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Meta has finalized three major solar energy agreements in the United States, aiming to power its AI-driven data centers and advance its sustainability goals by offsetting carbon emissions.
Leading technology companies including Google, Amazon, Microsoft, and Meta are collectively allocating an unprecedented $725 billion budget towards artificial intelligence development, focusing on data centers, chips, and infrastructure for the upcoming year.
LG and NVIDIA are engaged in strategic talks focusing on physical AI, data center innovations, and mobility solutions. Their collaboration aims to overcome key hardware and processing challenges essential for advancing autonomous systems beyond simulations into real-world applications.
OpenAI’s GPT-5.5 has demonstrated autonomous proficiency in complex network attack simulations, matching the performance of Anthropic’s Claude Mythos, according to findings from the UK AI Security Institute. Available through ChatGPT and API, GPT-5.5 sets a new benchmark in AI-driven cybersecurity.
Anthropic has launched Cowork, a groundbreaking AI agent designed to help non-technical users manage and organize files on their computers. Built rapidly with the aid of Anthropic’s own Claude Code, Cowork aims to redefine AI productivity tools by extending developer-grade capabilities to everyday users.
Anthropic introduces Cowork, a new AI-powered desktop agent designed to handle file-based tasks for non-technical users. Built rapidly using its own AI coding tool, Cowork aims to compete with major AI productivity tools by simplifying complex workflows and enhancing user productivity.
Kakao Mobility has revealed its comprehensive plan to develop Level 4 autonomous driving technology in-house, emphasizing integration with physical AI and an open ecosystem to boost South Korea’s competitiveness in autonomous mobility.
OpenAI launched GPT-5.5, marking a significant advancement in agentic AI capabilities with enhanced planning, tool usage, and autonomous task execution, though at double the API pricing of its predecessor.
APIs and MCPs are essential technologies enabling data exchange in software and AI environments. While APIs facilitate communication between software applications, MCPs are tailored for large language models to access tools and data efficiently. This article explores their distinctions, use cases, and the importance of gateways for security in AI-driven systems.
Lightelligence, a pioneering photonics chipmaker, experienced a nearly 400% surge in its Hong Kong IPO, signaling investor confidence in optical interconnect technology as the future solution to AI’s data transfer challenges.