AI agents now account for 51% of web traffic, fundamentally changing how websites are consumed. The rise of voice interaction and AI assistants means developers must optimize sites for machine parsing.
While 78% of organizations now use AI technologies, 94.8% of websites fail basic accessibility standards, with 70% of new AI chatbots creating significant barriers for users with disabilities.
Enterprises leveraging AI coding assistants report 20-57% productivity gains while transforming internal tools from departmental solutions to organization-wide platforms. Based on comprehensive research across Fortune 500 implementations, technology leaders, and industry analysts, organizations that combine strategic frameworks with robust governance achieve $1-1.5 billion in annual value creation. The shift
In a recent AI Ascent event hosted by Sequoia Capital, OpenAI CEO Sam Altman laid out a bold vision for how artificial intelligence will evolve over the next three years. He predicts a near-future where AI “agents” write code, drive scientific discoveries, and even act as autonomous robots in the
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
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.
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
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
As a parent, you can use AI to create personalized learning experiences without being a subject matter expert. Generate assessments, analyze your child's responses, and develop targeted learning plans based on their specific needs.
The debate between open and closed source AI reflects our digital values: Do we prioritize transparency and accessibility, or security and sustainable development?
Local Deep Research combines multiple LLMs with diverse search capabilities while maintaining privacy. Unlike basic search tools, it performs iterative analysis with intelligent follow-ups, evaluates information, identifies knowledge gaps, and can run entirely on your local machine.
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