AI has not reduced the need for human judgment in database management: It has exposed how dangerous it is to operate without ...

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.

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 ...

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 ...

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 ...

Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

Behind layers of plaster, paint, and finishes lies an intricate network of pipes, electrical conduits, beams, and other structural elements that make a building function and stand, yet remain ...

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 ...