Artificial intelligence (AI) is an innovation powerhouse. It autonomously learns on its own and evolves to meet simple and complex needs, from product recommendations to business predictions. As more people and services produce data, more powerful AI is necessary to process it all. AI chipsets that use edge computing are the solution.
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Microsoft, HPE Bringing AI, Edge, Cloud to earth Orbit in preparation for Mars missions
The International Space Station will soon get a delivery of powerful AI, edge and cloud computing tools from HPE and Microsoft Azure to expand technology experiments aimed at preparing NASA for launching future crewed exploratory missions to Mars. The new equipment and software, including HPE’s specialized, second-generation Spaceborne Computer-2 (SBC-2), will mark the first time that broad AI and edge computing capabilities will be available to researchers on the space station, Tom Keane, Microsoft’s vice president of Azure Global, wrote in a Feb. 11 post on the Azure blog.
Read MoreAlphaICs raises $8 million for AI-at-the-edge processors
AlphaICs has raised $8 million in funding for artificial intelligence processors for edge computing. The round was led by Emerald Technology Ventures and Endiya Partners. The Milpitas, California-based company was started in 2016 by Vinod Dham, a former Intel executive known as the “father of the Pentium.”
Read MoreHoneywell lays down $1.3 billion to drive AI and IoT into life sciences
Honeywell announced yesterday it will acquire Sparta Systems for $1.3 billion to gain control of quality management software (QMS) that the company is promising to augment with machine learning algorithms and other AI capabilities.
Read MoreAIStorm raises $16 million for low-powered AI edge computing chips
AIStorm, an AI startup developing chipsets that can directly process data from devices, has raised $16 million. The company says the funding will enable it to scale manufacturing to deploy its hardware for devices like handsets, notebooks, smart speakers, remote controls, TVs, earbuds, IoT, and wearables and for transport applications.
Read MoreAI/ML Model Development Platform for Embedded MCU IoT Edge Gateway
As billions of devices getting connected to the Internet is not a distant reality anymore, there are more and more number of intelligent gateways needed to act as a backbone of complex infrastructure for internet-of-things (IoT). Need for more gateways are increasing which could work on low power in constrained environments as well as having capability to process as much data as possible, also termed as edge gateway.
Read MoreSpeeding up Deep Learning inference via unstructured sparsity
Serving large neural networks can be expensive. It certainly doesn’t help that neural network size appears to correlate with how useful they are.
Read MoreSilicon Valley execs and Pentagon AI Chief talk AI at the edge
When considering transformational ways to use computer vision on the edge in devices like robots, drones, cameras, and other devices, Booz Allen Hamilton VP Josh Sullivan advises caution, urging people to take security seriously on what’s become a whole new attack vector.
Read MoreAI at the edge is enabling the push toward defect-free factories
If there’s one goal every manufacturer in the multi-trillion-dollar industrial segment shares, it’s operating a factory free from production defects.
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