Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

AI Agents are delivering real ROI — Here's what 1,100 developers and CTOs reveal about scaling them

In DigitalOcean’s 2026 Currents research report, 60% of respondents say applications and agents represent the greatest long-term value in the AI stack. Yet, only 10% are scaling agents in production.

7 Ways The Train Could Go Off The Track For Nvidia

Nvidia Corporation sits at the center of the AI trade, but “cheap” valuation signals may be a mirage amid bubble risks. Click ...

‘A.I. Literacy’ Is Trending in Schools. Here’s Why.

Artificial intelligence companies are urging teachers to prepare students for an “A.I.-driven future.” What that means varies ...

The Lesson of A.I. Literacy Class: Don’t Let the Chatbot Think for You

Teachers say they want to equip high school students to drive artificial intelligence, rather than be mere passengers steered by chatbots.
IEEE

HWEFIS: A Hybrid Weighted Evolving Fuzzy Inference System for Nonstationary Data Streams

Abstract: For the problem of concept drift of nonstationary data streams, most evolving fuzzy inference systems (EFISs) still encounter problems. First, a single EFIS has difficulty quickly adjusting ...
Psychology TodayOpinion

AI Can Help Solve the Reading Achievement Gap

The reading achievement gap affects us all through heavy special education spending and societal problems. AI can have a ...
IEEE

Spatiotemporal MUF Inference for HF Communications: A Personalized Federated Learning Framework

Abstract: High-frequency (HF) communications are vital in both military and commercial fields due to their ability to propagate across the horizon. Accurately predicting the maximum usable frequency ...