Packet co-Founder and former Equinix edge executive brings deep expertise in AI-Era infrastructure, automation, and platform scale Wasabi Technologies, the hot cloud storage company, today announced the appointment of Zachary Smith to its Board of Directors. A respected innovator in digital infrastr...
You must have faced the never-ending wait of an AI model taking its time to answer your query. To put an end to this wait, the new Mercury 2 reasoning model of Inception Labs is now live. It works a bit differently from others. It employs diffusion to provide quality answers at nearly instant speed....
Symmetry’s new stand-alone product delivers unified visibility, governance, and security across external LLMs, enterprise copilots, internal AI services, and agentic AI identities. Symmetry Systems, the Data+AI security company, today launched Symmetry AIGuard, a standalone AI security and governanc...
Can LLM Embeddings Improve Time Series Forecasting? A Practical Feature Engineering Approach
Using large language models (LLMs) — or their outputs, for that matter — for all kinds of machine learning-driven tasks, including predictive ones that were already being solved long before language models emerged, has become something of a trend.
Hybrid Detection Engine™ detects previously unseen threats in real time and cuts costs compared to traditional sandboxing Varist today launched its Hybrid Detection Engine™, creating the first AI-scale malware detection solution that finds both known and zero-day threats instantly at scale. Built on...
Forescout and Netskope Form Partnership for Zero Trust Security
Joint solution eliminates security blind spots, automating risk mitigation and lateral movement containment for all managed and unmanaged assets, both on-premises and remote Forescout Technologies Inc., a global leader in cybersecurity, and Netskope (NASDAQ: NTSK), a leader in modern security and ne...
JumpCloud Joins OpenID to Secure the New World of AI Agents
JumpCloud Inc. today announced it has joined the OpenID Foundation (OIDF) as a Sustaining Corporate Member. This marks a definitive shift in the global identity landscape. JumpCloud is now at the industry’s top table with key identity authorities. This shows its shift from a disruptive directory pla...
NXXIM Takes Over Operational Management of Apollo Enterprise Imaging
Nexus Enterprise Imaging, LLC (NXXIM), headquartered in New York, NY, and backed by Geneva Private Equity (Geneva PE), today announced it has entered into a Master Service Agreement (MSA) with Apollo Enterprise Imaging, thereby assuming full operational control and management of Apollo’s business an...
Microsoft customers can now discover and deploy Octagos’ AI-enabled cardiac remote monitoring platform through Microsoft Marketplace, enabling streamlined procurement and faster access for healthcare providers Octagos, an AI-enabled cardiac remote monitoring company, today announced the availability...
New AI agent automates sourcing, benchmarking and negotiations while keeping teams in control. project44 introduced the AI Freight Procurement Agent to automate carrier selection, rate benchmarking and negotiations across modes. Built for procurement and transportation leaders, it reduces manual sou...
LevelBlue, Fortra Partner to Drive Cyber Innovation
Strategic Partnership Includes LevelBlue’s Acquisition of Fortra’s Alert Logic Managed Detection and Response Business, Strengthening LevelBlue’s Position as a Global MDR Leader LevelBlue, the world’s largest pure-play provider of managed security services, today announced a strategic partnership wi...
OpenAI and Amazon announce a strategic partnership bringing OpenAI’s Frontier platform to AWS, expanding AI infrastructure, custom models, and enterprise AI agents.
Introducing the Stateful Runtime Environment for Agents in Amazon Bedrock
Stateful Runtime for Agents in Amazon Bedrock brings persistent orchestration, memory, and secure execution to multi-step AI workflows powered by OpenAI.
Microsoft and OpenAI continue to work closely across research, engineering, and product development, building on years of deep collaboration and shared success.
To Deceive is to Teach? Forging Perceptual Robustness via Adversarial Reinforcement Learning
arXiv:2602.22227v1 Announce Type: new
Abstract: Despite their impressive capabilities, Multimodal Large Language Models (MLLMs) exhibit perceptual fragility when confronted with visually complex scenes. This weakness stems from a reliance on finite training datasets, which are prohibitively expensi...
Improving Spatial Allocation for Energy System Coupling with Graph Neural Networks
arXiv:2602.22249v1 Announce Type: new
Abstract: In energy system analysis, coupling models with mismatched spatial resolutions is a significant challenge. A common solution is assigning weights to high-resolution geographic units for aggregation, but traditional models are limited by using only a s...
Zatom-1: A Multimodal Flow Foundation Model for 3D Molecules and Materials
arXiv:2602.22251v1 Announce Type: new
Abstract: General-purpose 3D chemical modeling encompasses molecules and materials, requiring both generative and predictive capabilities. However, most existing AI approaches are optimized for a single domain (molecules or materials) and a single task (generat...
Graph Your Way to Inspiration: Integrating Co-Author Graphs with Retrieval-Augmented Generation for Large Language Model Based Scientific Idea Generation
arXiv:2602.22215v1 Announce Type: new
Abstract: Large Language Models (LLMs) demonstrate potential in the field of scientific idea generation. However, the generated results often lack controllable academic context and traceable inspiration pathways. To bridge this gap, this paper proposes a scient...
FIRE: A Comprehensive Benchmark for Financial Intelligence and Reasoning Evaluation
arXiv:2602.22273v1 Announce Type: new
Abstract: We introduce FIRE, a comprehensive benchmark designed to evaluate both the theoretical financial knowledge of LLMs and their ability to handle practical business scenarios. For theoretical assessment, we curate a diverse set of examination questions d...
arXiv:2602.22287v1 Announce Type: new
Abstract: Abstractions of causal models allow for the coarsening of models such that relations of cause and effect are preserved. Whereas abstractions focus on the relation between two models, in this paper we study a framework for causal embeddings which enabl...
Agent Behavioral Contracts: Formal Specification and Runtime Enforcement for Reliable Autonomous AI Agents
arXiv:2602.22302v1 Announce Type: new
Abstract: Traditional software relies on contracts -- APIs, type systems, assertions -- to specify and enforce correct behavior. AI agents, by contrast, operate on prompts and natural language instructions with no formal behavioral specification. This gap is th...