AI Agents

March 2026 Tech News: AI Agents, Kubernetes 1.36, and Quantum Leaps AI Industry Shifts Focus to Autonomous Agents and Advanced Hardware The artificial intelligence sector is undergoing a significant transition, moving from generative assistance models to autonomous agentic systems capable of executing complex, multi-step workflows. This evolution towards more sophisticated ‘digital coworkers’ is exemplified by the development of models like GPT-5.4. Concurrently, the industry is preparing for a major leap in hardware with Nvidia expected to unveil its new ‘Rubin’ platform, which promises a generational advancement in computing power for AI. These developments are occurring as the financial and physical sustainability of the current AI infrastructure boom faces increased scrutiny, sparking debates on the required capital investment and growing local opposition to new data centers due to environmental concerns. ...

Tech News Digest: March 4, 2026 ‘Merlin’ AI Revolutionizes Medical Diagnostics with Automated CT Scan Analysis A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model named Merlin that analyzes 3D abdominal computed tomography (CT) scans for a wide range of diagnostic tasks. This powerful AI in healthcare is capable of identifying anatomical features and, more significantly, predicting disease onset years in advance. Merlin was trained on a large dataset of patient CT scans linked with radiology reports and medical diagnosis codes from Stanford University. In testing, the general-purpose model surpassed other automated tools specifically designed for the tasks it was evaluated on, signaling a major step forward in streamlining clinical workflows and enabling earlier disease diagnosis. ...

SAP Boosts Enterprise AI with New Tools and Global Skills Initiative SAP has unveiled a suite of AI-powered enhancements for its SAP Build solution, featuring new data integration capabilities and intelligent automation via Joule Agents. These updates aim to accelerate developer workflows and transform how businesses leverage data and AI. Addressing the global demand for AI talent, SAP has also committed to upskilling 12 million people by 2030 through expanded training programs with partners like Coursera. The company introduced its first relational foundation model, SAP-RPT-1, designed for predicting business outcomes. Furthermore, SAP is expanding its Business Data Cloud ecosystem through a new partnership with Snowflake, enhancing existing integrations with Databricks and Google Cloud. ...

MIT Report: 95% of Enterprise GenAI Projects Fail to Deliver ROI A new report from MIT’s NANDA initiative reveals that a staggering 95% of enterprise generative AI pilot programs are failing to produce a significant return on investment. Despite investments totaling between $35 and $40 billion in the US, only 5% of organizations have successfully deployed AI tools into production at scale. The report, titled “The GenAI Divide: State of AI in Business 2025,” is based on interviews with enterprise leaders, analysis of public AI initiatives, and a survey of business professionals. The primary reasons for failure are not a lack of infrastructure or talent, but rather the inability of AI systems to retain data, adapt, and learn over time. The study also found that purchasing AI tools from vendors and forming partnerships has a significantly higher success rate than in-house development. ...