Intel unveils its second-generation quantum computing control chip

Intel unveiled its second-generation quantum computing control chip during its Intel Labs virtual event today. The chip, codenamed Horse Ridge II, is another milestone toward making quantum computing — one of the holy grails of computing — more practical. The new prototype builds on the first-generation Horse Ridge controller introduced in 2019. Horse Ridge II has more capability and higher levels of integration to control a quantum computer, which remains a long-term goal for the company.

At the outset of the project, Intel’s researchers designed the scalable system-on-chip (SOC) to operate at cryogenic temperatures, simplifying the control electronics and interconnects required to elegantly scale and operate large quantum computing systems. Most quantum computing systems only really works at near-freezing temperatures. Intel is trying to change that, but in the meantime, the control chip eliminates having to run hundreds of wires into a refrigerated case that houses the quantum computer.

Quantum

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Intel upgrades quantum computer ambitions with new control chip

Intel's Horse Ridge 2 chip, packaged in this metal housing, is designed to simplify communications between a quantum processor and conventional computers.

Intel’s Horse Ridge 2 chip, packaged in this metal housing, is designed to simplify communications between a quantum processor and conventional computers.


Intel

Intel unveiled on Thursday its Horse Ridge 2 processor for controlling quantum computers, an important milestone in making the potentially revolutionary machines practical.

The Horse Ridge 2 isn’t a quantum processor itself but is designed to solve the challenges of communicating with future quantum processors with thousands or more qubits. The processor is the second generation of a family that debuted in 2019.

The processor comes as Intel endeavors to catch up with quantum computer rivals like IBM and Google. The chipmaker hopes it eventually will leapfrog the competition with processors housing vastly more qubits, the data processing element fundamental to quantum computers, than its competitors have. Horse Ridge 2

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Amazon debuts Trainium, a custom chip for machine learning training in the cloud

Amazon today debuted AWS Trainium, a chip custom-designed to deliver what the company describes as cost-effective machine learning model training in the cloud. It comes ahead of the availability of new Habana Gaudi-based Amazon Elastic Compute Cloud (EC2) instances built specifically for machine learning training, powered by Intel’s new Habana Gaudi processors.

“We know that we want to keep pushing the price performance on machine learning training, so we’re going to have to invest in our own chips,” AWS CEO Andy Jassy said during a keynote address at Amazon’s re:Invent conference this morning. “You have an unmatched array of instances in AWS, coupled with innovation in chips.”

Amazon AWS Tranium

Amazon claims that Trainium will offer the most teraflops of any machine learning instance in the cloud, where a teraflop translates to a chip being able to process one trillion calculations a second. (Amazon is quoting 30% higher throughput and 45% lower cost-per-inference

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Ethernet PHY Chip Market 2020 Global Industry Size, Share, Technology Trends, SWOT Analysis, Development Pipeline, Top Companies, Forecast to 2026

The MarketWatch News Department was not involved in the creation of this content.

Nov 27, 2020 (AmericaNewsHour) —
Ethernet PHY Chip Market Research Report: by Data Rate (10/100 Mbps, 10/100/1000 Mbps, Greater than or Equal to 10 Gbps), by Number of Ports (Single Port, Dual Port, Others), by Industry Application (Data Center and Enterprise Networking, Consumer Electronics, Industrial Automation, Automotive, Telecom), and Region – Global Forecast till 2026

Market analysis 

Ethernet physical (PHY) layer chips emanate physical simple sign from the gadget to network devices. Selection of 25GB Ethernet-based servers in data centers is anticipated to be the essential driver of the market. This can be ascribed to different information transmission speeds required by end-clients in mechanical and customer driven parts. Development of web of things (IoT) and an extent of online video streaming sites fuel the interest for these servers, which thus can goad the ethernet PHY chip market.

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Apple’s Craig Federighi and Johny Srouji Describe the Genesis of the M1 Chip while Microsoft Reveals their own ‘Pluton’ Processor

 

Yesterday Patently Apple posted a report titled “Apple goes on a Media Blitz to Defend their coming iOS 14 Privacy App that is currently under attack by Advertisers & Facebook.” Both Apple’s Jane C. Horvath, Senior Director, Global Privacy and Craig Federighi, Apple’s SVP of Software Engineering took their stance on privacy public big time as they begin to prepare for an antitrust lawsuit filed by the very ad forces want to kill Apple’s iOS 14 “App Tracking Transparency,” feature set to launch in early 2021.

 

Hours after our report, an article by Ars Technica surfaced focusing on the story behind Apple’s new M1 processor that caused a stir when Apple’s SVP Software Craig Federighi caused a bit of a stir about the possibility of Windows running natively on the M1. How realistic is that is that possibility? We briefly touch on that later in the report. 

 

To be sure

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AMD CEO Lisa Su gets chip industry’s highest honor

Advanced Micro Devices CEO Lisa Su has received the chip industry’s highest honor as the 2020 recipient of the Robert N. Noyce Award.

The Semiconductor Industry Association, the chip industry lobbying group, gave her the award in an online ceremony today. Normally, the event takes place in San Jose, California, and has about 1,000 attendees.

Su’s award represents the first time the award has gone to a woman since it was started in 1991.

“It’s an incredible privilege to be part of this industry,” said Su. “I actually fell in love with semiconductors in my first year at MIT. My first job was doing grunt work in a semiconductor lab. If you look at this year, what is resoundingly clear is that technology is becoming even more important.”

The SIA presents the Noyce Award annually in recognition of a leader who has made outstanding contributions to the semiconductor industry in

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For neural research, wireless chip shines light on the brain — ScienceDaily

Researchers have developed a chip that is powered wirelessly and can be surgically implanted to read neural signals and stimulate the brain with both light and electrical current. The technology has been demonstrated successfully in rats and is designed for use as a research tool.

“Our goal was to create a research tool that can be used to help us better understand the behavior of different regions of the brain, particularly in response to various forms of neural stimulation,” says Yaoyao Jia, corresponding author of a paper on the work and an assistant professor of electrical and computer engineering at North Carolina State University. “This tool will help us answer fundamental questions that could then pave the way for advances in addressing neurological disorders such as Alzheimer’s or Parkinson’s disease.”

The new technology has two features that set it apart from the previous state of the art.

First, it is

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The latest Mac Mini with Apple’s M1 chip is discounted by $30 on Amazon

The model on sale is the base Mac Mini with 8GB of RAM and a 256GB SSD. The upgraded model with a 512GB SSD remains $899, which is the price that Apple’s selling it for as well. Apple announced the new Mac Mini at an event last week in which it also showed off its ARM-based M1 chip that powers the mini as well as new MacBook Airs and MacBook Pros. The latest Mac Mini with M1 runs on an octa-core CPU and an octa-core GPU and Apple claims it will be 60 percent more efficient than the previous mini.

While we haven’t tested the new Mac Mini yet, we did get the chance to review the new M1-powered MacBook Air and it left a strong first impression. We gave it a score of 94 in part for its excellent performance that’s only made more impressive by its fanless design.

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Analysts Top Value Stocks to Buy Include Biotech and Technology Blue Chip Giants

raisbeckfoto / Getty ImagesDuring the almost 11-year run of the bull market, and since the market lows that were posted in March, one thing has remained painfully obvious to long-time investors: value stocks, and indeed the entire group, have woefully underperformed growth. Value stocks are those that tend to trade at a lower price relative to their fundamentals (including dividends, earnings and sales). While the market has performed surprisingly well lately, with potential lockdowns due to the COVID-19 increase and to election uncertainty, it makes sense to look at portfolios and possibly make some adjustments for 2021.

Each week, Jefferies presents some of the top value ideas that the firm has. This week’s group is chock full of very well-known companies that, for a variety of reasons, have landed in value territory. All make sense for investors looking to stay in equities but nervous about the potential for market

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New electronic chip delivers smarter, light-powered AI

IMAGE

IMAGE: The light-powered AI chip – prototype technology that brings together imaging, processing, machine learning and memory.
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Credit: RMIT University

Researchers have developed artificial intelligence technology that brings together imaging, processing, machine learning and memory in one electronic chip, powered by light.

The prototype shrinks artificial intelligence technology by imitating the way that the human brain processes visual information.

The nanoscale advance combines the core software needed to drive artificial intelligence with image-capturing hardware in a single electronic device.

With further development, the light-driven prototype could enable smarter and smaller autonomous technologies like drones and robotics, plus smart wearables and bionic implants like artificial retinas.

The study, from an international team of Australian, American and Chinese researchers led by RMIT University, is published in the journal Advanced Materials.

Lead researcher Associate Professor Sumeet Walia, from RMIT, said the prototype delivered brain-like functionality in one powerful device.

“Our

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