OpenAI’s new report, “AI in the Enterprise,” outlines seven key lessons for effective AI integration in organizations. It emphasizes structured evaluation, embedding AI in core products, and empowering employees to develop custom applications, showcasing how disciplined experimentation and robust tooling can drive successful enterprise AI adoption.
The blog post explores the Model Context Protocol (MCP) and Function Calling, two methods for integrating Large Language Models (LLMs) with external systems. It highlights their architectural differences, use cases, and security features, emphasizing MCP’s robustness for complex integrations and Function Calling’s flexibility for dynamic task execution.
Leidos is investing $10 million in collaboration with the University of Pittsburgh to develop AI tools for faster disease detection and management. This five-year initiative aims to enhance digital pathology research, improve diagnostic turnaround times, and provide educational opportunities for students while focusing on underserved communities.
SK Telecom has successfully demonstrated next-generation virtual base stations in collaboration with global manufacturers like Samsung, Ericsson, and Nokia. This innovation enhances service quality, capacity, and energy efficiency, marking a significant advancement in network AI technology. SK Telecom aims to lead future network developments through ongoing research and global partnerships.
OpenAI has launched its new GPT-4.1 models, which can process up to one million tokens and significantly enhance coding capabilities while reducing costs. The models, designed for enterprise applications, offer improved instruction following and performance, making them a practical choice for businesses integrating AI into their operations.
IBM recently announced it is two years away from achieving quantum advantage, a milestone that could revolutionize industries and enhance artificial intelligence. This advancement promises to merge quantum computing with generative AI, potentially transforming how machines process information and paving the way for Artificial General Intelligence.
Quantum computing is revolutionizing database technology by enabling faster query processing through principles like superposition and entanglement. This advancement enhances efficiency in pattern matching, graph traversal, and data storage, paving the way for innovative applications in fields such as genomics, finance, and network analysis, despite existing scalability challenges.
Writer has launched its “AI HQ” platform, aiming to bridge the gap between AI’s potential and real-world results. This innovative system enables businesses to create autonomous AI agents that can execute complex workflows, transforming enterprise operations and addressing the shortcomings of previous generative AI implementations.
The EU has unveiled a new action plan to enhance AI development, focusing on AI Factories and Gigafactories equipped with advanced AI chips. The initiative aims to mobilize €20 billion in investments and create data labs to build a robust internal market for data, addressing low AI adoption among companies.
SaxonQ has unveiled a portable quantum computer that operates at room temperature, eliminating the need for cryogenic cooling. Demonstrated at Hannover Messe 2025, it successfully executed real-time image classification and quantum chemistry simulations, showcasing its potential for industrial applications without complex infrastructure.
