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Nvidia speeds AI, climate modeling

CIO Business Intelligence

For some applications, a simple database may suffice to record a product’s service history—when it was made, who it shipped to, what modifications have been applied—while others require a full-on 3D model incorporating real-time sensor data that can be used, for example, to provide advanced warning of component failure or of rain.

3D 361
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Federal Government Signals Interest In Several Key Leading Edge Technologies

CTOvision

An autonomic computing system would control the functioning of computer applications and systems without input from the user, in the same way that the autonomic nervous system regulates body systems without conscious input from the individual. 3D Printing Design & Implementation. Application Streaming / Virtualization.

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An Edge Vision for the Metaverse

CIO Business Intelligence

will introduce new dimensions of interaction such as virtual and decentralised 3D worlds and experiences. This will also trigger an influx of new gadgets such as haptic gloves that will allow you to feel objects in the metaverse – all which will be made possible by edge devices and applications. Where Web 2.0 Compute for the edge.

CTO 246
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How Nvidia became a trillion-dollar company

CIO Business Intelligence

Its founders spotted that generating 3D graphics in video games—then a fast-growing market—placed highly repetitive, math-intensive demands on PC central processing units (CPUs). One of the first applications for CUDA was in oil and gas exploration, processing the mountains of data from geological surveys.

Company 246
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6 strategic imperatives for your next data strategy

CIO Business Intelligence

By placing these platforms at the core of your data architecture, your organization can get a springboard into automation, analytics and AI/ML projects while rounding it out with additional partners and investments to complete your ecosystem.

Strategy 290
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What is an AI server? Why artificial intelligence needs specialized systems

Network World

To balance speed, performance and scalability, AI servers incorporate specialized hardware, performing parallel compute across multiple GPUs or using other purpose-built AI hardware such as tensor processing units (TPUs), field programmable gate array (FPGA) circuits and application-specific integrated circuit (ASIC).

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5 tips for building your innovation ecosystem

CIO Business Intelligence

As an example, this is happening right now in the Architecture, Engineering and Construction (AEC) industry. For decades, work has been performed on a project-by-project basis using CAD and BIM software to create specific 2D and 3D deliverables for clients. Keith Bentley, Bentley Systems. Validate your vision.

Industry 321