Nvidia wants to be the Android of generalist robotics
Nvidia unveiled a full-stack robotics ecosystem at CES 2026, including foundation models, simulation tools, and hardware. It wants to be the default platform for robotics.
Nvidia launches Alpamayo, open AI models that allow autonomous vehicles to ‘think like a human’
Nvidia unveiled Alpamayo at CES 2026, which includes a reasoning vision language action model that allows an autonomous vehicle to think more like a human and provide chain-of-thought reasoning.
Quantum&Inspired Algorithms: The Quiet Revolution Already Reshaping Cloud Architecture
A deep dive into how quantum inspired algorithms are transforming cloud architecture today — improving optimization, scaling, routing, and AI performance long before true quantum hardware becomes mainstream.
Context Engineering Explained in 3 Levels of Difficulty
Long-running LLM applications degrade when context is unmanaged. Context engineering turns the context window into a deliberate, optimized resource. Learn more in this article.
Amazon’s AI assistant comes to the web with Alexa.com
Amazon is bringing Alexa+ to the web with a new Alexa.com site, expanding its AI assistant beyond devices and positioning it as a family-focused, agent-style chatbot.
The Global AI Race: Contrasting US and China's Divergent Paths in AI, IoT, and Robotics
Explore the contrasting philosophies driving the global AI race. An in-depth analysis of the US 'Innovation Ecosystem' vs. China’s 'Strategic National Project,' comparing their divergent paths in foundation models, IoT, industrial robotics, and AI ethics.
Stop Blaming the Data: A Better Way to Handle Covariance Shift
Instead of using shift as an excuse for poor performance, use Inverse Probability Weighting to estimate how your model should perform in the new environment
The post Stop Blaming the Data: A Better Way to Handle Covariance Shift appeared first on Towards Data Science.
MCPs for Developers Who Think They Don’t Need MCPs
The following article originally appeared on Block’s blog and is being republished here with the author’s permission. Lately, I’ve seen more developers online starting to side eye MCP. There was a tweet by Darren Shepherd that summed it up well: Most devs were introduced to MCP through coding agents...
Atropos Health Appoints Kevin Smith to Chief Growth Officer
Atropos Health, the pioneer in translating real-world clinical data into personalized real-world evidence (RWE), today announced the appointment of Kevin Smith to Chief Growth Officer, effective immediately. Previously serving as a key leader within the company’s commercial organization, Smith will ...
UK startup combines client-side privacy technology with unified access to six AI providers, 20+ models, and patent-pending innovations XEROTECH LTD today launched CallGPT 6X, a productivity-focused AI platform that processes sensitive data within the user’s browser before any information reaches AI ...
The creator of Claude Code just revealed his workflow, and developers are losing their minds
When the creator of the world's most advanced coding agent speaks, Silicon Valley doesn't just listen — it takes notes.For the past week, the engineering community has been dissecting a thread on X from Boris Cherny, the creator and head of Claude Code at Anthropic. What began as a casual sharing of...
UniX AI to Bring Delivered Full-Size Humanoid Robot Wanda 2.0 to CES 2026
A strategic move toward global markets and large-scale commercial deployment UniX AI, a global humanoid robot service provider specializing in R&D, mass production, and real-world deployment of of general-purpose humanoid robots, will showcase its brand-new Wanda 2.0 and Wanda 3.0 at CES (Booth No. ...
LLM-Pruning Collection: A JAX Based Repo For Structured And Unstructured LLM Compression
Zlab Princeton researchers have released LLM-Pruning Collection, a JAX based repository that consolidates major pruning algorithms for large language models into a single, reproducible framework. It targets one concrete goal, make it easy to compare block level, layer level and weight level pruning ...
Tencent Researchers Release Tencent HY-MT1.5: A New Translation Models Featuring 1.8B and 7B Models Designed for Seamless on-Device and Cloud Deployment
Tencent Hunyuan researchers have released HY-MT1.5, a multilingual machine translation family that targets both mobile devices and cloud systems with the same training recipe and metrics. HY-MT1.5 consists of 2 translation models, HY-MT1.5-1.8B and HY-MT1.5-7B, supports mutual translation across 33 ...
The Trojan in the Vocabulary: Stealthy Sabotage of LLM Composition
arXiv:2601.00065v1 Announce Type: new
Abstract: The open-weight LLM ecosystem is increasingly defined by model composition techniques (such as weight merging, speculative decoding, and vocabulary expansion) that remix capabilities from diverse sources. A critical prerequisite for applying these met...
arXiv:2601.00084v1 Announce Type: new
Abstract: In fixed-confidence best arm identification (BAI), the objective is to quickly identify the optimal option while controlling the probability of error below a desired threshold. Despite the plethora of BAI algorithms, existing methods typically fall sh...
Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models
arXiv:2601.00003v1 Announce Type: new
Abstract: Large language models (LLMs) typically enhance their performance through either the retrieval of semantically similar information or the improvement of their reasoning capabilities. However, a significant challenge remains in effectively integrating b...
arXiv:2601.00021v1 Announce Type: new
Abstract: We present a physical theory of intelligence grounded in irreversible information processing in systems constrained by conservation laws. An intelligent system is modelled as a coupled agent-environment process whose evolution transforms information i...