Knowledge Graphs | Stanford's Dr. Vinay C. Reveals AI Secrets

Kabir

14 Mar 2025 — 1 min read

Vinay K. Chaudhri is a pioneering researcher in artificial intelligence and knowledge representation, best known for his work on Knowledge Graphs. With a distinguished career spanning academia and industry, he has contributed extensively to AI-driven reasoning systems. As a former senior scientist at Stanford University, Chaudhri played a key role in advancing knowledge-based systems. Later, at JP Morgan, he applied his expertise to financial AI, enhancing decision-making through structured knowledge. His work continues to shape the future of AI, bridging the gap between human knowledge and machine intelligence.

IN GOOGLE.WIZ WE TRUST?

Google's recent $32 billion acquisition of Wiz, an Israeli cloud security startup leveraging eBPF technology, marks its largest acquisition to date. This eye-popping sum—significantly above Wiz's previous valuations—signals Google's strategic shift toward deep security integration in cloud-native environments. The all-cash deal represents

How Linux Kernel Runs Cybersecurity Tools Inside!

Extended Berkeley Packet Filter technology enables programs to run safely within the Linux kernel, revolutionizing cybersecurity. It provides unprecedented visibility into system behavior with minimal overhead, transforming how we detect threats and enforce security policies in cloud environments.

AI for Presidents

Artificial intelligence has transformed from a scientific curiosity into perhaps the most consequential technological force of our time. For presidents and national leaders, understanding AI is no longer optional—it has become essential for effective governance in the 21st century. This article provides a comprehensive overview of the current AI

The True Value of Open Source Software: Trillions in Economic Impact

Open source software (OSS) has become indispensable to the modern economy, forming the foundation of countless technologies we use daily. But how do we measure the economic value of something that's freely available? A groundbreaking study by researchers Manuel Hoffmann, Frank Nagle, and Yanuo Zhou offers unprecedented insights