Matrix Trading AI: Innovation in Funded Trading Using Technology
How the First Arab Funding Company is Transforming the World of Financial Trading
Off-the-Shelf Technology Aids U.S. Air Force Student Pilots
173rd FW uses off-the-shelf technology to aid student pilots
Cognizant Impact Study Predicts Generative AI Could Inject $1 Trillion Into U.S. Economy Over 10 Years
Cognizant & Oxford Economics impact study predicts 90% of jobs will be disrupted in some way by generative AI.
INC. Magazine Ranks Demco Automation a Top 5000 Fastest-Growing Private American Company
Demco Automation develops automated manufacturing systems using new robotic technologies to a growing list of industries, including life science, pharmaceuticals, biotech, medical device, defense, aerospace, electronics, commercial/industrial products, semiconductors, and consumer products.
Here’s What Policymakers Can Do About Deepfakes
By Christina Montgomery, Chief Privacy & Trust Officer, IBM and Joshua New, Senior Fellow, IBM Policy Lab
U.S. Marine Corps AI Fellowship Boosts Workforce Capabilities
New program at Naval Postgraduate School trains Marines to use artificial intelligence for real world operational challenges.
How Real Estate Data Annotation Helps Business Grow?
What is Real Estate Data Annotation and Why Is It Important?
New $20 Million Grant Will Help Johns Hopkins Develop Technologies for Healthy Aging
Multicenter 'collaboratory' will focus on the use of artificial intelligence to improve long-term health, independence for older people
The Best Model Context Protocol Solutions for 2025: Top Tools That Connect AI to Real-World Data
Model Context Protocol (MCP) is an open standard developed by Anthropic which is designed to streamline how AI models interact with external tools, data sources, and services. As businesses increasingly adopt AI-powered workflows, the need for seamless data integration has never been more critical. While Anthropic announced MCP in late 2024, its momentum significantly accelerated in early 2025, fundamentally changing how Large Language Models access and utilize enterprise data.
