zetabyte

​[[{“value”:” A significant development is set to transform AI in healthcare. Researchers at Stanford University, in collaboration with ETH Zurich and tech leaders including Google Research and Amazon, have introduced OpenTSLM, a novel family of Time-Series Language Models (TSLMs). This breakthrough addresses a critical limitation… Read More »Meet OpenTSLM: A Family of Time-Series Language Models (TSLMs) Revolutionizing Medical Time-Series Analysis Jean-marc Mommessin Artificial Intelligence Category – MarkTechPost

​[[{“value”:” How much capability can a sparse 8.3B-parameter MoE with a ~1.5B active path deliver on your phone without blowing latency or memory? Liquid AI has released LFM2-8B-A1B, a small-scale Mixture-of-Experts (MoE) model built for on-device execution under tight memory, latency, and energy budgets. Unlike… Read More »Liquid AI Releases LFM2-8B-A1B: An On-Device Mixture-of-Experts with 8.3B Params and a 1.5B Active Params per Token Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” TL;DR: A team of researchers from Stanford University, SambaNova Systems and UC Berkeley introduce ACE framework that improves LLM performance by editing and growing the input context instead of updating model weights. Context is treated as a living “playbook” maintained by three roles—Generator, Reflector,… Read More »Agentic Context Engineering (ACE): Self-Improving LLMs via Evolving Contexts, Not Fine-Tuning Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A common misconception about O’Reilly is that we cater only to the deeply technical learner. While we’re proud of our deep roots in the tech community, the breadth of our offerings, both in books and on our learning platform, has always aimed to reach… Read More »Everyday AI Agents David Michelson AI & ML – Radar

​Agentic artificial intelligence (AI) represents the most significant shift in machine learning since deep learning transformed the field. Agentic artificial intelligence (AI) represents the most significant shift in machine learning since deep learning transformed the field.  Read More  

​[[{“value”:” TL;DR: Skala is a deep-learning exchange–correlation functional for Kohn–Sham Density Functional Theory (DFT) that targets hybrid-level accuracy at semi-local cost, reporting MAE ≈ 1.06 kcal/mol on W4-17 (0.85 on the single-reference subset) and WTMAD-2 ≈ 3.89 kcal/mol on GMTKN55; evaluations use a fixed D3(BJ)… Read More »Microsoft Research Releases Skala: a Deep-Learning Exchange–Correlation Functional Targeting Hybrid-Level Accuracy at Semi-Local Cost Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post was written with Dominic Catalano from Anyscale. Organizations building and deploying large-scale AI models often face critical infrastructure challenges that can directly impact their bottom line: unstable training clusters that fail mid-job, inefficient resource utilization driving up costs, and complex distributed computing… Read More »Use Amazon SageMaker HyperPod and Anyscale for next-generation distributed computing Sindhura Palakodety Artificial Intelligence

​[[{“value”:” Consider a growing social media platform that processes millions of user posts daily. Their content moderation team faces a familiar challenge: their rule-based system flags a cooking video discussing “knife techniques” as violent content, frustrating users, while simultaneously missing a veiled threat disguised as… Read More »Customizing text content moderation with Amazon Nova Yooju Shin Artificial Intelligence

​[[{“value”:” Can an iterative draft–revise solver that repeatedly updates a latent scratchpad outperform far larger autoregressive LLMs on ARC-AGI? Samsung SAIT (Montreal) has released Tiny Recursive Model (TRM)—a two-layer, ~7M-parameter recursive reasoner that reports 44.6–45% test accuracy on ARC-AGI-1 and 7.8–8% on ARC-AGI-2, surpassing results… Read More »Tiny Recursive Model (TRM): A Tiny 7M Model that Surpass DeepSeek-R1, Gemini 2.5 pro, and o3-mini at Reasoning on both ARG-AGI 1 and ARC-AGI 2 Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This article originally appeared on Medium. Tim O’Brien has given us permission to repost here on Radar. When you’re working with AI tools like Cursor or GitHub Copilot, the real power isn’t just having access to different models—it’s knowing when to use them. Some… Read More »Control Codegen Spend Tim O’Brien AI & ML – Radar