Deepen AI Brings Safety-First AV Data Infrastructure to CES 2026
CES demos include targetless calibration and an exclusive preview of Deepen AI’s Vision-Language-Action framework Deepen AI, a leading full-stack data lifecycle platform for autonomous vehicles (AV) and robotics, today announced it will showcase new platform advancements at CES 2026 designed to help...
ShrimpXNet: A Transfer Learning Framework for Shrimp Disease Classification with Augmented Regularization, Adversarial Training, and Explainable AI
arXiv:2601.00832v1 Announce Type: new
Abstract: Shrimp is one of the most widely consumed aquatic species globally, valued for both its nutritional content and economic importance. Shrimp farming represents a significant source of income in many regions; however, like other forms of aquaculture, it...
Intrinsic-Metric Physics-Informed Neural Networks (IM-PINN) for Reaction-Diffusion Dynamics on Complex Riemannian Manifolds
arXiv:2601.00834v1 Announce Type: new
Abstract: Simulating nonlinear reaction-diffusion dynamics on complex, non-Euclidean manifolds remains a fundamental challenge in computational morphogenesis, constrained by high-fidelity mesh generation costs and symplectic drift in discrete time-stepping sche...
Agentic AI for Autonomous, Explainable, and Real-Time Credit Risk Decision-Making
arXiv:2601.00818v1 Announce Type: new
Abstract: Significant digitalization of financial services in a short period of time has led to an urgent demand to have autonomous, transparent and real-time credit risk decision making systems. The traditional machine learning models are effective in pattern ...
CogCanvas: Compression-Resistant Cognitive Artifacts for Long LLM Conversations
arXiv:2601.00821v1 Announce Type: new
Abstract: Large language models face a fundamental tension between context window limits and information fidelity in long conversations. Existing approaches--truncation and summarization--either discard early information or lose nuanced details. We introduce Co...
arXiv:2601.00823v1 Announce Type: new
Abstract: Large reasoning models (LRMs) have heterogeneous inference energy costs based on which model is used and how much it reasons. To reduce energy, it is important to choose the right LRM and operate it in the right way. As a result, the performance of sy...
Improving User Interface Generation Models from Designer Feedback
Despite being trained on vast amounts of data, most LLMs are unable to reliably generate well-designed UIs. Designer feedback is essential to improving performance on UI generation; however, we find that existing RLHF methods based on ratings or rankings are not well-aligned with designers’ workflow...
NarrativeTrack: Evaluating Video Language Models Beyond the Frame
Multimodal large language models (MLLMs) have achieved impressive progress in vision-language reasoning, yet their ability to understand temporally unfolding narratives in videos remains underexplored. True narrative understanding requires grounding who is doing what, when, and where, maintaining co...
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...