A Korean research team has developed a technology that enables the stable stacking of more than 10 ultrathin semiconductor ...

The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...

Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...

Every morning, millions of Americans engage in a quiet, collective ritual. We wake up, often pull a smartphone from our ...

Stack is a large-scale encoder-decoder foundation model trained on 150 million uniformly-preprocessed single cells. It introduces a novel tabular attention architecture that enables both intra- and ...

Riders in Miami can now hail a fully autonomous Waymo robotaxi without a waitlist, marking the company’s first expansion into ...

Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...

TL;DR Agentic lead generation structures replace legacy scraping workflows with automated intent-tracking and continuous ...

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 ...

Overview: AI marketing software helps startups automate content, CRM, SEO, design, and customer engagement, enabling lean teams to compete without expanding hea ...

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

I’ve spent years analyzing social media growth services across dozens of platforms, and YouTube remains the one where the cold-start problem hits creators hardest. You publish a great video, and it ...