Going beyond pilots with composable and sovereign AI
Today marks an inflection point for enterprise AI adoption. Despite billions invested in generative AI, only 5% of integrated pilots deliver measurable business value and nearly one in two companies abandons AI initiatives before reaching production. The bottleneck is not the models themselves. What...
How I Created an AI Comic Using Gemini 3 and NotebookLM
Gemini 3 and NotebookLM are two of my favorite tools from the Google suite. I use them often for learning, work, and even for breaking down complex ideas in a simple way. But this time, I wanted to do something purely fun. Lately, I’ve been seeing AI-generated comics all over social media. From stor...
Monogoto Wins 2025 IoT Platforms Leadership Award from IoT Evolution World
Monogoto announced today that Monogoto Software-Defined Connectivity Platform has received a 2025 IoT Platforms Leadership Award from IoT Evolution World, the leading online publication covering IoT technologies. The IoT Platforms Leadership Awards honor solutions that provide the foundational techn...
Medius earns the Solutions Partner with certified software designation
This designation recognizes Medius for delivering software solutions built on the Microsoft Cloud that demonstrate interoperability and meet program requirements. Medius, a Microsoft partner, today announced it has earned the Solutions Partner* with certified software** designation for Financial Se...
Nous Research Releases NousCoder-14B: A Competitive Olympiad Programming Model Post-Trained on Qwen3-14B via Reinforcement Learning
Nous Research has introduced NousCoder-14B, a competitive olympiad programming model that is post trained on Qwen3-14B using reinforcement learning (RL) with verifiable rewards. On the LiveCodeBench v6 benchmark, which covers problems from 08/01/2024 to 05/01/2025, the model reaches a Pass@1 accurac...
Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework
arXiv:2601.10779v1 Announce Type: new
Abstract: Transfer learning plays a vital role in improving model performance in data-scarce scenarios. However, naive uniform transfer from multiple source tasks may result in negative transfer, highlighting the need to properly balance the contributions of he...
Towards Tensor Network Models for Low-Latency Jet Tagging on FPGAs
arXiv:2601.10801v1 Announce Type: new
Abstract: We present a systematic study of Tensor Network (TN) models $\unicode{x2013}$ Matrix Product States (MPS) and Tree Tensor Networks (TTN) $\unicode{x2013}$ for real-time jet tagging in high-energy physics, with a focus on low-latency deployment on Fiel...
Digital Metabolism: Decoupling Logic from Facts via Regenerative Unlearning -- Towards a Pure Neural Logic Core
arXiv:2601.10810v1 Announce Type: new
Abstract: Large language models (LLMs) currently suffer from parameter entanglement, where general reasoning capabilities (logic) and specific factual knowledge (facts) exist in a superposition state within shared weights. This coupling leads to the "memory wal...
Towards Reliable ML Feature Engineering via Planning in Constrained-Topology of LLM Agents
arXiv:2601.10820v1 Announce Type: new
Abstract: Recent advances in code generation models have unlocked unprecedented opportunities for automating feature engineering, yet their adoption in real-world ML teams remains constrained by critical challenges: (i) the scarcity of datasets capturing the it...
Japanese AI Agent System on Human Papillomavirus Vaccination: System Design
arXiv:2601.10718v1 Announce Type: new
Abstract: Human papillomavirus (HPV) vaccine hesitancy poses significant public health challenges, particularly in Japan where proactive vaccination recommendations were suspended from 2013 to 2021. The resulting information gap is exacerbated by misinformation...
Do You Trust Me? Cognitive-Affective Signatures of Trustworthiness in Large Language Models
arXiv:2601.10719v1 Announce Type: new
Abstract: Perceived trustworthiness underpins how users navigate online information, yet it remains unclear whether large language models (LLMs),increasingly embedded in search, recommendation, and conversational systems, represent this construct in psychologic...
Building AI Agents to Improve Job Referral Requests to Strangers
arXiv:2601.10726v1 Announce Type: new
Abstract: This paper develops AI agents that help job seekers write effective requests for job referrals in a professional online community. The basic workflow consists of an improver agent that rewrites the referral request and an evaluator agent that measures...
ORBITFLOW: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfiguration
arXiv:2601.10729v1 Announce Type: new
Abstract: Serving long-context LLMs is challenging because request lengths and batch composition vary during token generation, causing the memory footprint to fluctuate significantly at runtime. Offloading KV caches to host memory limits effective memory usage,...
CTHA: Constrained Temporal Hierarchical Architecture for Stable Multi-Agent LLM Systems
arXiv:2601.10738v1 Announce Type: new
Abstract: Recently, multi-time-scale agent architectures have extended the ubiquitous single-loop paradigm by introducing temporal hierarchies with distinct cognitive layers. While yielding substantial performance gains, this diversification fundamentally compr...
The Future We Choose: Building a Balanced Global Economy in the Age of AI and Robotics
A deep exploration of how artificial intelligence, open AI technologies, and robotics can reshape the global economy. This article outlines strategies for equitable growth, shared technological ownership, ethical governance, and human centered automation—offering a roadmap for maximizing human benef...
Just as you wouldn’t teach a child to ride a bike on a busy highway, AI agents need controlled environments to learn and improve. The environment shapes how an agent perceives the world, learns from experience, and makes decisions, whether it’s a self-driving car or a chatbot. Understanding these en...
Vercel Releases Agent Skills: A Package Manager For AI Coding Agents With 10 Years of React and Next.js Optimisation Rules
Vercel has released agent-skills, a collection of skills that turns best practice playbooks into reusable skills for AI coding agents. The project follows the Agent Skills specification and focuses first on React and Next.js performance, web design review, and claimable deployments on Vercel. Skills...
The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies
How to use n8n with multimodal AI and optimisation tools to help companies with low data maturity accelerate their digital transformation.
The post The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies appeared first on Towards Data Science.
NVIDIA Releases PersonaPlex-7B-v1: A Real-Time Speech-to-Speech Model Designed for Natural and Full-Duplex Conversations
NVIDIA Researchers released PersonaPlex-7B-v1, a full duplex speech to speech conversational model that targets natural voice interactions with precise persona control. From ASR→LLM→TTS to a single full duplex model Conventional voice assistants usually run a cascade. Automatic Speech Recognition (A...
Google AI Releases MedGemma&1.5: The Latest Update to their Open Medical AI Models for Developers
Google Research has expanded its Health AI Developer Foundations program (HAI-DEF) with the release of MedGemma-1.5. The model is released as open starting points for developers who want to build medical imaging, text and speech systems and then adapt them to local workflows and regulations. MedGemm...
In recent times, if you have been delving into the development of AI, then you may have come across the term ‘agent frameworks.’ Today, we are going to discuss one of them, the Strands Agents. This is a tool that is altering the way developers create intelligent systems. But if you are a beginner, y...
A Geometric Method to Spot Hallucinations Without an LLM Judge
Imagine a flock of birds in flight. There’s no leader. No central command. Each bird aligns with its neighbors—matching direction, adjusting speed, maintaining coherence through purely local coordination. The result is global order emerging from local consistency. Now imagine one bird flying with th...
Musk wants up to $134B in OpenAI lawsuit, despite $700B fortune
Musk's legal team argues he should be compensated as an early startup investor who sees returns "many orders of magnitude greater" than his initial investment.