TOKYO — AI processor designer Blaize, formerly known as ThinCI (pronounced Think-Eye”), revealed its fully programmable Graph Streaming Processor (GSP) will go into volume production in the second quarter of 2020.

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时间:2021-06-14 01:09:36 来源:网络整理编辑:Vishay / Spectrol

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TOKYO — AI processor designer Blaize, formerly known as ThinCI (pronounced Think-Eye”), revealed its fully programmable Graph Streaming Processor (GSP) will go into volume production in the second quarter of 2020.

TOKYO — AI processor designer Blaize, formerly known as ThinCI (pronounced Think-Eye”), revealed its fully programmable Graph Streaming Processor (GSP) will go into volume production in the second quarter of 2020.

Riches posed the most pertinent question: Can the leviathan that is VW create the internal agility and flexibility required so that managing tens or hundreds of internal teams is actually less complex and error-prone than managing the same number of external suppliers?” 

— Junko Yoshida, Global Co-Editor-In-Chief, AspenCore Media, Chief International Correspondent, EE Times

9962-4700_Datasheet PDF

During Arm TechCon in Santa Clara this week, a group of automotive and technology companies, including Bosch, Continental, Denso, General Motors,  Nvidia, NXP Semiconductors and Toyota, declared their support for the newly launched Arm-led Autonomous Vehicle Computing Consortium, Inc. (AVCC).

The group, organized quietly over the past two months, plans to develop a set of APIs that sits above underlying autonomous vehicle (AV) hardware, Armando Pereira, President of AVCC, told EE Times. Our focus is predominantly on hardware.”

The consortium’s goal is to optimize semiconductor solutions by writing a standard set of common requirements for hardware. Those in the AV industry are seeing a huge opportunity in it, because they want to develop AVs that are less power hungry, and that can be manufactured at scale,” said Pereira.

9962-4700_Datasheet PDF

Phil Magney, founder and principal at VSI Labs, sees the formation of AVCC as inevitable. It signals that developers, OEMS and even suppliers are finally agreeing that collaboration may be necessary.”

Today, designing and developing an AV stack is a tough task because a thousand combinations of hardware produce the same results, he explained. Calling an AV a system of systems,” Magney said AV designers must deal with so many processor types, memory types and supporting logic, Who’s to say they got it right?”

9962-4700_Datasheet PDF

In other words, a confluence of future uncertainties has pressed key players to see the value in flocking together.

Too many wildcards” and too many expensive bets” have already characterized the fledgling field of AV. Asked about AVCC members, Magney said, All the companies that are members are well along in their own development of AV stacks and have already invested millions but there is no guarantee. Furthermore, many of the largest companies, including those initial members, may not be satisfied with their efforts thus far. Even GM and Toyota who have invested billions are not certain their solutions will prevail.” 

Asked about the company’s long-term vision, Melamed said the goal is to provide affordable 4D radar imaging sensors that will positively impact people’s everyday lives in different industries such as elderly care, automotive safety and experience, homeland security, and medical.”

In terms of collaborations, Melamed said Vayyar is currently working with SoftBank, Valeo Faurecia, Brose, along with several exciting premier and Tier-1 brands that we hope to announce in 2020.”

Applications for lithium-ion batteries are expanding in many industrial markets. Their use has made it necessary to reuse and recycle the electrical storage technology. Panasonic Corp. has developed a new battery management solution that measures electrochemical impedance, allowing it to assess the residual value of lithium-ion batteries in the devices.

Lithium-ion batteries required several years of theoretical and experimental study before being marketed. In recent years, the efficiency of the batteries, in terms of how much energy they can deliver compared to their size and weight, has been greatly improved. Researchers are facing additional challenges to continue improving power density, durability, costs, recharge times, safety, and recycling. Electrical performance monitoring through battery monitoring integrated circuits (BMIC) or battery monitoring systems (BMS) is the key to the ongoing success of applications with lithium-ion batteries.

Conventional BMIC measures the individual battery voltage from 6 to 14 lithium-ion cells stacked in series. By using several BMICs, it is possible to acquire data on the voltage of the battery cells connected in series, thus ensuring safe use. Furthermore, it calculates the remaining autonomy and the available time by estimating the state of charge (SOC) and the state of health (SOH). The BMS manages the entire array of lithium cells (single cells or entire battery packs), determining a safe operating area, within which the battery pack guarantees the best technical and energy performance.