Model Context Protocol (MCP) vs. AI Agent Skills: A Deep Dive into Structured Tools and Behavioral Guidance for LLMs
In recent times, many developments in the agent ecosystem have focused on enabling AI agents to interact with external tools...
AI News
BMW Deploys Humanoid Robots in Manufacturing Across Europe for the First Time
Europe’s factory floors have a new kind of colleague. BMW Group has deployed humanoid robots in manufacturing in Germany for...
Stanford Researchers Release OpenJarvis: A Local-First Framework for Building On-Device Personal AI Agents with Tools, Memory, and Learning
Stanford researchers have introduced OpenJarvis, an open-source framework for building personal AI agents that run entirely on-device. The project comes...
Y Combinator-backed Random Labs launches Slate V1, claiming the first 'swarm-native' coding agent
The software engineering world is currently wrestling with a fundamental paradox of the AI era: as models become more capable,...
How to Build an Autonomous Machine Learning Research Loop in Google Colab Using Andrej Karpathy’s AutoResearch Framework for Hyperparameter Discovery and Experiment Tracking
In this tutorial, we implement a Colab-ready version of the AutoResearch framework originally proposed by Andrej Karpathy. We build an...
Agents need vector search more than RAG ever did
What's the role of vector databases in the agentic AI world? That's a question that organizations have been coming to...
The team behind continuous batching says your idle GPUs should be running inference, not sitting dark
Every GPU cluster has dead time. Training jobs finish, workloads shift and hardware sits dark while power and cooling costs...
How multi-agent AI economics influence business automation
Managing the economics of multi-agent AI now dictates the financial viability of modern business automation workflows.Organisations progressing past standard chat...
RSAC's Innovation Sandbox is where cybersecurity's next giants are born
Presented by RSACFor two decades, the RSAC Innovation Sandbox contest has been the industry's most reliable crystal ball. With over...
FIFA World Cup 2026 will be the most AI-driven tournament ever. Here’s the proof
When Romy Gai, FIFA’s chief business officer, described the operational challenge of running a 48-team World Cup across Canada, Mexico...
Manufact raises $6.3M as MCP becomes the ‘USB-C for AI’ powering ChatGPT and Claude apps
For decades, software companies designed their products for a single type of customer: a human being staring at a screen....
Nvidia's new open weights Nemotron 3 super combines three different architectures to beat gpt-oss and Qwen in throughput
Multi-agent systems, designed to handle long-horizon tasks like software engineering or cybersecurity triaging, can generate up to 15 times the...
How physical AI integration accelerates vehicle innovation
The integration of physical AI into vehicles remains a primary objective for automakers looking to accelerate innovation.A technical collaboration between...
How to Design a Streaming Decision Agent with Partial Reasoning, Online Replanning, and Reactive Mid-Execution Adaptation in Dynamic Environments
@dataclass class AgentConfig: horizon: int = 6 replan_on_target_move: bool = True replan_on_obstacle_change: bool = True max_steps: int = 120 think_latency:...
Anthropic gives Claude shared context across Microsoft Excel and PowerPoint, enabling reusable workflows in multiple applications
Anthropic has upgraded its Claude AI model with new capabilities for Microsoft Excel and PowerPoint, marking a strategic move to...
Building physical AI with virtual simulation data
Virtual simulation data is driving the development of physical AI across corporate environments, led by initiatives like Ai2’s MolmoBot.Instructing hardware...
NVIDIA Releases Nemotron 3 Super: A 120B Parameter Open-Source Hybrid Mamba-Attention MoE Model Delivering 5x Higher Throughput for Agentic AI
The gap between proprietary frontier models and highly transparent open-source models is closing faster than ever. NVIDIA has officially pulled...
Google's Gemini Embedding 2 arrives with native multimodal support to cut costs and speed up your enterprise data stack
Yesterday amid a flurry of enterprise AI product updates, Google announced arguably its most significant one for enterprise customers: the...
New partnership to offer smart robots for dangerous environments
ADLINK Technology has signed a strategic alliance and joint development agreement with Under Control Robotics, the company behind the robotics...
How to Build a Self-Designing Meta-Agent That Automatically Constructs, Instantiates, and Refines Task-Specific AI Agents
class MetaAgent: def __init__(self, llm: Optional = None): self.llm = llm or LocalLLM() def _capability_heuristics(self, task: str) -> Dict: t...
Manulife moves AI agents into core financial workflows
Large financial firms have spent years testing artificial intelligence in small projects, often limited to data analysis or customer support...
Google AI Introduces Gemini Embedding 2: A Multimodal Embedding Model that Lets Your Bring Text, Images, Video, Audio, and Docs into the Embedding Space
Google expanded its Gemini model family with the release of Gemini Embedding 2. This second-generation model succeeds the text-only gemini-embedding-001...
