Browsing: AI & Automation

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Several years ago, Julie Wray and Carrie Trudden, Howard County Public School System’s (HCPSS) then- and current coordinators of Instructional Technology, began receiving emails from a group called Howard County Hour of Code (HocoHOC). At the time, Wray and Trudden were unfamiliar with the group and skeptical about its offer to partner with the district…

The medical and legal professions might seem like entirely disparate disciplines. But in the words ofGeorge Triantis, JSD ’89, andLloyd Minor, MD, deans of the Stanford Law School and School of Medicine, respectively, they are like-minded service professions facing new opportunities and challenges in the era of artificial intelligence.

The next big artificial intelligence risk is not AI agents going rogue, but ones that slip human control and pursue their own survival infinitely, according to a new report.

Machine learning models learn to recognize the world around us from examples labeled by humans. Underlying this process is an assumption that the person doing the labeling has a clear and stable definition of the category in mind before they begin. This assumption holds well when training a model on objective categories, like a stop…

When production AI agents handle tasks such as data analysis and report generation, context management can become a major bottleneck. A 200K-token window sounds generous until a real-world task burns through most of it in minutes. Data analysis and report generation leave the agent failing mid-execution, losing accuracy, or driving up costs. A body of…

Sydney-based financial services firm expands its private equity activities following successful early-stage investment opportunities in leading artificial intelligence companies.

The following is a guest article by Paige Schwein, Vice President, Technology Services atHealthrise

Enterprise AI is creating new opportunities for life sciences organizations to improve decision-making across commercial, medical, market access, and other business functions. But the quality of every AI model, dashboard, and business insight depends on one thing: trusted data. As enterprise data grows across multiple platforms, pipelines, and business domains, maintaining consistent data quality has…

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