NetSTAR and Varist Announce Alliance to Combat AI-Driven Cyber Threats
NetSTAR Global Inc. (NetSTAR), the global leader in OEM web categorization, IP reputation, and threat intelligence solutions, and Varist, a pioneer in AI-scale malware detection, today announced a strategic alliance designed to strengthen cybersecurity defenses in response to the rapid rise of gener...
Pellera Technologies Named to CRN Tech Elite 250 For 2026
Pellera Technologies, a leader in enterprise IT solutions, is pleased to announce that CRN, a brand of The Channel Company, has recognized Pellera on its 2026 Tech Elite 250 list. This annual list highlights North American solution providers that are committed to excellence and distinguish themselve...
Imagine telling a digital agent, “Use my points and book a family trip to Italy. Keep it within budget, pick hotels we’ve liked before, and handle the details.” Instead of returning a list of links, the agent assembles an itinerary and executes the purchase. That shift, from assistance to execution,...
Health CIOs Call for Interoperable EHRs, Cite Cost Barriers
Nearly 90% of health IT leaders surveyed say vendor consolidation is crucial to their interoperability strategy, while less than one-fifth currently have the technology required to provide it CliniComp, the pioneer in high-performing, reliable, electronic health record (EHR) solutions, today announc...
RethinkBH Launches AI Dashboard for Real-Time ABA Insights
New command center surfaces risks, guides action, and ensures smoother workflows to support better care and on-time revenue Rethink Behavioral Health (RethinkBH), the leading provider of EHR solutions designed for ABA therapy, today announced the launch of AI Dashboard. This centralized, intelligent...
Avahi Wins 2026 Artificial Intelligence Excellence Award in Agentic AI
Recognition honors organizations, products, teams, and individuals delivering measurable results through artificial intelligence Avahi, an AWS Premier Partner, today announced it has been named a winner in the 2026 Artificial Intelligence Excellence Awards, in the category of Agentic AI. Presented b...
AI is at war. Anthropic and the Pentagon feuded over how to weaponize Anthropic’s AI model Claude; then OpenAI swept the Pentagon off its feet with an “opportunistic and sloppy” deal. Users quit ChatGPT in droves. People marched through London in the biggest protest against AI to date. If you’re kee...
NVIDIA AI Introduces PivotRL: A New AI Framework Achieving High Agentic Accuracy With 4x Fewer Rollout Turns Efficiently
Post-training Large Language Models (LLMs) for long-horizon agentic tasks—such as software engineering, web browsing, and complex tool use—presents a persistent trade-off between computational efficiency and model generalization. While Supervised Fine-Tuning (SFT) is computationally inexpensive, it ...
Vectra AI Advances Observability with Proactive Exposure Mgmt
As AI-driven environments constantly evolve, Vectra AI brings real-time visibility, measurement, and action to changing exposure Vectra AI, the leader in modern network observability, signal, and control, today announced a major advancement to the Vectra AI Platform, delivering exposure management b...
Ping Identity Defines the Runtime Identity Standard for Autonomous AI
General Availability of Identity for AI establishes continuous, contextual enforcement and real-time control over AI agents Ping Identity, a leader in securing digital identities for the world’s largest enterprises, announced the General Availability of Identity for AI, introducing a model designed ...
Google Introduces TurboQuant: A New Compression Algorithm that Reduces LLM Key-Value Cache Memory by 6x and Delivers Up to 8x Speedup, All with Zero Accuracy Loss
The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM. Specifically, the Key-Value (KV) cache size scales with both model dimensions and context length, creating a significant bottleneck for long-context ...
When running LLMs at scale, the real limitation is GPU memory rather than compute, mainly because each request requires a KV cache to store token-level data. In traditional setups, a large fixed memory block is reserved per request based on the maximum sequence length, which leads to significant unu...
A Coding Implementation to Design Self-Evolving Skill Engine with OpenSpace for Skill Learning, Token Efficiency, and Collective Intelligence
In this tutorial, we explore OpenSpace, a self-evolving skill engine developed by HKUDS that makes AI agents smarter, more cost-efficient, and capable of learning from every task they perform. We walk through the complete lifecycle of OpenSpace: from installing and configuring an OpenAI model, to ex...
Anthropic hands Claude Code more control, but keeps it on a leash
Anthropic’s new auto mode for Claude Code lets AI execute tasks with fewer approvals, reflecting a broader shift toward more autonomous tools that balance speed with safety through built-in safeguards.
Databricks bought two startups to underpin its new AI security product
With an overflowing war chest from its recent $5 billion raise, Databricks is buying startups and looking for more. It acquired Antimatter and SiftD.ai.
This AI Paper Introduces TinyLoRA, A 13-Parameter Fine-Tuning Method That Reaches 91.8 Percent GSM8K on Qwen2.5-7B
Researchers from FAIR at Meta, Cornell University, and Carnegie Mellon University have demonstrated that large language models (LLMs) can learn to reason using a remarkably small number of trained parameters. The research team introduces TinyLoRA, a parameterization that can scale down to a single t...