Microsoft

LLM can Read Spectrogram: Encoder-free Speech-Language Modeling

Recent speech-aware large language models (Speech-LLMs) rely on a pre-trained speech encoder to convert audio into semantic-rich representations consumable by LLM. In this work, instead, we explore: ...
AOL

Tensordyne Claims Massive Speed and Power Improvement Over Nvidia

If simulations are to be believed, startup Tensordyne's new AI chip could crush the performance of market leader Nvidia in terms of energy efficiency and latency for inferencing. The company just sent ...
VentureBeat

Context compression finally works in production: new research cuts LLM input 16x without the accuracy hit

Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and conversation history, and the more memory ...
gematsu

Jurassic World Evolution 3 DLC ‘Rebirth Expansion’ announced

A new era is born in the action-packed Jurassic World Evolution 3: Rebirth Expansion. Delve into a game expanding narrative inspired by the dramatic events of Jurassic World Rebirth. Take control of ...
VentureBeat

Google's new open source Gemma 4 12B analyzes audio, video — and runs entirely locally on a typical 16GB enterprise laptop

Credit: VentureBeat made with OpenAI ChatGPT-Images-2.0 While many AI open source model providers are pursuing larger and more powerful models, Google is still giving attention to the smaller, more ...
IEEE

Towards Effective and Efficient Non-Autoregressive Decoders for Conformer and LLM-Based ASR Using Block-Based Attention Mask

Abstract: Automatic speech recognition (ASR) systems often rely on autoregressive (AR) Transformer decoder architectures, which limit efficient inference parallelization due to their sequential nature ...
Geeky Gadgets

Why Prompt Caching is the Secret to Slashing Your AI Costs By 90%

Prompt caching has become a vital strategy for managing the rising costs of large language model (LLM) operations. By reusing previously computed data, this approach minimizes redundant computations, ...
Scientific American

A third of Americans say they’ve asked AI to decode their medical results

When Judith Miller received the results of a medical imaging study last year, the 77-year-old Wisconsin resident did what many patients nowadays do: she asked AI to explain them. Claude, a large ...
Forbes

Making Sense Of What’s Really Going On Inside AI By Using Newly Devised Natural Language Autoencoders

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. This voice experience is generated by AI. Learn more. This ...
Hackaday

An LLM From “Scratch”

Reading a book about bowling is not the same as actually bowling. If that resonates with you and you want to learn more about large language models, check out the LLM From Scratch project. The ...
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 ...