A technical paper titled “Analog Foundation Models” was published by IBM Research– Zurich, ETH Zurich, IBM Research-Almaden, and IBM TJ Watson Research Center. Find the technical paper here. published ...

NVIDIA achieves a 4x faster inference in solving complex math problems using NeMo-Skills, TensorRT-LLM, and ReDrafter, optimizing large language models for efficient scaling. NVIDIA has unveiled a ...

Every time you prompt an LLM, it doesn’t generate a complete answer all at once — it builds the response one word (or token) at a time. At each step, the model predicts the probability of what the ...

An EDN Design Idea (DI) presented a discussion of how to increase the resolution of an ADC by adding a non-deterministic, zero-mean, Gaussian noise dither waveform to a signal to be converted; then, ...

NVIDIA's Jetson AGX Thor achieves a 7x performance increase in generative AI, optimizing edge computing through continuous software advancements and support for cutting-edge AI models. NVIDIA has ...

IBM researchers, together with ETH Zürich, have unveiled a new class of Analog Foundation Models (AFMs) designed to bridge the gap between large language models (LLMs) and Analog In-Memory Computing ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

Thanks for your excellent work. I have read the paper and have some questions. As shown in the figure and discussion above, the paper mentions that activations are not quantized during the decoding ...