Model internals encode rich information about how a large language model (LLM) processes its training data; however, post-training data engineering largely relies on external signals and ignores rich intrinsic signals lying in model internals. We propose SAERL, a data engineering framework for LLM reinforcement lear...
Discrete diffusion models have achieved strong empirical performance in text and other symbolic domains, but, especially for uniform-rate models, they often require many steps to generate a single sample. Existing acceleration methods either rely on training additional quantities or suffer from slow mixing. In this...
Recent generative models have largely closed the gap on low-level artifacts - pixel fingerprints, frequency anomalies, upsampling traces - particularly in person-centric and partial-edit settings where the manipulated region is small and surrounded by photometrically authentic content. We introduce Social Gaze Consi...
Diffusion models have emerged as powerful tools for high-quality image generation and editing, but guiding these models to produce specific outputs remains a challenge. Conventional approaches rely on conditioning mechanisms, such as text prompts or semantic maps, which require extensively annotated datasets. In thi...
ASP(Q) extends Answer Set Programming (ASP) with Quantifiers over answer sets. In this paper we focus on the class of ASP(Q) programs with two quantifiers and weak constraints, denoted as 2-ASP(Q)^w. 2-ASP(Q)^w is a practically relevant fragment of ASP(Q) that is expressive enough to capture optimization problems up...
Probabilistic smoothing is a standard tool for global optimization, but existing methods rely on Gaussian kernels and specific transforms, often resulting in strong hyperparameter sensitivity and limited robustness. We propose a general smoothing framework that combines flexible symmetric unimodal kernels with monot...
The widespread use of AI services has raised concerns for its environmental sustainability, towards which recent studies have identified carbon emissions of AI inference as the major contributor. This paper introduces a framework for designing AI inference incentives based on the users' valuation for inference quali...
We consider training classifiers for 3D medical images using only one binary label for the entire volume rather than a label for each 2D slice. In such weakly supervised settings, can we learn accurate classifiers for slice-level predictions? Attention-based multiple instance learning (MIL) can produce an attention...
CEVA, the leading licensor of wireless connectivity and smart sensing technologies, is advancing its full-stack wireless strategy with the introduction of next-generation Bluetooth High Data Throughput (HDT) capabilities and a major integrated RF subsystem design win. The announcement underscores CEVA’s growing role...
As semiconductor systems evolve toward heterogeneous integration, chiplets, 2.5D and 3D packaging, distributed observability, runtime adaptation, Fleet Learning, and lifecycle convergence governance, the industry is entering a fundamentally new operational reality. Convergence decisions are no longer driven only… Re...
Global Unichip Corp. (GUC), the Advanced ASIC Leader, will showcase Jotunn8, a next-generation data center AI inference processor developed by VSORA, at the TSMC Europe Technology Symposium. The post GUC Showcases VSORA’s Jotunn8 AI inference Processor at the TSMC Europe Technology Symposium appeared first on EE Tim...
Huawei's answer to Moore's Law without EUV promises 14A performance by 2031. The post From Shrinking Transistors to Compressing Time: Deciphering Huawei’s τ Law appeared first on EE Times .
The Singapore-based startup develops optical transceivers for the next generation of data center infrastructure. The post LightSpeed Photonics Targets AI Data Centers With 400-Gbps Near-Packaged Optical Interconnects appeared first on EE Times .
Misc Changes Replace next-ppr-optimizer with next-cache-components-optimizer: #94035 [Skills] next-dev-loop: persist login state across loops: #94105 Fix errors.json merge driver to handle gaps in error codes: #93829 Credits Huge thanks to @gaojude and @sokra for helping!
Flagship is now in public beta. Evaluate feature flags directly from Cloudflare Workers with no outbound HTTP calls, using globally distributed flag configuration backed by Workers KV and Durable Objects. Flagship supports typed flag values, targeting rules, percentage rollouts, audit history, and OpenFeature-compat...
Action Technology, an IC design company, provides core technological support for hundreds of millions of consumer audio devices worldwide. The post You May Not Know Actions Technology, But You’ve Definitely “Heard” It appeared first on EE Times .
However much you prototype and test your product designs, there will always be factors outside your direct control that have significant implications for the manufacturability, efficiency, reliability and expected lifespan of your final product. One of the most important of these is the quality of the PCBs you recei...
The power and thermal issues of placing data centers in space are formidable. The post Data Centers in Space: A Brilliant Idea or Delusional? appeared first on EE Times .
Misc Changes [ci] Add an TURBOTASKSAVAILABLEPARALLELISM environment variable that overrides std::thread::availableparallelism callsites: #93995 Make --debug-build-paths work with src/ directory projects: #94016 ci: run Linux Playwright jobs in prebuilt Microsoft container: #93794 Revert "Prerender HTTP access fallba...