Power grid and other critical utilities to benefit from authID’s biometric platform authID (Nasdaq: AUID), authID, a leader in biometric identity, today announced the availability of its biometric security solution aligned with the Personal Identity Verification (PIV) security framework for energy i...
Tavus Launches Raven-1 for Multimodal Conversational AI
Tavus, the human computing company building lifelike AI humans that can see, hear, and respond in real time, launched Raven-1 into GA today, a multimodal perception system that enables AI to understand emotion, intent, and context the way humans do. Raven-1 captures and interprets audio and visual s...
VISIE Achieves Commercial Milestone With Launch of Partner APIs
Enabling rapid, robot-agnostic integration of VISIE’s spatial computing platform VISIE Inc. today announced the availability of its partner application programming interfaces (APIs), marking a significant milestone in the company’s commercial and integration readiness. The APIs enable surgical robot...
Didero Raises $30M Series A to Bring AI Agents to Global Supply Chains
New capital will accelerate deployment of AI agents that autonomously execute procurement work for global manufacturers and distributors Didero, a New York–based software company using AI agents to automate enterprise procurement, today announced a $30 million Series A financing round co-led by Che...
Form.io Names Jeff Hadfield as Director of Business Development
Form.io, the leading enterprise platform for API-first forms and data management, has announced the appointment of Jeff Hadfield as Director of Business Development. In this role, Hadfield will lead growth initiatives, expand partner relationships, and drive new enterprise opportunities as Form.io c...
Ambience Healthcare Expands “Chart Awareness” Across Intelligence Platform
Ambience Healthcare, the leading AI platform for clinical documentation and revenue integrity, today announced expanded “chart awareness” across its capabilities. Chart awareness enables AI to interpret a patient’s full longitudinal record, including prior notes, diagnoses, labs, imaging, medication...
Virtuals Protocol Debuts Revenue Network for AI Commerce
The First Revenue Network Where Autonomous AI Agents Negotiate, Execute, and Earn — While Human Users Capture Ongoing Revenue Consensus Hong Kong — Virtuals Protocol, which powers the world’s largest AI agent economy with over 18,000 agents, today announced the launch of Virtuals Revenue Network, a...
Google DeepMind Proposes New Framework for Intelligent AI Delegation to Secure the Emerging Agentic Web for Future Economies
The AI industry is currently obsessed with ‘agents’—autonomous programs that do more than just chat. However, most current multi-agent systems rely on brittle, hard-coded heuristics that fail when the environment changes. Google DeepMind researchers have proposed a new solution. The research team ar...
A Coding Implementation to Design a Stateful Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation
In this tutorial, we build a fully stateful personal tutor agent that moves beyond short-lived chat interactions and learns continuously over time. We design the system to persist user preferences, track weak learning areas, and selectively recall only relevant past context when responding. By combi...
OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization
arXiv:2602.12305v1 Announce Type: new
Abstract: Generating high-performance CUDA kernels remains challenging due to the need to navigate a combinatorial space of low-level transformations under noisy and expensive hardware feedback. Although large language models can synthesize functionally correct...
Abstractive Red-Teaming of Language Model Character
arXiv:2602.12318v1 Announce Type: new
Abstract: We want language model assistants to conform to a character specification, which asserts how the model should act across diverse user interactions. While models typically follow these character specifications, they can occasionally violate them in lar...
The Appeal and Reality of Recycling LoRAs with Adaptive Merging
arXiv:2602.12323v1 Announce Type: new
Abstract: The widespread availability of fine-tuned LoRA modules for open pre-trained models has led to an interest in methods that can adaptively merge LoRAs to improve performance. These methods typically include some way of selecting LoRAs from a pool and tu...
Intrinsic Credit Assignment for Long Horizon Interaction
arXiv:2602.12342v1 Announce Type: new
Abstract: How can we train agents to navigate uncertainty over long horizons? In this work, we propose {\Delta}Belief-RL, which leverages a language model's own intrinsic beliefs to reward intermediate progress. Our method utilizes the change in the probability...
GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
arXiv:2602.12316v1 Announce Type: new
Abstract: Frontier AI systems are increasingly capable and deployed in high-stakes multi-agent environments. However, existing AI safety benchmarks largely evaluate single agents, leaving multi-agent risks such as coordination failure and conflict poorly unders...
A Theoretical Framework for Adaptive Utility-Weighted Benchmarking
arXiv:2602.12356v1 Announce Type: new
Abstract: Benchmarking has long served as a foundational practice in machine learning and, increasingly, in modern AI systems such as large language models, where shared tasks, metrics, and leaderboards offer a common basis for measuring progress and comparing ...
Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph Forecasting
arXiv:2602.12389v1 Announce Type: new
Abstract: Temporal knowledge graph (TKG) forecasting requires predicting future facts by jointly modeling structural dependencies within each snapshot and temporal evolution across snapshots. However, most existing methods are stateless: they recompute entity r...
Intent-Driven Smart Manufacturing Integrating Knowledge Graphs and Large Language Models
arXiv:2602.12419v1 Announce Type: new
Abstract: The increasing complexity of smart manufacturing environments demands interfaces that can translate high-level human intents into machine-executable actions. This paper presents a unified framework that integrates instruction-tuned Large Language Mode...
Scaling Web Agent Training through Automatic Data Generation and Fine-grained Evaluation
arXiv:2602.12544v1 Announce Type: new
Abstract: We present a scalable pipeline for automatically generating high-quality training data for web agents. In particular, a major challenge in identifying high-quality training instances is trajectory evaluation - quantifying how much progress was made to...
Asynchronous Verified Semantic Caching for Tiered LLM Architectures
Large language models (LLMs) now sit in the critical path of search, assistance, and agentic workflows, making semantic caching essential for reducing inference cost and latency. Production deployments typically use a tiered static-dynamic design: a static cache of curated, offline vetted responses ...