New Research from Rein Security finds most security teams struggle to detect AI agent misuse in production Rein Security, a trusted application security company for leading enterprises, today released “The Great AppSec Reality Check: What Security Pros Really Think of Their Existing Tools” Based on ...
Citrini Research imagines a report from two years in the future, in which unemployment has doubled and the total value of the stock market has fallen by more than a third.
Who has ever had a great idea about an application, only to be confronted with the reality of the development dread, which may take weeks, or even months. The path between the idea and a working product can be tiresome. Imagine that you could fit that whole procedure into the amount of time you spen...
Data Storytelling using AI: 5 Techniques to Present AI-Generated Insights
AI can generate insights faster than any analyst ever could. But speed isn’t the problem anymore. The real problem is value. In 2026, the gap isn’t between companies that use AI and those that don’t. It’s between those who can explain AI-generated insights clearly and those who just copy-paste model...
5 Essential Design Patterns for Building Robust Agentic AI Systems
Build robust AI agents with design patterns for ReAct loops, multi-agent workflows, and state management essential for moving from prototype to reliable production.
Agentic AI has clearly moved beyond buzzword status. McKinsey’s November 2025 survey shows that 62% of organizations are already experimenting with AI agents, and the top performers are pushing them into core workflows in the name of efficiency, growth, and innovation. However, this is also where th...
New AI Agent is Industry’s First to Deliver On-Demand, Machine-Speed Security Assessment Incorporating Business Context Simbian®, the leader in building superintelligence for security operations, today announced the launch of the Simbian AI Pentest Agent, a new solution to provide enterprises with o...
Humanity Unveils Proof of Trust to Tackle AI Fraud
Humanity, a technology startup building the internet’s trust layer, today announced a major platform evolution: a transition from its original Proof of Humanity mechanism to Proof of Trust. Humanity’s Proof of Trust is a broader consensus framework that will enable organizations to verify and prove ...
Pulselight platform now available to NHS via £10bn Fortrus Framework
Pulselight’s platform can now be procured for NHS organisations via this pre-approved route to market Pulselight, a leading healthcare data analytics provider, is now an authorised partner on the £10bn capacity Fortrus Digital Enablement Framework (“the framework”), giving NHS organisations a fast, ...
Top rankings across multiple categories reflect high customer satisfaction with Samsara’s AI-powered, unified platform for global operations Samsara Inc. (“Samsara”) (NYSE: IOT), the pioneer of the Connected Operations® Platform, today announced the company has been named the No. 1 Best Supply Chain...
WestFax Launches AI-Powered IDP Platform for Healthcare
WestFax Comprehend Now Available Across All Service Tiers, Automating Medical Document Classification, Data Extraction and Workflow Routing WestFax, a provider of HIPAA-compliant cloud fax and healthcare document exchange solutions, today announced the official launch of WestFax Comprehend, an AI-po...
Cobalt AI Launches Advanced Data Infrastructure for AI Labs
Cobalt AI, a San Francisco-based startup, is scaling up its comprehensive platform that provides expert-curated datasets, evaluation frameworks, and specialized data tools designed for AI labs, AI agent development, and institutional investors. The platform delivers critical training and evaluation ...
Taalas is replacing programmable GPUs with hardwired AI chips to achieve 17,000 tokens per second for ubiquitous inference
In the high-stakes world of AI infrastructure, the industry has operated under a singular assumption: flexibility is king. We build general-purpose GPUs because AI models change every week, and we need programmable silicon that can adapt to the next research breakthrough. But Taalas, the Toronto-bas...
Reducing Text Bias in Synthetically Generated MCQAs for VLMs in Autonomous Driving
arXiv:2602.17677v1 Announce Type: new
Abstract: Multiple Choice Question Answering (MCQA) benchmarks are an established standard for measuring Vision Language Model (VLM) performance in driving tasks. However, we observe the known phenomenon that synthetically generated MCQAs are highly susceptible...
Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization
arXiv:2602.17679v1 Announce Type: new
Abstract: Bayesian optimization (BO) is a powerful method for optimizing black-box manufacturing processes, but its performance is often limited when dealing with high-dimensional multi-stage systems, where we can observe intermediate outputs. Standard BO model...
BioBridge: Bridging Proteins and Language for Enhanced Biological Reasoning with LLMs
arXiv:2602.17680v1 Announce Type: new
Abstract: Existing Protein Language Models (PLMs) often suffer from limited adaptability to multiple tasks and exhibit poor generalization across diverse biological contexts. In contrast, general-purpose Large Language Models (LLMs) lack the capability to inter...
LATMiX: Learnable Affine Transformations for Microscaling Quantization of LLMs
arXiv:2602.17681v1 Announce Type: new
Abstract: Post-training quantization (PTQ) is a widely used approach for reducing the memory and compute costs of large language models (LLMs). Recent studies have shown that applying invertible transformations to activations can significantly improve quantizat...
Duality Models: An Embarrassingly Simple One-step Generation Paradigm
arXiv:2602.17682v1 Announce Type: new
Abstract: Consistency-based generative models like Shortcut and MeanFlow achieve impressive results via a target-aware design for solving the Probability Flow ODE (PF-ODE). Typically, such methods introduce a target time $r$ alongside the current time $t$ to mo...
Epistemic Traps: Rational Misalignment Driven by Model Misspecification
arXiv:2602.17676v1 Announce Type: new
Abstract: The rapid deployment of Large Language Models and AI agents across critical societal and technical domains is hindered by persistent behavioral pathologies including sycophancy, hallucination, and strategic deception that resist mitigation via reinfor...
The Token Games: Evaluating Language Model Reasoning with Puzzle Duels
arXiv:2602.17831v1 Announce Type: new
Abstract: Evaluating the reasoning capabilities of Large Language Models is increasingly challenging as models improve. Human curation of hard questions is highly expensive, especially in recent benchmarks using PhD-level domain knowledge to challenge the most ...
El Agente Gr\'afico: Structured Execution Graphs for Scientific Agents
arXiv:2602.17902v1 Announce Type: new
Abstract: Large language models (LLMs) are increasingly used to automate scientific workflows, yet their integration with heterogeneous computational tools remains ad hoc and fragile. Current agentic approaches often rely on unstructured text to manage context ...
Alignment in Time: Peak-Aware Orchestration for Long-Horizon Agentic Systems
arXiv:2602.17910v1 Announce Type: new
Abstract: Traditional AI alignment primarily focuses on individual model outputs; however, autonomous agents in long-horizon workflows require sustained reliability across entire interaction trajectories. We introduce APEMO (Affect-aware Peak-End Modulation for...