AI
Artificial Intelligence (AI), a branch of computer science, is concerned with developing computers capable of doing tasks that would typically need human intelligence. Such tasks include learning from and adjusting to new facts or situations, reading human language, discovering patterns, problem-solving, and decision-making.
ElevenLabs Launches 11.ai: Customizable AI Voice Assistants
ElevenLabs introduces 11.ai, a customizable AI voice assistant platform, offering secure integrations and a library of over 5,000 voices for a personalized user experience.
OKX Ventures and Story Launch $10M Fund to Drive AI and IP Innovation
OKX Ventures and Story have unveiled a $10 million fund aimed at supporting startups innovating at the intersection of intellectual property and AI, fostering a new era of digital creativity.
NVIDIA Showcases Cutting-Edge Robotics and AI Technologies at Automatica 2025
NVIDIA and its partners unveil next-gen robotics and AI technologies at Automatica 2025, highlighting advancements in humanoid robots and industrial AI solutions.
NVIDIA and Vention Enhance Industrial Robotics with AI Integration
NVIDIA and Vention are advancing industrial robotics with AI-driven solutions, enhancing precision and adaptability in manufacturing through NVIDIA Isaac Manipulator and Vention MachineMotion AI.
Understanding the Emergence of Context Engineering in AI Systems
Discover the rise of context engineering, a crucial component in AI systems that ensures effective communication and functionality for large language models (LLMs).
IBM Unveils AI Innovations for Asset Management
IBM Research introduces advanced AI solutions for asset management, enhancing anomaly detection, remote collaboration, and workplace safety through Maximo Assist.
GitHub Launches Copilot Spaces for Enhanced AI Contextual Assistance
GitHub introduces Copilot Spaces, a feature designed to enhance AI-driven coding assistance by allowing developers to create context-rich environments tailored to their specific needs.
GitHub Explores AI and ML: Insights and Best Practices
GitHub Blog delves into AI and ML, offering insights from engineers and thought leaders on concepts, techniques, and real-world applications.
Efficient AI Pipelines: NVIDIA's NeMo Retriever Extraction on a Single GPU
NVIDIA's NeMo Retriever offers a streamlined solution for multimodal document extraction using a single GPU, enhancing AI pipelines' efficiency and reducing operational costs.
NVIDIA's ITMonitron Revolutionizes Real-Time IT Incident Detection
NVIDIA introduces ITMonitron, an AI-driven tool leveraging NIM inference microservices to enhance real-time IT incident detection, providing unified intelligence from fragmented signals.
NVIDIA Enhances Multi-GPU Communication with NCCL 2.26 Release
NVIDIA's NCCL 2.26 introduces performance enhancements, improved monitoring, and quality of service features, optimizing multi-GPU and multinode communications for AI and HPC applications.
Optimizing AI Retrieval: Choosing the Best Chunking Strategy
Explore the best chunking strategies for AI systems to enhance retrieval accuracy. Discover insights from NVIDIA's experiments on page-level, section-level, and token-based chunking.
NVIDIA's GB200 NVL72 Boosts AI Model Evaluation at UC Berkeley's LMArena
LMArena at UC Berkeley utilizes NVIDIA's GB200 NVL72 to enhance AI model evaluation, thanks to collaborations with NVIDIA and Nebius, improving the ranking of large language models.
NVIDIA Launches G-Assist Plug-In Hackathon for AI Enthusiasts
NVIDIA invites developers to participate in the G-Assist Plug-In Hackathon, offering prizes and exposure for creating innovative AI tools.
NVIDIA Enhances LLMOps for Efficient Model Evaluation and Optimization
NVIDIA introduces advanced LLMOps strategies to tackle challenges in large language model deployment, focusing on fine-tuning, evaluation, and continuous improvement, as demonstrated in collaboration with Amdocs.