LightSeek Foundation Releases TokenSpeed, an Open-Source LLM Inference Engine Targeting TensorRT-LLM-Level Performance for Agentic Workloads
Inference efficiency has quietly become one of the most consequential bottlenecks in AI deployment. As agentic coding systems such as Claude Code, Codex, and Cursor scale from developer tools to infrastructure powering software development at large, the underlying inference engines serving those req...
Powering the Next American Century: US Energy Secretary Chris Wright and NVIDIA’s Ian Buck on the Genesis Mission
AI will help build the energy it needs. That’s the case U.S. Energy Secretary Chris Wright and NVIDIA Vice President of Hyperscale and High-Performance Computing Ian Buck made Thursday morning at the SCSP AI+ Expo. The 30-minute fireside chat, moderated by SCSP president Ylli Bajraktari, was called ...
Startup Battlefield 200 applications close May 27: A shot at VC access, global visibility, TechCrunch coverage, and $100K
Startup Battlefield 200 applications are open, but only for three more weeks. Apply by May 27 for your shot at VC access, global visibility, TechCrunch coverage, $100K equity-free, and more opportunities for major scaling impact. Pre-Series A founders — and anyone who knows a startup worth backing —...
Feature Engineering with LLMs: Techniques & Python Examples
Feature engineering is the foundation of strong machine learning systems, but the traditional process is often manual, time-consuming, and dependent on domain expertise. While effective, it can miss deeper signals hidden in unstructured data such as text, logs, and user interactions. Large Language ...
How Major Reasoning Models Converge to the Same “Brain” as They Model Reality Increasingly Better
Because there's only one reality to model!
The post How Major Reasoning Models Converge to the Same “Brain” as They Model Reality Increasingly Better appeared first on Towards Data Science.
I Rewrote a Real Data Workflow in Polars. Pandas Didn’t Stand a Chance.
From 61 seconds to 0.20 seconds — and the mental model shift I didn't expect
The post I Rewrote a Real Data Workflow in Polars. Pandas Didn’t Stand a Chance. appeared first on Towards Data Science.
Parloa builds service agents customers want to talk to
Parloa leverages OpenAI models to power scalable, voice-driven AI customer service agents, enabling enterprises to design, simulate, and deploy reliable, real-time interactions.
Advancing voice intelligence with new models in the API
Explore new realtime voice models in the OpenAI API that can reason, translate, and transcribe speech, enabling more natural and intelligent voice experiences.
Meta AI Releases NeuralBench: A Unified Open-Source Framework to Benchmark NeuroAI Models Across 36 EEG Tasks and 94 Datasets
Meta AI team has released NeuralBench, a unified open-source framework for benchmarking NeuroAI models, alongside NeuralBench-EEG v1.0 — the largest open EEG benchmark to date, covering 36 tasks, 94 datasets, and 14 deep learning architectures evaluated under a single standardized interface across 9...
Zyphra Releases ZAYA1-8B: A Reasoning MoE Trained on AMD Hardware That Punches Far Above Its Weight Class
Zyphra releases ZAYA1-8B, a reasoning Mixture of Experts model with only 760M active parameters that outperforms open-weight models many times its size on math and coding benchmarks — closing in on DeepSeek-V3.2 and surpassing Claude 4.5 Sonnet on HMMT'25 with its novel Markovian RSA test-time compu...
Endogenous Regime Switching Driven by Scalar-Irreducible Learning Dynamics
arXiv:2605.04054v1 Announce Type: new
Abstract: Achieving endogenous regime switching is crucial for the emergence of autonomous intelligence, yet remains a central challenge for existing machine learning frameworks, where such transitions are typically externally imposed. In this work, we introduc...
Transformation Categorization Based on Group Decomposition Theory Using Parameter Division
arXiv:2605.04056v1 Announce Type: new
Abstract: Representation learning seeks meaningful sensory representations without supervision and can model aspects of human development. Although many neural networks empirically learn useful features, a principled account of what makes a representation "good...
Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search
arXiv:2605.04057v1 Announce Type: new
Abstract: This paper focuses on a key challenge in Neural Architecture Search (NAS): integrating established architectural knowledge while exploring new designs under expensive evaluations. Large language models (LLMs) are a promising assistant for NAS because ...
MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning
arXiv:2605.04058v1 Announce Type: new
Abstract: Parameter-efficient transfer learning (PETL) has emerged as a pivotal paradigm for adapting pre-trained foundation models to downstream tasks, significantly reducing trainable parameters yet suffering from substantial memory overhead caused by gradien...
arXiv:2605.04050v1 Announce Type: new
Abstract: We introduce Lossless Context Management (LCM), a deterministic architecture for LLM memory that outperforms Claude Code on long-context tasks. When benchmarked using Opus 4.6, our LCM-augmented coding agent, Volt, achieves higher scores than Claude C...
Actionable Real-Time Modeling of Surgical Team Dynamics via Time-Expanded Interaction Graphs
arXiv:2605.04169v1 Announce Type: new
Abstract: Surgical team performance arises from complex interactions between technical execution and non-technical skills, including communication and coordination dynamics. However, current surgical AI systems predominantly model visual workflow signals, lacki...
Pro$^2$Assist: Continuous Step-Aware Proactive Assistance with Multimodal Egocentric Perception for Long-Horizon Procedural Tasks
arXiv:2605.04227v1 Announce Type: new
Abstract: Procedural tasks with multiple ordered steps are ubiquitous in daily life. Recent advances in multimodal large language models (MLLMs) have enabled personal assistants that support daily activities. However, existing systems primarily provide reactive...