For teams responsible for mission-critical systems, the question is no longer just how to design for uptime; it’s who is in ...
Speeding up drug discovery in the age of AI may come down to a concept that's comfortingly old-fashioned: Consulting a ...
Psychiatrists and neuroscientists are taking a major step toward objective mental health diagnosis by launching a central reference database for the classification and communication of mental health ...
Materials informatics sits at the intersection of experimental science, computation, and data analytics. The aim is simple: use data and models to make discovering, designing, and deploying new ...
CISOs win by ditching “No,” teaming with builders early and baking security into daily work so the business can move fast without blowing things up. We can keep it real here. One of the main jobs ...
OpenAI is partnering with Hon Hai Precision Industry Co. to design and manufacture hardware for data centers, the latest move by the ChatGPT-maker to meet its surging need for infrastructure to ...
Harvard Business School faculty, in collaboration with Microsoft and its clients, will study human-AI work, publish evidence-based blueprints, and deliver custom workshops for executives to rapidly ...
Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...
Why cooling is critical to data center system design. What types of cooling options are available to designers? Advantages and disadvantages of single-phase immersion cooling. Today, most present ...
Burns & McDonnell, Jacobs, WSP, HPE Sustainable Data Center Modernization, Woolpert, Kimley-Horn, Olsson, and EXP head Building Design+Construction's ranking of the ...
This view of NASA’s Ingenuity Mars Helicopter was generated using data collected by the Mastcam-Z instrument aboard the agency’s Perseverance Mars rover on Aug. 2, 2023, the 871st Martian day, or sol, ...
AI systems are only as fair and safe as the data they’re built on. While conversations about AI ethics often focus on model architecture, algorithmic transparency or deployment oversight, fairness and ...
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