I traced a single credit-scoring algorithm from a Singapore startup to loan denials in Lagos and job rejections in São Paulo, ...

Amazon Web Services just launched a new AI-powered vertical video tool to help Hollywood studios compete with other social media platforms.

Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, ...

ABSTRACT: A new conceptual framework is presented that unifies Gödel’s incompleteness theorems with practical physical modeling through information-theoretic analysis. The method of variables with ...

Abstract: This article introduces a scalable distributed probabilistic inference algorithm for intelligent sensor networks, tackling challenges of continuous variables, intractable posteriors, and ...

Abstract: Large language models (LLMs) are currently at the forefront of the machine learning field, showing broad application prospects but at the same time presenting certain risks of privacy ...

What’s happened? Instagram is testing a new feature that gives users more control over the type of content they see on the platform. Why is this important? Instagram’s algorithm plays a major role in ...

In their study, Diana et al. introduce a novel method for spike inference from calcium imaging data using a Monte Carlo-based approach, emphasizing the quantification of uncertainties in spike time ...