Matthew F. Ferraro, the former senior counselor for cybersecurity and emerging technology to the U.S. Secretary of Homeland Security, has joined Crowell & Moring as a partner in the Privacy and Cybersecurity Group. A trusted advisor to leaders across government and industry, Ferraro brings over a decade of experience helping clients address complex regulatory matters…
The Cynamics AI-enabled Network Detection and Response solution enables U.S. government agencies to proactively predict threats at scale by using less than 1% of network traffic CGC, the market readiness and compliance automation affiliate of Merlin Group, announced today that Cynamics, a leading provider of AI-driven network security solutions, has achieved FedRAMP® Authorization as a managed service offering on the CGC platform….
Leaders in the Application Performance Monitoring market include Datadog, Dynatrace, Elastic, New Relic, and Splunk. The Application Performance Monitoring (APM) market is undergoing significant disruption in 2025 as generative AI intersects with increasingly complex application architectures. Generative AI is reshaping the user experience by introducing natural language interfaces that make performance insights accessible to a broader…
AI-powered compliance, smarter SaaS governance, and modern DCIM expand enterprise IT resilience and operational velocity Oomnitza, a recognized leader in AI-era IT Asset Management (ITAM), today announced its latest product release, delivering powerful advancements across SaaS governance, audit readiness, integration reliability, and infrastructure management. The update introduces Doc Agent, an AI-powered audit documentation engine; expanded SaaS and…
A Unified Deep Learning Model to Understand the Genome Google DeepMind has unveiled AlphaGenome, a new deep learning framework designed to predict the regulatory consequences of DNA sequence variations across a wide spectrum of biological modalities. AlphaGenome stands out by accepting long DNA sequences—up to 1 megabase—and outputting high-resolution predictions, such as base-level splicing events,…
Modern language agents need to handle multi-turn conversations, retrieving and updating information as tasks evolve. However, most current systems simply add all past interactions to the prompt, regardless of relevance. This leads to bloated memory usage, slower performance, and poor reasoning on longer inputs that weren’t seen during training. Real-world examples, such as research or…
Exploring Text-to-Speech Technology for Video Game Narration Video games are much more than entertainment; they are powerful storytelling mediums that transport us into new worlds. Narration, whether through characters, guides, or omnipresent storytellers, plays a crucial role in creating immersive experiences. But as gaming evolves, so does the technology behind it. One of the most…
Google has unveiled Gemini CLI, an open-source command-line AI agent that integrates the Gemini 2.5 Pro model directly into the terminal. Designed for developers and technical power users, Gemini CLI allows users to interact with Gemini using natural language directly from the command line—supporting workflows such as code explanation, debugging, documentation generation, file manipulation, and…
Introduction: Personal LLM Agents and Privacy Risks LLMs are deployed as personal assistants, gaining access to sensitive user data through Personal LLM agents. This deployment raises concerns about contextual privacy understanding and the ability of these agents to determine when sharing specific user information is appropriate. Large reasoning models (LRMs) pose challenges as they operate…
Challenges of LLMs in Medical Decision-Making: Addressing Hallucinations via Knowledge Retrieval LLMs are set to revolutionize healthcare through intelligent decision support and adaptable chat-based assistants. However, a major challenge is their tendency to produce factually incorrect medical information. To address this, a common solution is RAG, where external medical knowledge is broken into smaller text…