OutSystems platform empowers federal agencies to rapidly modernize legacy systems and deliver mission-critical digital services, while ensuring government-grade security and reliability OutSystems, a leading AI development platform, today announced that it has achieved Federal Risk and Authorization...
Intel 471 Continues Its Rapid Market Growth with New President Appointment
Michael DeBolt, Chief Intelligence Officer, appointed as President to position the company for further success and expansion in the cybersecurity solutions market Intel 471, the foremost provider of cyber threat intelligence-driven solutions globally, today announced the appointment of Michael DeBol...
Infinitus Launches Agentic AI Suite for Health Plan Member Services
New agentic AI suite handles inbound and outbound member calls, reduces costs, and improves engagement across the entire member journey Today, Infinitus Systems, Inc., healthcare’s leading agentic communications partner powering more than 100 million minutes of conversations, launched its new Agenti...
Exclusive: Positron raises $230M Series B to take on Nvidia’s AI chips
The investment comes from backers including the Qatar Investment Authority as demand for chips beyond Nvidia soars and as Qatar aims to build out its AI infrastructure.
MedShift Ends 2025 with Record Growth, Platform Expansion
MedShift, a leading enterprise software company, today announced a landmark year of growth, platform expansion, and industry recognition in 2025. The company achieved a 78% three-year growth rate, earning its fifth consecutive placement on the Inc. 5000 list, while also driving 144% year-over-year g...
EPAM Recognized as Leading Application Services IT Vendor for Third Year
Cementing its leadership as a digital and AI transformation partner, EPAM earned “Exceptional Performer” status with outstanding client satisfaction ratings across multiple key categories in Whitelane Research’s 2025/2026 European study EPAM Systems, Inc. (NYSE: EPAM), a leading digital and AI trans...
Thoughtworks appoints Karthik Srinivasan as Global Head, Agentic AI Platforms
Thoughtworks, a global technology consultancy that integrates design, engineering and AI to drive digital innovation, today announced the appointment of Karthik Srinivasan as Global Head of Agentic AI Platforms. In this role, he will lead the vision, strategy and execution of Thoughtworks’ agentic A...
Augmenting Parameter-Efficient Pre-trained Language Models with Large Language Models
arXiv:2602.02501v1 Announce Type: new
Abstract: Training AI models in cybersecurity with help of vast datasets offers significant opportunities to mimic real-world behaviors effectively. However, challenges like data drift and scarcity of labelled data lead to frequent updates of models and the ris...
What Drives Length of Stay After Elective Spine Surgery? Insights from a Decade of Predictive Modeling
arXiv:2602.02517v1 Announce Type: new
Abstract: Objective: Predicting length of stay after elective spine surgery is essential for optimizing patient outcomes and hospital resource use. This systematic review synthesizes computational methods used to predict length of stay in this patient populatio...
CreditAudit: 2$^\text{nd}$ Dimension for LLM Evaluation and Selection
arXiv:2602.02515v2 Announce Type: new
Abstract: Leaderboard scores on public benchmarks have been steadily rising and converging, with many frontier language models now separated by only marginal differences. However, these scores often fail to match users' day to day experience, because system pro...
Experience-Driven Multi-Agent Systems Are Training-free Context-aware Earth Observers
arXiv:2602.02559v1 Announce Type: new
Abstract: Recent advances have enabled large language model (LLM) agents to solve complex tasks by orchestrating external tools. However, these agents often struggle in specialized, tool-intensive domains that demand long-horizon execution, tight coordination a...
Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems
arXiv:2602.02582v1 Announce Type: new
Abstract: Large language models (LLMs) enable powerful zero-shot recommendations by leveraging broad contextual knowledge, yet predictive uncertainty and embedded biases threaten reliability and fairness. This paper studies how uncertainty and fairness evaluati...
A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior
arXiv:2602.02639v1 Announce Type: new
Abstract: LLM self-explanations are often presented as a promising tool for AI oversight, yet their faithfulness to the model's true reasoning process is poorly understood. Existing faithfulness metrics have critical limitations, typically relying on identifyin...
A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data
In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a behavior dataset from a constrained policy, and then train both a Behavior Cloning baseline and a Conser...
Efficiency Over Ego: China’s 2026 Pivot Toward Pragmatic AI Agents
China’s 2026 AI roadmap signals a strategic shift from LLM chat paradigms to high-efficiency 'Agentic' AI. Explore the move toward industrial AI+ integration and the new efficiency-first technical roadmap.
Memory isn't just a feature for AI applications—it's infrastructure. As agents scale, the limited loop of stateless interactions breaks down, and continuity becomes a systems problem that requires active maintenance.
Everything Will Be Represented in a Virtual Twin, Jensen Huang Says at 3DEXPERIENCE World
NVIDIA founder and CEO Jensen Huang and Dassault Systèmes CEO Pascal Daloz announced a partnership to build a shared industrial AI architecture, merging virtual twins with physics-based AI to redefine the future of design, engineering and manufacturing.
Qwen Team Releases Qwen3-Coder-Next: An Open-Weight Language Model Designed Specifically for Coding Agents and Local Development
Qwen team has just released Qwen3-Coder-Next, an open-weight language model designed for coding agents and local development. It sits on top of the Qwen3-Next-80B-A3B backbone. The model uses a sparse Mixture-of-Experts (MoE) architecture with hybrid attention. It has 80B total parameters, but only ...