eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
techtimes

Anthropic Hires Berkeley CS Chair Jelani Nelson, Signaling New Phase of AI Race

On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

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

Wind Power Prediction Based on Multi-class Autoregressive Moving Average Model with Logistic Function

Abstract: The seasonality and randomness of wind present a significant challenge to the operation of modern power systems with high penetration of wind generation. An effective short-term wind power ...
ZNetwork

Against Algorithms of Exploitation: Toward an Artificial Intelligence for the Masses in the Struggle Over the Future of Technology and Who Directs It

Introduction Never before in human history has a small minority wielded this degree of control over the lives of the majority with such speed and such ...
IEEE

Multilabel Feature Selection: A Local Causal Structure Learning Approach

Abstract: Multilabel feature selection plays an essential role in high-dimensional multilabel learning tasks. Existing multilabel feature selection approaches mainly either explore the feature–label ...