Tech Xplore

LLMs help robots understand vague instructions and focus on key details

Imagine working at a warehouse or office sometime in the near future, and you're asked to help a new trainee learn the basics ...

New research helps explain how human brains are able decode speech so quickly

Scientists are learning how the brain extracts discrete words from a continuous stream of sounds.

Axial encoding unlocks up to eightfold faster 3D microscopy with less light

A research team from HKU Engineering has pioneered a fundamentally new imaging strategy known as AIMED (Arbitrary illumination microscopy with encoded depth), which utilizes a sub-sampling approach.

MeMo's memory model lets teams upgrade their LLM without retraining it — and performance jumps 26%

Researchers' MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining it and see a 26% ...

Researchers automated LLM reasoning strategy design and cut token usage by 69.5%

Researchers from Meta and Google built AutoTTS to automatically discover optimal LLM reasoning strategies, cutting token ...
Edhat

Yuheng Bu seeks a better way to ensure the trustworthiness of AI-generated text

UC Santa Barbara’s Robert Mehrabian College of Engineering, Yuheng Bu, assistant professor in the Computer Science Department, has received a prestigious Early CAREER Award from the National Science F ...
Ars Technica

Google’s Gemma 4 AI models get 3x speed boost by predicting future tokens

Google launched its Gemma 4 open models this spring, promising a new level of power and performance for local AI. Google’s take on edge AI could be getting even faster already with the release of ...
IEEE

Low Bit-Width LLM Acceleration via Symmetric Lookup Format and Compute-in-Decoding Paradigm

Abstract: Recent large language models (LLMs), driven by the scaling law, have demonstrated remarkable performance in various machine learning tasks by significantly increasing model size. However, ...
Semiconductor Engineering

Microarchitecture Tailored to 3D-Stacked Near-Memory Processing LLM Decoding (U. of Edinburgh, Peking U., Cambridge et al.)

A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling Co-Design,” was published by researchers at University of Edinburgh, Peking ...
The New York Times

Decoding the A.I. Beliefs of Anthropic and Its C.E.O., Dario Amodei

The company is at odds with the Pentagon over how its A.I. will be used. The conflict has its roots in the foundational plan for Anthropic. By Cade Metz Reporting from San Francisco The Defense ...