Quantum computer breakthrough tracks qubit fluctuations in real time
Qubits, the heart of quantum computers, can change performance in fractions of a second — but until now, scientists couldn’t see it happening. Researchers at NBI have built a real-time monitoring system that tracks these rapid fluctuations about 100 times faster than previous methods. Using fast FPG...
Apple is (no so quietly) anchoring a vibrant ecosystem of talent, startups, and human-centered innovation. Here’s how its expansion is shaping the next chapter of AI in Austin, Texas.
Realbotix Appoints Eric Olsen, as Chief Operating Officer
Realbotix Corp. (TSX-V: XBOT) (Frankfurt: 76M0.F) (OTC: XBOTF) (“Realbotix” or the “Company”), a leader in AI-powered humanoid robotics, announces the appointment of Eric Olsen as the Chief Operating Officer of Realbotix LLC, the Company’s U.S. operating subsidiary based in Nevada. In conjunction wi...
Security Compass Releases Solution to Address AI-Driven Development Risks
New SD Elements capability makes security requirements clear, enforced, and auditable as AI writes more software Security Compass today released SD Elements for Agentic AI Workflow, a groundbreaking new way for organizations to stay in control of security and compliance as AI becomes part of softwar...
NETSCOUT Delivers AI-Ready Smart Data for Communications Service Providers
Curated Feeds Enable Scalable Agentic AI for Improved Customer Experience and Network Operations NETSCOUT® SYSTEMS, INC. (NASDAQ: NTCT), a leading provider of observability, AIOps, cybersecurity, and DDoS attack protection solutions, today announced the extension of the NETSCOUT Omnis™ AI Insights s...
Veteran finance leader joins Kong to help scale the business through its next stage of accelerated growth Kong Inc., a leading developer of API and AI connectivity technologies, today announced that Bruce Felt has joined the company as Chief Financial Officer (CFO). Felt is a seasoned finance leade...
QBO Cloud, the company that turns bare metal into powerful cloud platforms, today announced a collaboration with MinIO, the Exascale Data Store for the AI Enterprise. Together, the companies enable joint customers to accelerate enterprise-class AI ready infrastructure, combining the agility of QBO C...
Itential Named to Futuriom 50 for Sixth Consecutive Year
As enterprises race to operationalize AI across hybrid infrastructure, Itential provides the agentic operations platform that ensures every AI-driven action is orchestrated, governed, and auditable Itential, the leader in agentic operations for infrastructure, today announced it has been named to Fu...
First commercial deployment of APU in European cloud addresses surging AI demand, enabling EU enterprises to accelerate Apache Spark workloads while maintaining full control over data Speedata, developer of the world’s first purpose built Analytics Processing Unit (APU), today announced a strategic ...
Seismic helps GTM teams close execution gaps in Winter 2026 Product Release
New Page Builder Agent expands Seismic’s current lineup of AI agents, transforming how teams create, manage, and scale go-to-market efforts to win with confidence Seismic, the global leader in AI-powered enablement, today announced its Winter 2026 Product Release, introducing new capabilities design...
NVIDIA Releases Dynamo v0.9.0: A Massive Infrastructure Overhaul Featuring FlashIndexer, Multi-Modal Support, and Removed NATS and ETCD
NVIDIA has just released Dynamo v0.9.0. This is the most significant infrastructure upgrade for the distributed inference framework to date. This update simplifies how large-scale models are deployed and managed. The release focuses on removing heavy dependencies and improving how GPUs handle multi-...
A Few-Shot LLM Framework for Extreme Day Classification in Electricity Markets
arXiv:2602.16735v1 Announce Type: new
Abstract: This paper proposes a few-shot classification framework based on Large Language Models (LLMs) to predict whether the next day will have spikes in real-time electricity prices. The approach aggregates system state information, including electricity dem...
Quantifying LLM Attention-Head Stability: Implications for Circuit Universality
arXiv:2602.16740v1 Announce Type: new
Abstract: In mechanistic interpretability, recent work scrutinizes transformer "circuits" - sparse, mono or multi layer sub computations, that may reflect human understandable functions. Yet, these network circuits are rarely acid-tested for their stability acr...
DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning
arXiv:2602.16742v1 Announce Type: new
Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has been shown effective in enhancing the visual reflection and reasoning capabilities of Large Multimodal Models (LMMs). However, existing datasets are predominantly derived from either small-scal...
Retrieval Augmented (Knowledge Graph), and Large Language Model-Driven Design Structure Matrix (DSM) Generation of Cyber-Physical Systems
arXiv:2602.16715v1 Announce Type: new
Abstract: We explore the potential of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Graph-based RAG (GraphRAG) for generating Design Structure Matrices (DSMs). We test these methods on two distinct use cases -- a power screwdriver and ...
Contextuality from Single-State Representations: An Information-Theoretic Principle for Adaptive Intelligence
arXiv:2602.16716v1 Announce Type: new
Abstract: Adaptive systems often operate across multiple contexts while reusing a fixed internal state space due to constraints on memory, representation, or physical resources. Such single-state reuse is ubiquitous in natural and artificial intelligence, yet i...
Mobility-Aware Cache Framework for Scalable LLM-Based Human Mobility Simulation
arXiv:2602.16727v1 Announce Type: new
Abstract: Large-scale human mobility simulation is critical for applications such as urban planning, epidemiology, and transportation analysis. Recent works treat large language models (LLMs) as human agents to simulate realistic mobility behaviors using struct...
Gemini 3.1 Pro: A Hands-On Test of Google’s Newest AI
Just 3 months after the release of their state-of-the-art model Gemini 3 Pro, Google DeepMind is here with its latest iteration: Gemini 3.1 Pro. A radical upgrade in terms of capabilities and safety, Gemini 3.1 Pro model strives to be accessible and operable by all. Regardless of your preference, pl...