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12. Change the supply chain, but can you diversify the customer base?Factories may rumble back into action, but companies continue to face labor shortages, Yole’s Eloy told Pele.  This is particularly affecting the electronics manufacturing services (EMS) companies, compared to the front-end manufacturing where there is a lot of automation.”

The 2002 voting law also provided funding to states to purchase new voting technologies. But vendors showed little understanding when it came to designing equipment that would comply with the law in a reliable way,” Blaze said. The same was true for design considerations in the certification of election equipment.

The market for VR and AR gear is projected to grow to $18.8 billion by the end of this year, according to Statista. That includes mostly headsets and glasses, but also handhelds, wearables and body cameras.

 

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The 2002 voting law also provided funding to states to purchase new voting technologies. But vendors showed little understanding when it came to designing equipment that would comply with the law in a reliable way,” Blaze said. The same was true for design considerations in the certification of election equipment.

The market for VR and AR gear is projected to grow to $18.8 billion by the end of this year, according to Statista. That includes mostly headsets and glasses, but also handhelds, wearables and body cameras.

 

AI/ML processors can be relatively simple, and therefore relatively cheaper, and we now have AI/ML processors that are powerful enough to train pretty rapidly, even on enormous data sets. All of that is making it easier to push machine learning farther out into the network edge, Dean explained. A specific example is speech recognition; Dean said that as of 2019 Google has had a pretty compact model that works on smartphones.

The company was formed to take on Intel in the data center, and the new Altra processor is the result. Altra can scale up to 80 cores — Ampere says it is the industry’s first 80-core server CPU.”

After keeping its ISA under lock and key for decades, finally last October Arm announced that it would allow customers to build their own custom instructions for handling specialist workloads such as machine learning. This capability, in the right hands, may also offer the opportunity to further reduce power consumption.

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The market for VR and AR gear is projected to grow to $18.8 billion by the end of this year, according to Statista. That includes mostly headsets and glasses, but also handhelds, wearables and body cameras.

 

AI/ML processors can be relatively simple, and therefore relatively cheaper, and we now have AI/ML processors that are powerful enough to train pretty rapidly, even on enormous data sets. All of that is making it easier to push machine learning farther out into the network edge, Dean explained. A specific example is speech recognition; Dean said that as of 2019 Google has had a pretty compact model that works on smartphones.

The company was formed to take on Intel in the data center, and the new Altra processor is the result. Altra can scale up to 80 cores — Ampere says it is the industry’s first 80-core server CPU.”

 

AI/ML processors can be relatively simple, and therefore relatively cheaper, and we now have AI/ML processors that are powerful enough to train pretty rapidly, even on enormous data sets. All of that is making it easier to push machine learning farther out into the network edge, Dean explained. A specific example is speech recognition; Dean said that as of 2019 Google has had a pretty compact model that works on smartphones.

The company was formed to take on Intel in the data center, and the new Altra processor is the result. Altra can scale up to 80 cores — Ampere says it is the industry’s first 80-core server CPU.”

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AI/ML processors can be relatively simple, and therefore relatively cheaper, and we now have AI/ML processors that are powerful enough to train pretty rapidly, even on enormous data sets. All of that is making it easier to push machine learning farther out into the network edge, Dean explained. A specific example is speech recognition; Dean said that as of 2019 Google has had a pretty compact model that works on smartphones.

The company was formed to take on Intel in the data center, and the new Altra processor is the result. Altra can scale up to 80 cores — Ampere says it is the industry’s first 80-core server CPU.”

The company was formed to take on Intel in the data center, and the new Altra processor is the result. Altra can scale up to 80 cores — Ampere says it is the industry’s first 80-core server CPU.”

After keeping its ISA under lock and key for decades, finally last October Arm announced that it would allow customers to build their own custom instructions for handling specialist workloads such as machine learning. This capability, in the right hands, may also offer the opportunity to further reduce power consumption.

The report also notes that 25% of the entire AI chipset market in 2019 was used to understand language using NLP (natural language processing) algorithms. This application, used to power smart speakers, automotive infotainment systems and voice controlled appliances and IoT devices, will grow 35% by 2026, the report said.

The System Plus teardown/cost estimate does not include the cost of software development for automated vehicles. However, the use of an FPGA (Altera Cyclone) inside zFAS shows Audi’s attempt to preserve the own software assets it had already developed.