Paper2Agent: Transforming Research Papers into Interactive AI Agents Research papers are traditionally require readers and reviewers to interpret code, methods, and results independently. Paper2Agent aims to transform published research into interactive AI agents allow... AgentScope AI agents AutoGen Azure AI Agents Claude Code Code2MCP computational biology LangGraph MCP NotebookLM OpenAI Assistants OpenDevin open source reproducibility Stanford tutorial extraction
Unlocking Breakthrough Research: IBM Quantum Credits Program Quantum computing is no longer a niche pursuit; it has emerged as a critical driver of scientific discovery. IBM’s Quantum Credits program is at the center of this revolution, offering select research... academic research IBM Quantum innovation quantum computing quantum hardware research access scientific community technology advancement
How to Choose the Right Google AI Developer Tool for Your Workflow AI development is advancing fast, and Google’s portfolio of developer tools is evolving to keep pace. With so many options now available, selecting the right tool for your workflow can feel overwhelmi... AI development AI tools Code Assist developer workflow Firebase Studio Gemini Google Cloud Jules
Seamlessly Connecting IPv6-Only Workloads to IPv4 in Google Cloud As the shift to scalable cloud architectures accelerates, organizations are grappling with the challenge of supporting both IPv4 and IPv6 environments. While new deployments often use IPv6 to future-p... cloud networking DNS64 Google Cloud hybrid cloud IPv4 IPv6 NAT64 network migration
Improving LLM Accuracy: How SLED Leverages Every Model Layer for Factual Results Large language models (LLMs) have transformed how we interact with AI, but ensuring their outputs are consistently accurate remains a challenge. Hallucinations, confident but incorrect responses, ofte... AI research decoding methods factuality hallucinations LLM accuracy model layers SLED
6G Security: Leading the Charge for a Safer Digital Future As mobile networks evolve into critical digital infrastructure supporting billions of users and devices, the leap to 6G brings new security challenges. The sheer growth in connected devices, pervasive... 6G AI security data protection mobile networks network security post-quantum cryptography secure-by-design standardization
Notion 3.0: How AI Agents Are Redefining Productivity Productivity platforms have long promised to help us work smarter, but Notion 3.0 takes this idea to a new level. The latest update introduces an AI Agent designed not just to answer questions, but to... AI Agents Automation Collaboration Notion Personalization Productivity Software Update
Microsoft Discovery Is R&D Powered by Agentic AI Microsoft Discovery is a revolutionary platform designed to embed agentic AI directly into the R&D process. Announced at Microsoft Build 2025, this enterprise-ready solution is set to redefine innovat... AI agents Azure computational science enterprise AI Microsoft Discovery R&D innovation scientific collaboration scientific research
Building Smarter AI Interactions: How MCP Elicitation Elevates GitHub Copilot AI-powered development tools are moving beyond rigid interfaces, enabling more natural and responsive user experiences. A standout innovation in this space is elicitation within the Model Context Prot... AI tools developer experience elicitation GitHub Copilot MCP tool design user interaction
How Attackers Exploited ViewState Deserialization to Breach Sitecore Deployments A sophisticated cyber campaign has targeted organizations running Sitecore products, exploiting a critical zero-day flaw ( CVE-2025-53690 ). Attackers gained remote code execution by abusing exposed A... cybersecurity deserialization incident response malware remote code execution Sitecore ViewState zero-day
Speculative Cascades: The Hybrid Solution Driving Smarter, Faster LLM Inference As user expectations and AI adoption soar, delivering fast, cost-effective, and high-quality results from LLMs has become a pressing goal for developers and organizations alike. Speculative cascades a... AI efficiency AI optimization cascades language models LLM inference machine learning speculative decoding
Uni-LoRA: Ultra-Efficient Parameter Reduction For LLM Training Low-Rank Adaptation (LoRA) revolutionized how we fine-tune large language models by introducing parameter-efficient training methods that constrain weight updates to low-rank matrix decompositions (Hu... computational efficiency isometric projections linear algebra LoRA machine learning mathematics neural networks optimization parameter efficiency projection methods