Kong Launches Context Mesh to Connect Enterprise Data to AI Agents
Kong Context Mesh transforms existing APIs into agent-ready tooling, addressing the integration gap that threatens agentic AI initiatives Kong Inc., a leading developer of API and AI connectivity technologies, today announced Kong Context Mesh, an industry-first product that can automatically discov...
Percona Marks Milestone-Filled 2025 With Innovation, Leadership
A year defined by open source leadership and enterprise adoption positions the company for continued growth in 2026 Percona, a leader in enterprise-grade open source database software, support, and services, is accelerating into 2026 upon a wave of positive momentum from a landmark 2025 that reinfor...
Connie Implements PIQXL Gateway to Advance Data Quality Across Connecticut
The new implementation is the latest step in Connie’s long‑standing, collaborative strategy to improve the accuracy, completeness and trustworthiness of patient data across Connecticut Connie, Connecticut’s state-designated Health Information Exchange (HIE), today announced the implementation of Cli...
Claude Agents Just Built a Fully Functioning C Compiler With Zero Human Input
Sixteen autonomous AI agents. Two weeks of continuous execution. Nearly 100,000 lines of Rust code. That’s what it took for Anthropic to build a working C compiler capable of compiling large real-world projects like the Linux kernel. There is, however, a kicker here. The project, internally referred...
A-T-S!! A hurdle that most applicants just can’t cross. Spending hours on Overleaf and resume making websites to create their perfect resumes: just to find out that it has an ATS score of 40! For some it’s a dead end. Regardless of what they try, the score doesn’t seem to get anywhere near the requi...
SecureW2 Unveils Global Channel Program to Accelerate Partner Growth
Led by industry veteran Stephen Newhauser, new channel program delivers a partner-first framework to drive and scale partner-led revenue SecureW2, the passwordless security leader, today announced the launch of the Nexus Partner Program, its new global channel program, led by Stephen Newhauser, Seni...
Sophos Acquires Arco Cyber to Expand Agentic AI Security
The acquisition enables Sophos to deliver AI-enhanced cybersecurity governance to an underserved market, giving organizations the clarity, control, and decision-making needed to manage cyber risk Sophos, a global leader of innovative security solutions for defeating cyberattacks, today announced it ...
New AI-powered platform transforms how enterprises access competitive intelligence — ask any business question, get comprehensive insights in seconds Similarweb (NYSE: SMWB) today launched AI Studio, an enterprise AI intelligence solution that fundamentally transforms how organizations access and ac...
Nabla Appoints Dr. Matt Sakumoto as Chief Clinical Product Officer
Appointment marks next phase of growth as Nabla expands clinician-led product strategy grounded in frontline experience Nabla, one of the most widely adopted AI assistants in clinical care, today announced the appointment of Dr. Matt Sakumoto as Chief Clinical Product Officer. A leading clinical inf...
ID Dataweb™, a recognized leader in identity threat detection and risk mitigation, today announced that it has once again achieved SOC 2 Type II attestation for the ID Dataweb platform, reaffirming the company’s commitment to the highest standards of security, availability, and confidentiality. SOC ...
New platform eliminates scheduling friction through conversational AI assistants that work on your domain IgniteTech, the enterprise software powerhouse known for leading the AI transformation revolution, today announced Adminio™ AI, a groundbreaking, patent-pending platform that eliminates the tedi...
With co-founders leaving and an IPO looming, Elon Musk turns talk to the moon
According to The New York Times, which reports that it heard the meeting, Musk told employees that xAI needs a lunar manufacturing facility, a factory on the moon that will build AI satellites and fling them into space via a giant catapult.
Enhanced Graph Transformer with Serialized Graph Tokens
arXiv:2602.09065v1 Announce Type: new
Abstract: Transformers have demonstrated success in graph learning, particularly for node-level tasks. However, existing methods encounter an information bottleneck when generating graph-level representations. The prevalent single token paradigm fails to fully ...
Spectral Disentanglement and Enhancement: A Dual-domain Contrastive Framework for Representation Learning
arXiv:2602.09066v1 Announce Type: new
Abstract: Large-scale multimodal contrastive learning has recently achieved impressive success in learning rich and transferable representations, yet it remains fundamentally limited by the uniform treatment of feature dimensions and the neglect of the intrinsi...
Learning to Remember, Learn, and Forget in Attention-Based Models
arXiv:2602.09075v1 Announce Type: new
Abstract: In-Context Learning (ICL) in transformers acts as an online associative memory and is believed to underpin their high performance on complex sequence processing tasks. However, in gated linear attention models, this memory has a fixed capacity and is ...
Patient foundation model for risk stratification in low-risk overweight patients
arXiv:2602.09079v1 Announce Type: new
Abstract: Accurate risk stratification in patients with overweight or obesity is critical for guiding preventive care and allocating high-cost therapies such as GLP-1 receptor agonists. We present PatientTPP, a neural temporal point process (TPP) model trained ...
Looping Back to Move Forward: Recursive Transformers for Efficient and Flexible Large Multimodal Models
arXiv:2602.09080v1 Announce Type: new
Abstract: Large Multimodal Models (LMMs) have achieved remarkable success in vision-language tasks, yet their vast parameter counts are often underutilized during both training and inference. In this work, we embrace the idea of looping back to move forward: re...
A Small-Scale System for Autoregressive Program Synthesis Enabling Controlled Experimentation
arXiv:2602.09112v1 Announce Type: new
Abstract: What research can be pursued with small models trained to complete true programs? Typically, researchers study program synthesis via large language models (LLMs) which introduce issues such as knowing what is in or out of distribution, understanding f...
Uncertainty-Aware Multimodal Emotion Recognition through Dirichlet Parameterization
arXiv:2602.09121v1 Announce Type: new
Abstract: In this work, we present a lightweight and privacy-preserving Multimodal Emotion Recognition (MER) framework designed for deployment on edge devices. To demonstrate framework's versatility, our implementation uses three modalities - speech, text and f...
PABU: Progress-Aware Belief Update for Efficient LLM Agents
arXiv:2602.09138v1 Announce Type: new
Abstract: Large Language Model (LLM) agents commonly condition actions on full action-observation histories, which introduce task-irrelevant information that easily leads to redundant actions and higher inference cost. We propose Progress-Aware Belief Update (P...
CoMMa: Contribution-Aware Medical Multi-Agents From A Game-Theoretic Perspective
arXiv:2602.09159v1 Announce Type: new
Abstract: Recent multi-agent frameworks have broadened the ability to tackle oncology decision support tasks that require reasoning over dynamic, heterogeneous patient data. We propose Contribution-Aware Medical Multi-Agents (CoMMa), a decentralized LLM-agent f...