From generative autonomy to distributed cognition, artist Loni Stark shares six disruptions that AI brings to the art studio.

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Technical Architecture: From Data Platform to Algorithm Engine BFCAI has restructured the underlying technology of its smart quantitative trading system with distributed computing architecture and ...

Scientists were initially given less than a week to prepare for the loss of microwave observations that are key in detecting ...

Are you ready to unlock powerful crypto secrets today? Well, if you haven’t heard about yet, you might be missing out on one of the ...

Edge computing has been an efficient way to provide prompt and near-data computing services for resource-and-delay sensitive IoT applications via computation offloading. Effective computation ...

Will algorithms designed for interconnected computers hold up if some of the machines are not here on Earth but flying about ...

Edge computing enables data to be analyzed where it’s created—in stores, warehouses, and even in consumer-facing devices.

Distributed systems comprise a network of independent computing nodes that collaborate to achieve shared objectives despite challenges such as network latency, asynchrony and process failures.

Traditional grid planning can’t meet the demands of a distributed energy future. Explore how grid-edge flexibility and ...

Algorithm streamlines vascular system design for 3D printed hearts by Laura Castañón, Stanford University edited by Robert Egan Editors' notes ...