saturday, where researchers examine the strengths and weaknesses of recently released reasoning models. Also known as large reasoning models (LRMs), these are the ...

Like people undergoing cognitive migration, institutions must reassess what they were made for in this age of AI.

Palantir's DoD contracts, strong Q1 2025 growth, and competitive edge in AI-driven platforms make it a standout growth ...

Kunkler from Lobster discusses how data scientists must adopt the mindset of a behavioral one when developing agentic AI.

AI that mishandles your money could affect your ability to pay rent. One that learns to manipulate your spending patterns ...

Yet in a crude analogy, the same general sort of thing is plausible in the digital world of encrypted data. Computer scientists are advancing the technology of “fully homomorphic encryption,” which ...

Social media algorithms often seem mysterious, but experts are shedding light on common misconceptions. This article debunks ...

Abstract: Complex gradient methods have been widely used in learning theory, and typically aim to optimize real-valued functions of complex variables. The stepsize of complex gradient learning methods ...

Abstract: This paper presents a dynamic partially connected (DPC) structure-based convolutional neural network (CNN) hybrid precoding with multi-user optimization algorithm. In the proposed algorithm, ...