Agentic AI

Richtech Robotics & Microsoft Partner to Advance Agentic AI in Real-World Robots Richtech Robotics has announced a collaboration with Microsoft’s AI Co-Innovation Labs to develop and implement agentic artificial intelligence in real-world robotic systems. This joint effort will enhance Richtech’s ADAM robot with adaptive intelligence using Microsoft’s Azure AI. The partnership aims to elevate robots from simple task executors to context-aware, conversational assistants by applying vision, voice, and autonomous reasoning to physical environments. The enhanced ADAM robot will be able to consider factors like time of day, weather, and promotions to better respond to customer needs. It will also use vision-based models to maintain service quality during busy periods and provide operational awareness, such as alerting staff about low inventory levels. ...

Northeastern’s RHYTHM AI Predicts Human Movement with LLMs Researchers at Northeastern University have engineered an AI tool called RHYTHM that utilizes large language models (LLMs) to predict human movement. This innovative tool can forecast an individual’s location from 30 minutes to 25 hours in the future. Built on open-source mobility data, the model leverages the contextual understanding of LLMs to generate predictions based on recurring daily, weekly, or monthly patterns. Potential applications for RHYTHM include enhancing transportation and traffic planning. In critical scenarios, the tool could be deployed to respond to natural disasters and public crises by providing accurate predictions of population movements. ...

OpenAI Warns Future AI Models Pose ‘High’ Cybersecurity Risks OpenAI has issued a stark warning that its upcoming frontier AI models could present ‘High’ level cybersecurity risks. The company stated that these advanced models might be capable of automating the discovery and exploitation of significant cyber vulnerabilities, including the development of functional zero-day exploits. To mitigate these potential threats, OpenAI is implementing a ‘defense-in-depth’ strategy. This includes training its models to refuse harmful requests while remaining useful for defensive and educational purposes. The company is also establishing a Frontier Risk Council, an advisory board of cybersecurity experts, to help manage these advanced AI risks. Furthermore, OpenAI is developing a trusted access program to provide enhanced AI capabilities to qualified cybersecurity professionals for defensive operations. ...