News from the AI & ML world
@developer.nvidia.com
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NVIDIA continues to advance the capabilities of AI across various sectors with its integrated hardware and software platforms. The NVIDIA Isaac GR00T N1 represents a significant leap in robotics, offering a hardware-software combination designed to provide humanoid robots with advanced cognitive abilities. This platform aims to bridge the gap between large language models and real-world dexterity, enabling robots to learn from single demonstrations and adapt to different tasks in diverse environments such as homes, factories, and disaster zones. Powered by the Jetson Thor chip and built on the Isaac robotics platform, GR00T N1 focuses on adaptability through foundation model reinforcement learning, allowing robots to reason and generalize insights, rather than simply reacting to pre-programmed instructions.
Agentic AI is transforming cybersecurity by introducing both new opportunities and challenges. These AI agents can autonomously interact with tools, environments, and sensitive data, enhancing threat detection, response, and overall security. Cybersecurity teams, often overwhelmed by talent shortages and high alert volumes, can leverage agentic AI to bolster their defenses. These systems can perceive, reason, and act autonomously to solve complex problems, serving as intelligent collaborators for cyber experts. Organizations such as Deloitte are utilizing NVIDIA AI Blueprints, NIM, and Morpheus to accelerate software patching and vulnerability management, while CrowdStrike and Trend Micro are leveraging NVIDIA AI software to improve security alert triaging and reduce alert fatigue.
NVIDIA NIM Operator 2.0 enhances AI deployment by supporting NVIDIA NeMo microservices, streamlining the management of inference pipelines for MLOps and LLMOps engineers. This new release simplifies the deployment, auto-scaling, and upgrading of NIM on Kubernetes clusters, building upon the capabilities of the initial NIM Operator. The NIM Operator 2.0 introduces the ability to deploy and manage the lifecycle of NVIDIA NeMo microservices, including NeMo Customizer for fine-tuning LLMs, NeMo Evaluator for comprehensive evaluation of LLMs, and NeMo Guardrails for adding safety checks and content moderation to LLM endpoints. These enhancements provide efficient model caching and boost overall operational efficiency for deploying and managing NIM on various infrastructures, as highlighted by Cisco Systems.
ImgSrc: developer-blogs
References :
- NVIDIA Newsroom: Agentic AI is redefining the cybersecurity landscape — introducing new opportunities that demand rethinking how to secure AI while offering the keys to addressing those challenges.
- NVIDIA Technical Blog: The first release of NVIDIA NIM Operator simplified the deployment and lifecycle management of inference pipelines for NVIDIA NIM microservices, reducing the...
- Sify: With the first hardware-software combo designed to give humanoid robots a brain worthy of the name, the AI revolution in robotics is officially out of beta.
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