David Bacon, senior software engineer in Googles quantum lab: Quantum computers do computations in parallel universes. This by itself isnt useful. U only get to exist in 1 universe at a time! The trick: quantum computers dont just split universes, they also merge universes. And this merge can add and subtract those other split universes.

David Reilly, principal researcher and director of the Microsoft quantum computing lab in Sydney, Australia: A quantum machine is a kind of analog calculator that computes by encoding information in the ephemeral waves that comprise light and matter at the nanoscale. Quantum entanglement likely the most counterintuitive thing around holds it all together, detecting and fixing errors.

Daniel Lidar, professor of electrical and computer engineering, chemistry, and physics and astronomy at the University of Southern California, with his daughter Nina, in haiku:

Quantum computerssolve some problems much fasterbut are prone to noise

Superpositions:to explore multiple pathsto the right answer

Interference helps:cancels paths to wrong answersand boosts the right ones

Entanglement makesclassical computers sweat,QCs win the race

Scott Aaronson, professor of computer science at the University of Texas at Austin: A quantum computer exploits interference among positive and negative square roots of probabilities to solve certain problems much faster than we think possible classically, in a way that wouldnt be nearly so interesting were it possible to explain in the space of a tweet.

Alan Baratz, executive vice president of research and development at D-Wave Systems: If were honest, everything we currently know about quantum mechanics cant fully describe how a quantum computer works. Whats more important, and even more interesting, is what a quantum computer can do: A.I., new molecules, new materials, modeling climate change

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This Week in Tech: What on Earth Is a Quantum Computer? - The New York Times

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As a new decade approaches, we are in a state of technological flux across many spectrums. One area to take note of is quantum computing. We are starting to evolve beyond classical computing into a new data era called quantum computing. It is envisioned that quantum computing (still in a development stage) will accelerate us into the future by impacting the landscape of artificial intelligence and data analytics. The quantum computing power and speed will help us solve some of the biggest and most complex challenges we face as humans.

Gartner describes quantum computing as: [T]he use of atomic quantum states to effect computation. Data is held in qubits (quantum bits), which have the ability to hold all possible states simultaneously. Data held in qubits is affected by data held in other qubits, even when physically separated. This effect is known as entanglement. In a simplified description, quantum computers use quantum bits or qubits instead of using binary traditional bits of ones and zeros for digital communications.

There is an additional entanglement relating to quantum, and that is its intersection with the Internet of Things (IoT). Loosely defined, the Internet of Things (IoT) refers to the general idea of things that are readable, recognizable, locatable, addressable, and/or controllable via the Internet. It encompasses devices, sensors, people, data, and machines and the interactions between them. Business Insider Intelligence forecasted that by 2023, consumers, companies and governments will install 40 billion IoT devices globally.

As we rapidly continue to evolve into the IoT and the new digital economy, both edge devices and data are proliferating at amazing rates. The challenge now is how do we monitor and ensure quality service of the IoT? Responsiveness, scalability, processes, and efficiency are needed to best service any new technology or capability. Especially across trillions of sensors.

Specifically, quantum technologies will influence: optimization of computing power, computing models, network latency, interoperability, artificial intelligence (human/computer interface), real-time analytics and predictive analytics, increased storage and data memory power, secure cloud computing, virtualization, and the emerging 5G telecommunications infrastructure. For 5G, secure end-to end communications are fundamental and quantum encryption (which generates secure codes) may be the solution for rapidly growing IoT connectivity.

Security of the IoT is a paramount issue. Currently cryptographic algorithms are being used to help secure the communication (validation and verification) in the IoT. But because they rely on public key schemes, their encryption could be broken by sophisticated hackers using quantum computers in the not so distant future.

On the other side of the coin, quantum computing has the ability to create an almost un-hackable network of devices and data. The need to securely encrypt and protect IoT connected devices and power them with exponential speed and analytical capabilities is an imperative for both government and the private sector.

As quantum computing and IoT merge, there will also be an evolving new ecosystem of policy Issues. These include, ethics, interoperability protocols, cybersecurity, privacy/surveillance, complex autonomous systems, best commercial practices.

As quantum computing capabilities advance, we should act now to prepare IoT for the quantum world. There are many areas to explore in research and development and eventually implementation. The coming decade will provide both imperatives and opportunities to explore quantum implications.

Chuck Brooks is a globally recognized thought leader and evangelist for Cybersecurity and Emerging Technologies. LinkedIn named Chuck as one of The Top 5 Tech People to Follow on LinkedIn. He was named by Thompson Reuters as a Top 50 Global Influencer in Risk, Compliance, and by IFSEC as the #2 Global Cybersecurity Influencer in 2018. He is also a Cybersecurity Expert for The Network at the Washington Post, Visiting Editor at Homeland Security Today, and a Contributor to FORBES.

Chuck Brooks, is also Chair of the IoT and Quantum Computing Committee of Quantum Security Alliance. Quantum Security Alliance was formed to bring academia, industry, researchers, and US government entities together to identify, define, collaborate, baseline, standardize and protect sovereign countries, society, and individuals from the far-reaching impacts of Quantum Computing.

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Quantum Trends And The Internet of Things - Forbes

Quantum Computing in recent times has sparkled the discussion around its adoption by companies and even countries. The hype around this, significantly, increased as search engine Google recently announced that it had achieved quantum supremacy. The discussion around quantum computing is also on the rise because countries interest in this has grown considerably. China and the United States vie on many fronts, but in the quantum world, China seems to exceed the US as its investment that consists of quantum computing also includes quantum information systems.

Todays quantum supremacy race delineates the day when quantum computers will be working in the field of medical, automotive, finance, among others in order to solve the knotty problems that classical computers are unable to do. Every time, in the quantum world, a quantum bit (qubit) is added, and the amount of information is doubled.

Googles quantum computer, that has 53 functioning qubits, has proven to be significantly faster than the most powerful classical computer in the world owned by IBM. As per the report, Googles quantum computing system, named Sycamore, was able to solve an intricate problem in 200 seconds. Conversely, it claimed the same issue which otherwise would require conventional computers to solve a span of about 10, 000 years.

Quantum supremacy, that companies and countries are competing for, refers to the point at which a quantum computer can make calculations beyond the most powerful classical computer conceivable. For the last few years, several countries have been pouring massive capital in this space that might be of particular interest.

Two years ago, in 2017, China announced to open a 92-acre National Laboratory for Quantum Information Sciences that is set to become reality by 2020. For this research center, the country sanctioned US$10 billion.

In the same year, a joint, state-sponsored research project with Japans National Institute of Informatics and the University of Tokyo produced the machine, Nippon Telegraph and Telephone (NTT), shared a prototype quantum computer for public use over the internet. On the other hand, in 2017, Sweden invested 1 billion Swedish Krona (nearly US$118 million) into a research initiative with the purpose to build a robust quantum computer.

However, reports claim that the United States has not invested enough in quantum computing. But over the summer, academia and industry showed effort before the U.S. House Subcommittees on Research & Technology and Energy to upsurge investment into it. According to Dr. Christopher Monroe, Quantum Physics professor, U.S. leadership in quantum technology will be critical to the national security and will open new doors for private industry and academia while ensuring Americas role as a global technology leader in the 21st century.

Moreover, two federal initiatives are underway to streamline and coordinate private and public research in quantum computing and other quantum-related projects. The first one is the National Quantum Initiative Act, a law that passed last year and the other one is a White Paper spelling out a national strategy to make sure America maintains supremacy in the technology over its counterparts, particularly China.

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How Countries Are Betting on to Become Supreme in Quantum Computing - Analytics Insight

We presently take great pride in the way we can find directions to anywhere. Gone are the days were the paper-printed maps were our only guides in foreign places, as now all it takes to get from point A to point wherever is a swipe of the finger.

All present-day navigation solutions can direct a car depending on a variety of factors on a number of routes. The problem is none of them take into account what the other cars are doing in real time, and, just when you were about to gloat for having dodged a bottleneck, you find other drivers, lots of them, had the exact same advice served to them by navigation apps.

Quantum computing might help with that, as they are countless times faster, and exactly such a solution was tested by Volkswagen earlier this month at the Web Summit in Portugal.

Using an algorithm called Quantum Routing and a D-Wave quantum computer, Volkswagen showed that nine public transit buses can successfully avoid traffic jams by knowing in real-time where such queues are being formed.

Volkswagen believes quantum computing has the potential to revolutionize how we use and learn from data in the real world, said in a statement Thomas Bartol, senior vice president of Information Technology and Services for Volkswagen Group of America.

Even though the technology is still in its early stages, this demonstration shows its potential, and how Volkswagen plans to play a leading role in bringing these solutions to market.

The tech demonstrated by the Germans in Portugal is nowhere near mass implementation. Volkswagen did announce that it is planning to bring the tools it already showed to market maturity, but it's unclear in what timeframe.

For now, the carmaker is looking for other clogged cities to explore.

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Quantum Computers Are About to Forever Change Car Navigation - autoevolution

Riverlane is inviting submissions for contributed talks at next years inaugural Quantum Computing Theory in Practice (QCTIP) conference 2020 which will take place in Cambridge.

Talks will be selected on the basis of scientific excellence and workshop-friendliness. Topics will include applications and architectures of quantum computers; quantum algorithms; quantum compilation and circuit optimisation; quantum error correction and fault tolerance; simulation of quantum systems; theory of near-term quantum computing; and verification of quantum devices.

QCTIP has emerged from a series of Heilbronn quantum algorithms meetings hosted in Bristol and Cambridge since 2010.

Themes to be explored at the event on April 6-8 at the Centre for Mathematical Sciences start with the theory of the whole quantum software stack, seconded by practical aspects of running experiments on current and NISQ devices, and thirdly scaling up to more and higher-quality qubits.

The programme committee includes Srinivasan Arunachalam of MIT/IBM Research and chair Iordanis Kerenidis, CNRS senior researcher/QCWare. Speakers from IBM Research, Google and Oxford University have been invited.

All submissions for talks must be made online through the EasyChair submission system.

Riverlane is based at St Andrews House in the centre of town and is run by Dr Steve Brierley, has spent 10 years researching algorithms and architectures for quantum computers, most recently as a senior research fellow in applied mathematics at the University of Cambridge. The company writes software for quantum computers, with the software being run on a quantum computer based at Oxford Quantum Circuits.

Theres only 50 quantum computers currently around, and its likely to remain a limited number, says Dr Brierley. Quantum computers are very good at certain things: you wont see one on your phone any time soon, though it might be used to make the chips on the phone run faster.

It costs several million pounds to buy the components to build a quantum computer and you have to get the staff theres very few people who know how to build one. We work with companies that already use computational modelling in design, for instance Merck, which has a performance materials division which includes everything from lip gloss to organic LEDs in a TV.

Dr Brierleys expertise was recently called upon by the Guardian to solve a bit of a spat between Google and IBM. Google announced its Sycamore quantum processor had performed a specific task in 200 seconds that would take the worlds best supercomputer 10,000 years to complete, meaning it had achieved quantum supremacy by exceeding the potential of traditional devices. But in a blog post IBM researchers said the result should be treated with a large dose of scepticism due to the complicated nature of benchmarking an appropriate metric.

Dr Brierley told the Guardian: Its clearly an amazing achievement. I think this is going to be one of those moments when people look back and say, That was the time that really changed this field of quantum computing. It is also a great moment in time to stop talking about quantum supremacy, which has unfortunate historical connotations, and move on to talking about quantum advantage, which has a useful application.

Quantum computing is so new there isnt a standard operating system so Riverlane is writing one.

Its quite difficult because if you write software for one quantum computer it wont work on any other so were currently developing an operating system, which we expect to be complete within 18 months as an initial product, Dr Brierley told the Cambridge Independent. The challenge in the sector is what is the best way to build a quantum computer and this operating system will remove the uncertainty.

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First quantum computing conference to take place in Cambridge - Cambridge Independent

Google and IBM may be battling for quantum supremacy, but Amazon is currently happy to be a middleman today, its announcing and launching a preview of Amazon Braket, its attempt to turn the nascent field of quantum computing into a service you can access over the internet, a month after Microsoft did something similar. Amazon Braket is a fully managed AWS service, with security & encryption baked in at each level, the company explains in a blog post.

For now, it sounds like a pretty limited affair, where you will mean Amazons corporate customers, and where service means the ability to experiment by running simulations on a set of existing quantum computers from partners D-Wave, IonQ, and Rigetti. (IonQ is also a Microsoft Azure Quantum partner.)

This new service is designed to let you get some hands-on experience with qubits and quantum circuits. You can build and test your circuits in a simulated environment and then run them on an actual quantum computer, writes Amazon.

But Amazon says its also creating the AWS Center for Quantum Computing, a physical lab near the California Institute of Technology (Caltech) where it may research quantum computers of its own and more uses for quantum computers, for that matter. The companys director of quantum computing confirmed to Wired that Amazon is working on quantum hardware.

Theoretically, quantum computers could calculate far faster than traditional supercomputers thanks to the fact that their bits can exist in multiple quantum states instead of simply being on (1) or off (0), and thats what Google recently claimed it had achieved with its 54-qubit Sycamore quantum computer. The company says its machine successfully made a calculation that would take the worlds most powerful supercomputer 10,000 years.

But quantum computers are also rare and extremely expensive, so Amazon and Microsoft are each attempting to turn them into a shared, managed, and potentially scalable resource, like Amazon already does with its highly valuable AWS cloud computing platform. That invisible server empire serves as backbone for many of the internet services you use today.

Update, 8:56 PM ET: Id missed that Microsoft also announced a similar Azure Quantum service last month, and Ive updated to mention it.

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Amazon is now offering quantum computing as a service with Braket for AWS - The Verge

re:Invent In advance of its Las Vegas-based re:Invent confab this week, Amazon Web Services announced a handful of additions to a product menu that at last count included more than 165 distinctive ways to be billed.

The preliminary data dump coincided with Midnight Madness, a Sunday evening event that Amazon's rent-a-server biz describes as "an AWS-style pep rally to kick off the week and welcome our most dedicated fans."

The biz teased an update to its AI-powered DeepRacer toy called DeepRacer Evo. The addition of the extra word "Evo" heralds the addition of a stereo camera and a Light Detection and Ranging (LIDAR) sensor.

These sensors can be used to integrate obstacle detection and avoidance into the vehicle's machine learning model. AWS is also adding eight additional races in five countries, not to mention 18 extra virtual races, to its DeepRacer League.

Car trainers have also gained the ability to create their own virtual Community Races in the DeepRacer web console. This week, AWS us holding its 2019 Championship Cup Knockouts at re:Invent 2019 for 64 contestants.

Evidently sold on the idea of AI-infused kit in addition to DeepRacer, AWS also offers DeepLens, for machine learning-based computer vision AWS debuted DeepComposer, a 32-key, 2-octave keyboard for making music with AI models. It's not available yet but aspiring robo-maestros can sign up to be notified when it hits the market, and we'll have a more in-depth look at it soon.

Following up on 2017's Amazon Transcribe service, there's now Amazon Transcribe Medical, a cloud service that, through a suitably enabled app, can ingest audio files and return transcribed text to a physician, an electronic health record system, or an AWS language service like Amazon Comprehend Medical, in the event that entity extraction might be helpful. AWS insists its transcription service is highly accurate and has been tuned to pick up medical jargon.

For what it's worth, a test conducted in June by a competing transcription provider, Rev, found that Amazon Transcribe flubbed 18 per cent of words.

The Midnight Madness news dump also brought word of a streamlined bring-your-own-license procedure for customers intent on creating EC2 instances using existing Microsoft Windows Server and SQL Server licenses.

Previously, AWS required customers to expend a bit of effort to automate the process; the new way of doing things is simpler and is available now in the US-East (Northern Virginia) and US-West (Oregon) regions, with availability elsewhere coming soon.

AWS is also opening up a life support system for legacy Windows workloads. It has launched a program called End-of-Support Migration Program (EMP) for Windows Server to provide customers committed to running Windows Server 2008 and 2008 R2 past their January 14, 2020 retirement date.

Meanwhile, its SageMaker cloud-based machine learning platform has been extended with Kubernetes operators that make SageMaker capabilities that support ML-model training, tuning, and inference natively available in Kubernetes clusters.

And there's also a new service called EC2 Image Builder that simplifies and accelerates the building and maintenance of secure operating system images for Windows Server and Amazon Linux 2 using automated build pipelines.

Separately, AWS debuted a quantum computing testbed called Amazon Braket, that allows researchers to build and evaluate quantum circuits in a simulated environment - via an interactive Jupyter-style notebook - on quantum hardware made by D-Wave, IonQ, and Rigetti.

In a blog post, Jeff Barr, chief evangelist for Amazon Web Services, announced the formation of the AWS Center for Quantum Computing, a facility located next to the Caltech campus, for advancing quantum computing science.

He also mentioned the formation of the Amazon Quantum Solutions Lab, which aims to help customers understand and identify potential uses for quantum computing in their businesses and to point them toward spending money with AWS and its quantum computing partners.

In a phone conversation on Friday with The Register correspondent Tim Anderson, who's attending the event, Sig Nag, Gartner Research VP of cloud services and technologies, said he anticipates partnership deals similar to those Microsoft announced with AT&T, Salesforce, and SAP recently. "I also expect them to up their game beyond infrastructure," he said, adding "we may see some announcements around AI and ML."

Asked about how AWS is likely to respond to Google's claim to have the best Kubernetes implementation, Nag said, "They have to do something there. Anthos at Google is pretty interesting."

Nag also said AWS Outposts, which has been announced but isn't yet available, could help. It's a way to run AWS services on-premises. "An enhancement of Outposts to support Kubernetes would be interesting," he said. "I think were going to see some more announcements around Outposts."

Nag contends that AWS needs to bolster its software-as-a-service strategy. "They havent done much around SaaS yet," he said. "They have a cloud marketplace for third-party software. We might see some more narrative around supporting multi-cloud which is becoming pretty hot."

Sponsored: From CDO to CEO

The rest is here:

AWS re:Invent re:turns with re:vised robo-car and Windows Server 2008 re:vitalization plan - The Register

A team of researchers at The University of Texas at Austin and the University of California, Riverside have found a way to produce a long-hypothesized phenomenonthe transfer of energy between silicon andorganic, carbon-based moleculesin a breakthrough that has implications for information storage in quantum computing, solar energy conversion and medical imaging. The research is described in a paper out today in the journalNature Chemistry.

Silicon is one of the planets most abundant materials and a critical component in everything from the semiconductors that power our computers to the cells used in nearly all solar energy panels.For all of its abilities, however, siliconhas some problems when it comes to converting light into electricity.Different colors of light are comprised of photons,particles that carry lights energy. Silicon can efficiently convert red photons into electricity, but withblue photons, whichcarry twice the energy of red photons, siliconloses most oftheenergy as heat.

The new discoveryprovides scientists with a way to boost silicons efficiency by pairing it with a carbon-based material that converts blue photons intopairs of red photons that can be more efficiently used by silicon.This hybrid material can also be tweaked to operate in reverse, taking in red lightand converting it into blue light, which has implications formedical treatmentsand quantum computing.

The organic molecule weve paired silicon with is a type of carbon ash calledanthracene. Its basically soot, saidSean Roberts, a UT Austin assistant professor of chemistry. The paper describesamethod for chemically connecting silicon to anthracene, creating a molecular power line thatallowsenergy to transfer between the silicon and ash-like substance. We now can finely tune this material to react to different wavelengths of light. Imagine, for quantum computing, being able to tweak and optimize a material to turn one blue photon into two red photons or two red photons into one blue. Its perfect for information storage.

For four decades, scientists have hypothesized that pairing silicon with a type of organic material that better absorbs blue and green light efficiently could be the key to improving siliconsability to convert light into electricity. But simply layering the two materials never brought about the anticipatedspintriplet exciton transfer,a particular type of energy transfer fromthe carbon-based material to silicon,needed to realize this goal. Roberts and materials scientists at UC Riverside describe howthey broke through the impasse with tiny chemical wires that connect silicon nanocrystals toanthracene, producing the predicted energy transfer between them for the first-time.

The challenge has been getting pairs of excited electrons out of these organic materials and into silicon. It cant be done just by depositing one on top of the other, Roberts said. It takesbuilding a new type of chemical interface between the silicon and this material to allow them to electronically communicate.

Roberts and his graduate student EmilyRaulersonmeasured the effect in a specially designed molecule that attaches to a silicon nanocrystal, the innovation of collaborators Ming Lee Tang, LorenzoMangoliniand Pan Xia of UC Riverside. Using an ultrafast laser, Roberts andRaulersonfound that the new molecular wire between the two materials was not only fast, resilient and efficient, itcould effectivelytransfer about 90% of the energy from the nanocrystal to the molecule.

We canuse this chemistrytocreate materials thatabsorb and emit anycolorof light, saidRaulerson, who says that, with further fine tuning, similar silicon nanocrystals tethered to a molecule could generate a variety of applications, from battery-less night-vision goggles to new miniature electronics.

Other highly efficient processes of this sort, called photon up-conversion, previously relied on toxic materials. As the new approach uses exclusively nontoxic materials, it opens the door for applications in human medicine, bioimaging and environmentally sustainable technologies, something thatRoberts and fellow UT Austin chemist Michael Rose are working towards.

At UC Riverside, Tangs lab pioneered how to attach the organic molecules to the silicon nanoparticles, andMangolinisgroup engineered the silicon nanocrystals.

The novelty is really how to get the two parts of this structurethe organic molecules and the quantum confined silicon nanocrystalsto work together, saidMangolini, an associate professor of mechanical engineering. We are the first group to really put the two together.

The papers other authors include Devin Colemanand CarterGerkeof UC Riverside.

Funding for the research was provided by the National Science Foundation, the Robert A. Welch Foundation, the Research Corporation for Science Advancement, the Air Force Office of Scientific Research and the Department of Energy. Additionally,Raulersonholds the Leon O. Morgan Graduate Fellowship at UT Austin.

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Researchers Discover New Way to Split and Sum Photons with Silicon - UT News | The University of Texas at Austin

DUBLIN--(BUSINESS WIRE)--The "AI Chipsets for Wireless Networks and Devices, Cloud and Next Generation Computing, IoT, and Big Data Analytics 2019 - 2024" report has been added to ResearchAndMarkets.com's offering.

This report evaluates leading market players across the AI chipsets ecosystem, technology strategies, and solution plans. This includes leveraging AI chipsets for support of various emerging and disintermediating technology areas such as edge computing, 5G, and blockchain systems. Additional areas addressed include AI support of emerging computing technologies including edge platforms and servers.

The AI chipset marketplace is poised to transform the entire embedded system ecosystem with a multitude of AI capabilities such as deep machine learning, image detection, and many others. With 80% of all chipsets globally shipping AI-equipped, nearly one-half of all electronics will have some form of imbedded intelligence by 2024. This will also be transformational for existing critical business functions such as identity management, authentication, and cybersecurity.

Multi-processor AI chipsets learn from the environment, users, and machines to uncover hidden patterns among data predict actionable insight and perform actions based on specific situations. AI chipsets will become an integral part of both AI software/systems as well as critical support of any data-intensive operation as they drastically improve processing for various functions as well as enhance overall computing performance. This will be a boon for many aspects of ICT ranging from decision support and data analytics to product safety and system optimization.

Consumers will realize benefits indirectly through improved product and service performance such as device and cloud-based gaming. Enterprise and industrial users will benefit through general improvements in automated decision-making, especially in the areas of robotic process automation, decision support systems, and overall data management. AI chipsets will be particularly useful for business edge equipment for real-time data analytics and store versus processing decisions.

This report also assesses applications and service support scenarios for AI chipsets across almost all major industry verticals. The report provides forecasts for AI chipset hardware, embedded software, professional service, deployment platforms, and applications for every major industry vertical as well as regional and country forecasts for 2019 to 2024. The report also provides exclusive recommendations for stakeholders within the AI chipsets ecosystem.

Select Report Findings:

Key Topics Covered:

1.0 Executive Summary

2.0 Research Overview

2.1 Research Objectives

2.2 Select Findings

3.0 AI Chipsets Introduction

3.1 AI Chipsets

3.1.1 Chipset Components

3.1.2 General Purpose Applications

3.2 AI Systems

3.3 Market Dynamics Analysis

3.4 AI Investments

3.5 Competitive Market

4.0 Technologies, Solutions, and Markets

4.1 Chipsets Technology and Products

4.2 AI Technology

4.2.1 Machine Learning

4.2.2 Machine Learning APIs

4.2.3 Deep Machine Learning

4.2.4 Natural Language Processing

4.2.5 Computer Vision

4.2.6 Voice Recognition

4.2.7 Context Awareness Computing

4.2.8 Neural Networks

4.2.9 Facial Recognition

4.3 Deployment Platform

4.4 IoT Sector

4.5 Applications in Industry Verticals

4.6 Regional Markets

4.7 Value Chain

4.8 5G Network and Edge Computing

4.9 Cloud Computing and Data Analytics

4.10 Industry 4.0 and Factory Automation

4.11 Autonomous Networks

4.12 Blockchain Networks

4.13 Quantum Computing

4.14 Machine Intelligence

4.15 Nanoscale Technology

4.16 Mobile Network Operators

5.0 Company Analysis

5.1 NVIDIA Corporation

5.2 IBM Corporation

5.3 Intel Corporation

5.4 Samsung Electronics Co Ltd.

5.5 Microsoft Corporation

5.6 Baidu Inc.

5.7 Qualcomm Incorporated

5.8 Huawei Technologies Co. Ltd.

5.9 Fujitsu Ltd.

5.10 Softbank Group Corp. (ARM Limited)

5.11 Apple Inc.

5.12 Amazon Inc. (AWS)

5.13 SK Telecom

5.14 Inbenta Technologies Inc.

5.15 Microchip Technology Inc.

5.16 Texas Instruments Inc.

5.17 Advanced Micro Devices (AMD) Inc.

5.18 XILINX Inc.

5.19 Micron Technology

5.20 AIBrain Inc.

5.21 General Vision Inc.

5.22 Sentient Technologies Holdings Limited

5.23 Graphcore

5.24 Analog Devices Inc.

5.25 Cypress Semiconductor Corp

5.26 Rohm Semiconductor

5.27 Semtech Corporation

5.28 NXP Semiconductors N.V.

5.29 STMicroelectronics

5.30 MediaTek Inc.

5.31 Renesas Electronics Corporation

5.32 ZTE Corporation

5.33 NEC Corporation

5.34 Broadcom Corporation

5.35 Integrated Device Technology (IDT) Inc.

5.36 Toshiba Corporation

5.37 Adapteva Inc.

5.38 Applied Materials Inc.

5.39 Bitmain Technologies Inc.

5.40 Cambricon Technologies Corporation Limited

5.41 DeePhi Tech

5.42 Gyrfalcon Technology Inc.

5.43 Horizon Robotics

5.44 Mythic

5.45 Tenstorrent Inc.

5.46 Wave Computing

5.47 Mellanox Technologies

5.48 Koniku

5.49 Numenta Inc.

5.50 Imagination Technologies Limited

5.51 Synopsys Inc.

5.52 SenseTime

5.53 Marvell Technology Group Ltd.

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Global AI Chipsets Markets 2019-2024 for Wireless Networks and Devices, Cloud and Next Generation Computing, IoT, and Big Data Analytics -...