AMD launches Project GAIA, an open-source initiative enabling users to run LLMs locally on Ryzen AI NPU-equipped PCs. GAIA simplifies deployment, enhances privacy and speed, and utilizes agents for tasks like chat and Q&A. It supports NPU, hybrid (NPU+iGPU), and CPU modes, aiming to build an ecosystem around AMD's on-device AI hardware.
Ant Group unveils major AI upgrades across its healthcare solutions, aiming to enhance hospital operations, empower doctors with advanced tools like LLMs, and provide personalized patient care. Collaborations and proprietary tech like the 'All-in-One Large Model Machine' drive this transformation, focusing on security, efficiency, and accessibility.
Cognizant and Nvidia collaborate to accelerate enterprise AI adoption. Integrating Nvidia's full AI stack (NIM, NeMo, Omniverse) with Cognizant's Neuro AI platform, the partnership aims to move AI from pilots to production, focusing on multi-agent systems, industry LLMs, digital twins, and robust infrastructure to deliver scalable value faster.
Google introduces Gemini 2.5, a new AI model family featuring deliberative reasoning. Spearheaded by Gemini 2.5 Pro Experimental, it mimics human 'thinking' before answering. This marks a shift towards more thoughtful AI, available via Google AI Studio and Gemini Advanced, setting the stage for future Google AI development.
Accenture's new AI agent builder empowers businesses to scale their AI initiatives. This platform facilitates the creation of custom, intelligent agents for automating tasks, enhancing decision-making, and driving innovation across various industries. It offers an intuitive interface, customization, scalability, and seamless integration, promoting responsible AI development and fostering human-AI collaboration for a competitive edge.
Anthropic's AI, Claude, is on a Twitch livestream, trying to beat 'Pokémon Red'. Progress is slow, with breakthroughs and setbacks. Claude 3.7 Sonnet showed promise, defeating early Gym Leaders, but struggles with complex areas like Mt. Moon. The project reveals the challenges AI faces in spatial reasoning, contextual understanding, and efficient exploration, offering insights into AI's future.
I tested ChatGPT and Grok's 'deep research' capabilities on real-world Self-Managed Super Fund (SMSF) scenarios. Discover their strengths, weaknesses, and the future of AI in retirement planning. Learn how AI can assist with investment strategy, compliance, tax optimization, and more, but why it's a tool, not a replacement for human expertise.
At GTC 2025, Nvidia's CEO Jensen Huang unveiled the company's next-generation AI hardware, Blackwell Ultra and Vera Rubin, and outlined a vision of 'AI factories' powering a future driven by agentic AI and robotics. The keynote detailed advancements in computing, shifting from data centers to specialized AI infrastructure, and highlighted the transformative potential of AI across industries.
Accenture unveils a no-code AI agent builder on its AI Refinery platform, powered by NVIDIA AI Enterprise. This empowers businesses to rapidly create, customize, and deploy AI agents, accelerating AI adoption and driving value. It features industry-specific solutions, continuous learning, and proactive action, transforming business processes with generative AI and agentic technology.
IBM and NVIDIA join forces to accelerate enterprise AI adoption. This partnership focuses on data management, generative AI, and agentic applications. It addresses key challenges like complexity, data silos, and scalability, offering integrated solutions and expert guidance. The collaboration signifies a broader trend towards open-source and collaborative innovation in the rapidly evolving AI landscape.
