AI Agents are Reasoning with Tools: What MCP Means for Autonomy
With protocols like MCP, models are no longer just responding to prompts. They are actively reasoning about the tools and steps needed to complete a
Topic: Artificial intelligence technologies
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Electric Vehicle Makers Embrace AI and Automation
EV automakers have doubled down on the use of advanced technologies and increasingly rely on AI and automation to address market volatility and production …
Real-time Analytics News for the Week Ending May 24
In this week's real-time analytics news: NVIDIA and its partners made multiple AI-related announcements at COMPUTEX
NVIDIA Announces U.S. AI Supercomputer Manufacturing
NVIDIA plans to bring supercomputing manufacturing to the United States for the first time, helping boost resilience in its supply
Beyond Speed: Why Modern HPC Must Prioritize Data Durability to Maximize ROI
By embracing durability as a strategic priority, organizations can mitigate risks, protect their investments, and enable innovation in an increasingly …
MCP: Enabling the Next Phase of Enterprise AI
The Model Context Protocol (MCP) supports the development of AI agents that can perform complex tasks by interacting with multiple data sources and tools in …
Why Latency Reduction is Critical in Real-Time Visual Intelligence Systems
As visual intelligence becomes embedded in business operations, latency should be treated as a key performance indicator. And while addressing latency has …
Real-Time Visual Intelligence in Retail
The adoption of Real-Time Visual Intelligence empowers retailers to visualize and understand customer behavior intricately, enabling dynamic adjustments to …
How to Make Your Legacy Systems Part of Your Real-Time AI Efforts
It’s tempting to view legacy systems as barriers to innovation, but they can become part of a powerful hybrid future with the right architecture. Building …
Why Industrial AI Fails Without Quality Visual Data
In industrial AI, visual data quality isn’t optional; it’s mission critical. And as systems grow more autonomous and interconnected, the stakes only