2+ hour, 26+ min ago  (1044+ words) Why 3B to 30B models are moving to the edge " and what that means for silicon. This isn't a passing trend. It's an architectural inflection point driven by latency requirements, privacy mandates, cost pressures, and user experience demands that cloud inference simply…...

1+ day, 2+ hour ago  (610+ words) Machine learning enables a transformative leap in the modeling of atomic interactions. By Anders Blom and Igor Markov "Force fields" have long captured our imagination " the invisible shields of science-fiction lore that protect starships and superheroes from harm. But in…...

2+ day, 2+ hour ago  (551+ words) Agentic disruption; data center PUE; scaling AI; RTOS; dropping toast. Synopsys" Raja Tabet anticipates deployment of an agentic AI workforce within the next 12 to 24 months that can take on different engineering personas, such as a digital implementation agent, a verification…...

5+ day, 2+ hour ago  (339+ words) RPTU University of Kaiserslautern-Landau researchers published "From RTL to Prompt Coding: Empowering the Next Generation of Chip Designers through LLMs." Abstract "This paper presents an LLM-based learning platform for chip design education, aiming to make chip design accessible to beginners…...

1+ week, 2+ hour ago  (406+ words) In verification, speed without provable correctness is not progress. At a recent VLSI-D panel, industry leaders explored one of the most pressing topics in silicon design today " the intersection of AI-powered EDA, which is revolutionizing chip design for tomorrow. Ashish…...

1+ week, 1+ day ago  (563+ words) NUMA-aware optimizations can deliver up to 55% faster text generation. This blog post explains the cross-NUMA memory access issue that occurs when you run llama.cpp in Neoverse. It also introduces a proof-of-concept patch that addresses this issue and can provide…...

2+ week, 1+ day ago  (290+ words) New applications drive a growing preference for energy efficiency and throughput over strict precision. This is where floating-point arithmetic comes in, a technique that now sits at the heart of modern computing and underpins everything from scientific data to machine…...

2+ week, 1+ day ago  (317+ words) Processing temporal sensor data at the source in real time. For decades, the data collection pipeline for sensors has been the exact same'measure, transmit, and process elsewhere. While it's been a failproof method all these years, it's also resulted in…...

2+ week, 2+ day ago  (391+ words) Siemens" Tova Levy examines thermal management in 3D-IC, including why heat behaves differently in vertical stacks and how to analyze and manage thermal risk earlier and more predictably to ensure a design can meet performance, reliability, and time-to-market targets. Synopsys…...

2+ week, 3+ day ago  (132+ words) University of Cambridge researchers published "Machine Learning for Energy-Performance-aware Scheduling." Abstract "In the post-Dennard era, optimizing embedded systems requires navigating complex trade-offs between energy efficiency and latency. Traditional heuristic tuning is often inefficient in such high-dimensional, non-smooth landscapes. In this…...