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AI agents can't teach themselves new tricks – only people can
Self-generated skills don't do much for AI agents, study finds, but human-curated skills do Teach an AI agent how to fish for information and it can feed itself with data. Tell an AI agent to figure ...
ESET researchers discover PromptSpy, the first known Android malware to abuse generative AI in its execution flow ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
While it’s easier than ever to deploy automation, it’s much harder to ensure those early investments won’t hold a company back as it scales.
Matthew Connelly, a vice dean for AI initiatives at Columbia University, has been using machine learning for 15 years. But as more students have turned to generative AI over the past few years, he’s ...
At the India AI Impact Summit 2026, the AWS panel on AI adoption focused less on hype and more on execution. Leaders from Amazon Web Services (AWS) spoke about what it really takes to move India ...
One example involved a system built by a summer intern for his own project work. The tool geolocates devices within a drawing set and links them to a digital twin of the facility. Instead of searching ...
Mark Medum Bundegaard, Chief Product Officer at Partisia, is a technology and product leader specializing in privacy-enhancing technologies, blockchain architecture, and secure machine learning. He ...
Abstract: Spaceborne GNSS reflectometry (GNSS-R) missions have been successfully launched in recent years, such as Technology Demonstration Satellite (TDS-1) in 2014, Cyclone Global Navigation ...
The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
Abstract: Weather forecasting joins among the most critical undertakings in agriculture, disaster management, transportation, and many other sectors. Though traditional forecasting techniques are ...
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