Workday CEO says HR company has a blockchain solution that will be key to finding a job – CNBC

Posted on January 23, 2020 by admin

Workday co-founder and CEO Aneel Bhusri has been a success. He started the human resources technology company in 2005 and has grown it to a stock market valuation over $40 billion. His own net worth is valued by Forbes in the billions. He sees technology playing a big role in the success of all workers in the future. In particular, machine learning and the blockchain.

"Blockchain is a technology looking for a problem to solve. We found one to solve, which is credentials," Bhusri told the anchors of CNBC's "Squawk Box" from the World Economic Forum in Davos, Switzerland, on Thursday.

"Employees can go from company to company and carry credentials with them in a private network. It can't be edited by an outside source," he said.

The blockchain would prevent the ability of job seekers to lie about their professional and educational histories, which has been a pervasive problem, even up to the level of CEOs, on platforms like LinkedIn and for background-check firms that work with hiring companies. Workday has a partnership with First Advantage for background-screening technology.

"Whatever information you want to carry ... it gives employees power over data," Bhusri said. "Universities can also make sure that diplomas cited by job seekers are real."

The education sector is moving in this direction. One example is Blockcerts, a platform developed at MIT that can be used for creating, issuing, viewing and verifying blockchain-based educational certificates.

While many talk about AI, Bhusri said he prefers to talk about machine learning and how its predictive power will change the job market of the future.

"AI gives people images of the Terminator, and that's not the world we live in. Machine learning lets you make predictions ... sifting through massive amounts of data. ... Humans are great at making judgments."

Bhusri said the predictive power of machine learning will allow humans to then make great judgments, and that process will become important to finding the right job fit.

"AI will predict the right next move in your career," Bhusri said.

The WorkDay CEO is not alone in focusing on this opportunity. IBM has in recent years been exploring ways its artificial intelligence technology, Watson, can lead to a revolution in the human resources department. IBM claims to have technology that can predict when an employee is going to quit, as well as matching employees up to better potential opportunities. Its CEO has claimed that the predictive technology works with up to 95% accuracy.

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Workday CEO says HR company has a blockchain solution that will be key to finding a job - CNBC

Speech on Blockchain and Cryptography by Yang Zhenning at Henan Province – The Coin Republic

Posted on January 22, 2020 by admin

Parth Vig Tuesday, 21 January 2020, 04:31 EST Modified date: Tuesday, 21 January 2020, 04:31 EST

Cryptography is the technology that is the next generation of security management. It has been made famous worldwide and spoken about everywhere. As an initiative to strengthen this, a special lecture on cryptographic applications and blockchain technology in Henan Province held in Zhengzhou on 19th January.

More than 500 people, comprising of members of provincial government-owned enterprises, the informatization departments of colleges and universities, and commercial password practitioners attended the speech headed by Professor Yang Zhenning of Tsinghua University Advanced Research Institute.

He is also an academician of the Chinese Academy of Sciences and a member of the International Cryptographic Association.

The Wang Xiaoyun Henan Provincial Cryptographic Administration invited him for a speech for a better knowledge of cryptography and blockchain. Wang mentions that the year 2020 is the first year when China would see the full implementation of the Cryptography Law of the Peoples Republic of China.

Wang made crystal clear points and spoke in such a manner that was persuasive and easy to understand. She mentions the need for the technology for security measures is a must; thus, focussing on cryptography, the development, and application of password standards and hash functions.

Also, she specifies the need for the importance of security in networks and also enlightened the crowd regarding the aspects of blockchain technology.

In conclusion, the people who witnessed the lecture said that they could have a deeper understanding of the technologies of cryptography and blockchain. They had a clear vision of the need for the advancement of these technologies for the future.

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Quantum Cryptography Market – Report serves as a Repository of Analysis and Information for every Facet of the Market 2025 – Media Releases – CSO…

Posted on January 22, 2020 by admin

The report offers an unbiased opinion about the factors that likely to drive the global quantum cryptography market and restrain it. The study contains a brief profile of key players in the industry and their upcoming market plans and current developments.

The global quantum cryptography market is expected to grow from USD 107.02 Million in 2017 to USD 759.51 Million by 2025 at a CAGR of 39.61% during the forecast period from 2018-2025, according to the new report published by Fior Markets. The rising cyber-attack occurrences due to growing digitalization, increasing cyber security investments, and sprouting next-generation wireless network technologies is driving the market growth.

Solutions segment valued around USD 60.82 Million in 2017

Component segment covers solutions and services. The solutions segment valued around USD 60.82 Million in 2017 due to increasing need to encrypt critical information without any leakage. The increasing deployment of cloud and IoT technologies as well as wireless network technologies has majorly increased the demand for the quantum cryptography solutions.

IT and telecom segment is held largest market share of 23.11% in 2017

Vertical segment is divided into government and defense, BFSI, retail, healthcare, automotive, IT and telecom, and others. IT and telecom segment dominated the market with the market size of USD 24.73 Million in 2017. This increasing industry size was due to necessity for secured network owed to network vulnerabilities and privacy concerns. With the help of quantum cryptography, third party is unable to encrypted data and this has increased deployment and integration of quantum cryptography systems. This will decreased the cyber security attacks and will further lead to the growth of IT and telecom segment in future.

Network security segment is anticipated to hold market share of 38.32% over the forecast period

Application segment is segmented into database encryption, application security, and network security. Network security segment is anticipated to hold market share of 38.32% over the forecast period. Here, contributing factors are demand for integrity and usability of networks, prevention and misuse due to unauthorized access, and denial of network-accessible resources.

DOWNLOAD FREE SAMPLE REPORT AThttps://www.fiormarkets.com/report-detail/376071/request-sample

Regional Segmentation Analysis:

The market is analysed on the basis of five regions namely North America, Europe, Asia Pacific, South America, and Middle East and Africa. North America region valued around USD 36.80 million in 2017. Increasing cyber-attacks, presence of major players, higher adoption of encryption-based application, and rapid technological advancements are some of the factors that led to the growth of quantum cryptography market in North America region.

Competitive Analysis:

The major players of market include Key players in the quantum cryptography market are QuintessenceLabs, QuantumCTek, ID Quantique, Quantum Xchange, Crypta Labs, Qubitekk, Post-Quantum, Aurea Technologies, qutools, Infineon, Mitsubishi Electric, IBM, NuCrypt, Qasky, MagiQ Technologies, ISARA, QuNu Labs, HP, NEC, Toshiba, and Microsoft, others.

Customization of the Report:The report can be customized as per client requirements. For further queries, you can contact us onsales@fiormarkets.comor +1-201-465-4211. Our executives will be pleased to understand your requirements and offer you the best-suited reports.

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ASC20 Finals to be Held in Shenzhen, Tasks Include Quantum Computing Simulation and AI Language Exam January 21, 2020 – Quantaneo, the Quantum…

Posted on January 22, 2020 by admin

ASC20 set up Quantum Computing tasks for the first time. Teams are going to use the QuEST (Quantum Exact Simulation Toolkit) running on supercomputers to simulate 30 qubits in two cases: quantum random circuits (random.c), and quantum fast Fourier transform circuits (GHZ_QFT.c). Quantum computing is a disruptive technology, considered to be the next generation high performance computing. However the R&D of quantum computers is lagging behind due to the unique properties of quantum. It adds extra difficulties for scientists to use real quantum computers to solve some of the most pressing problems such as particle physics modeling, cryptography, genetic engineering, and quantum machine learning. From this perspective, the quantum computing task presented in the ASC20 challenge, hopefully, will inspire new algorithms and architectures in this field.

The other task revealed is Language Exam Challenge. Teams will take on the challenge to train AI models on an English Cloze Test dataset, vying to achieve the highest test scores. The dataset covers multiple levels of English language tests in China, including the college entrance examination, College English Test Band 4 and Band 6, and others. Teaching the machines to understand human language is one of the most elusive and long-standing challenges in the field of AI. The ASC20 AI task signifies such a challenge, by using human-oriented problems to evaluate the performance of neural networks.

Wang Endong, ASC Challenge initiator, member of the Chinese Academy of Engineering and Chief Scientist at Inspur Group, said that through these tasks, students from all over the world get to access and learn the most cutting-edge computing technologies. ASC strives to foster supercomputing & AI talents of global vision, inspiring technical innovation.

Dr. Lu Chun, Vice President of SUSTech host of the ASC20 Finals, commented that supercomputers are important infrastructure for scientific innovation and economic development. SUSTech makes focused efforts on developing supercomputing and hosting ASC20, hoping to drive the training of supercomputing talent, international exchange and cooperation, as well as inter discipline development at SUSTech.

Furthermore, during January 15-16, 2020, the ASC20 organizing committee held a competition training camp in Beijing to help student teams prepare for the ongoing competition. HPC and AI experts from the State Key Laboratory of High-end Server and Storage Technology, Inspur, Intel, NVIDIA, Mellanox, Peng Cheng Laboratory and the Institute of Acoustics of the Chinese Academy of Sciences gathered to provide on-site coaching and guidance. Previous ASC winning teams also shared their successful experiences.

Reflecting on APAC Data Protection and Cyber-security Highlights for 2019 (and what lies ahead!) – Data Protection Report

Posted on January 22, 2020 by admin

2019 saw continued growth and change in data protection and cyber-security across the Asia-Pacific. Following the implementation of the GDPR in May, 2018, many jurisdictions moved to review and strengthen existing data privacy and cyber-security laws. In addition, 2019 saw regulators publishing findings in respect of some of the largest data incidents of 2018. We have set out below the key highlights of the year and what to look out for in 2020.

Singapores Personal Data Protection Commission (PDPC) imposed the highest fines to date in respect of a cyber-attack on SingHealths patient database system affecting 1.5 million patients. SingHealth was fined S$250,000 as the data controller, and its contractor was fined S$750,000 for failing to take adequate security measures to protect personal data in its possession.

Japan

The European Commission adopted its adequacy decision in respect of Japan, finding that Japan provides a comparable level of protection of personal data to that in the European Union. This decision enables personal data to flow freely between the two jurisdictions without the need for additional safeguards.

Vietnam

Vietnams Law on Cybersecurity came into effect giving authorities greater power to investigate users of online content and censor content published online. Data localisation requirements are also imposed on foreign service providers.

Taiwan

Taiwans Information and Communication Security Management Act came into effect introducing the regulation of information and communication security management and cyber-security.

Chinas Draft of the Information Security Technology Personal Information Security Specification was issued for public comment. The draft Specification updates the earlier Specification which came into effect on 1 May, 2018 and proposes further requirements in respect of personal data protection including the right to be forgotten and the right to portability. As at the date of this article, the draft Specification has been further revised but not yet been finalised.

China

As at the date of this article, both draft Measures are yet to be finalised and there is no definitive timeline by which the final version of theMeasureswill be issued and implemented.

Singapore

Singapores PDPC released a consultation paper to seek feedback on proposed amendments to the Singapores Personal Data Protection Act (PDPA) including introducing data portability and data innovation provisions. The proposed data portability provisions will give individuals more control over their personal data while the data innovation provisions make clear that organisations will be able to use personal data for appropriate business purposes without consent.

Sri Lanka

Sri Lankas Ministry of Digital Infrastructure and Information Technologypublished the Cyber Security Bill, 2019. This Bill looks to protect vital information, essential services and critical infrastructure from cyber-attacks and proposes establishing a Cyber Security Agency, Computer Emergency Readiness Team and a National Cyber Security Operations Centre. Public consultations in respect of the Bill are still ongoing.

Hong Kongs Privacy Commissioner for Personal Data served an enforcement notice in respect of a data incident resulting in unauthorised access to the personal data of approximately 9.4 million individuals.

China

Chinas Draft Measures on Security Assessment of Cross-Border Transfer of Personal Information were issued for public comment. The draft Measures lay down stricter requirements in relation to cross-border transfers of personal data with the intention to better safeguard internet users rights, public interests and national security. As at the date of this article, the draft Measures have not yet been finalised.

Sri Lanka

Sri Lankas Ministry of Digital Infrastructure and Information Technologypublished the Data Protection Bill, 2019, which, if enacted, will be Sri Lankas first specific data privacy regime. The aim of this Bill is to protect personal data, enhance consumer confidence and ensure the growth of Sri Lankas digital democracy and innovation. Public consultations in respect of the Bill are still ongoing.

Chinas revised Draft Cryptography Law was introduced for public comment. The draft Law lays down a number of general requirements in relation to cryptography classification, usage, promotion, and protection. The draft Law also introduces specific requirements for certain Critical Information Infrastructure (CII) operators to use cryptography products or services. The final Law was promulgated on 26 October 2019 and took effect on 1 January 2020.

New Zealands Bill amending the Privacy Act had its second reading in parliament. The Bill proposes stronger powers for the Privacy Commissioner, mandatory breach notifications and increased fines. The Bill is likely to come into force in 2020.

Singapores PDPC released a new Guide to Notification under the PDPA which contains information and examples on good practices which organisations may adopt when notifying individuals about personal data protection policies and practices. The Guide is a predecessor to impending amendments to Singapores PDPA to introduce a mandatory data breach notification regime in Singapore.

Singapores PDPC released a new chapter on cloud services to the Advisory Guidelines to provide clarity on the responsibilities of organisations using cloud services to process personal data in the cloud, as well as the responsibilities of cloud service providers when processing personal data on behalf and for the purposes of organisations.

Japans data protection authority, the Personal Information Protection Commission, published an outline of proposed amendments to the Act on the Protection of Personal Information. The proposed amendments include extending the rights of individuals in respect of personal data that has been provided to third parties, mandatory breach reporting, and strengthening regulations relating to cross-border transfers. The draft bill is expected to be published in early 2020.

Indias revised Draft Personal Data Protection Act, 2019 was published. The Draft is the subject of much discussion as, while it reflects many themes and safeguards present in the GDPR including the right to data portability and the right to be forgotten, it also permits the government to have an unfettered access to protected personal data in certain circumstances, including for national security purposes.

Reflecting the developments in 2019, the type and level of activity show that the Asia-Pacific region is not only dynamic in terms of changes to data protection laws but it also demonstrates the different stages the various jurisdictions are at in terms of their data privacy and cyber-security regimes. Some, like Sri Lanka, are at the beginning of the journey while other regimes, like Hong Kong, have been in place since before the widespread use of the internet. However, despite these differences, the common denominators for countries in this region are that they are implementing and strengthening data privacy and cyber-security regimes and aligning them with international norms.

2020 is already shaping up to be an important year in terms of developments, with Hong Kong leading the way. Earlier this week, Hong Kongs Panel on Constitutional Affairs released a discussion paper seeking views on proposed changes to Hong Kongs long standing data protection law, the Personal Data (Privacy) Ordinance (PDPO). When the PDPO was first implemented in 1995, no one could have imagined the data driven society and social media ecosystem we live in today nor the challenges that this would bring. The changes to the PDPO proposed in the discussion paper look to address some of these issues as well as introducing mandatory breach notifications, revenue based fines and bringing Hong Kongs regime more in line with international trends. For more information on the discussion paper, please read our recent article https://www.dataprotectionreport.com/2020/01/consultation-paper-published-on-hong-kongs-data-protection-law/.

In addition to the developments in Hong Kong, we are looking forward to watching how data protection law evolves throughout 2020 as countries in the Asia-Pacific region continue to review, develop and strengthen their data privacy and cyber-security regimes, and keeping you updated along the way.

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Google CEO: ‘Artificial intelligence needs to be regulated’ | TheHill – The Hill

Posted on January 22, 2020 by admin

Google CEO Sundar Pichaiis calling for governments around the world to regulate artificial intelligence, saying the sensitive technology should not be used to "support mass surveillance or violate human rights."

However, Pichai the top executive at Google as well as its parent company Alphabet also argued that governments should not go too far as they work to rein in high-stakes technologies like facial recognition and self-driving vehicles.

His speech inEurope and companion op-edcome as Europe weighs newethics rules for artificial intelligence and the White House urges a light-touch approach to regulating technology.

"There is no question in my mind that artificial intelligence needs to be regulated," Pichai wrote in theFinancial Times. "It is too important not to. The only question is how to approach it."

Since 2018 Google has touted its AI principles as a potential framework for government regulation. The guidelines urge tech companies to ensure artificial intelligence technologies incorporateprivacy features, contribute to the greater social good and do not reflect "unfair" human biases.

Critics have pushed back onthe tech industry's stated support for AI regulation,claiming the companies are trying to dictate the terms of regulation in their own favor.

"Sensible regulation must also take a proportionate approach, balancing potential harms, especially in high-risk areas, with social opportunities," Pichai wrote.

Governments around the world have found themselves behind the curve as artificial intelligence advances at lightning speed, opening up new frontiers for potential regulation. Several cities in the U.S. have taken the lead by imposing all-out bans on facial recognition technology,which oftenmisidentifies people of color at higher rates.

Pichai has thrown his support behind a temporary ban onfacial recognition technology, which he says can be used for "nefarious" purposes.

"I think it is important that governments and regulations tackle it sooner rather than later and give a framework for it, Pichai said at a conference in Brussels this week.It can be immediate, but maybe theres a waiting period before we really think about how its being used. ... Its up to governments to chart the course.

Microsoft has also released its own ideas around how to regulatefacial recognition tech, and says it abides by a strict set of AI ethics standards.

In 2018, Pichai spent his speech in Davos, Switzerland, toutingthe enormous potential of artificial intelligence, presenting a rosier view of the technologybefore it experienced an intense backlash over the past several years.

Now, as Europe and the U.S. creep closer to instituting rules around many of the products that Google creates, Pichai is raising his voice around what he sees as the best approach to AI.

"Googles role starts with recognizing the need for a principled and regulated approach to applying AI, but it doesnt end there," Pichai wrote. "We want to be a helpful and engaged partner to regulators as they grapple with the inevitable tensions and trade-offs. We offer our expertise, experience and tools as we navigate these issues together."

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Sonasoft (SSFT) Selected as Artificial Intelligence (AI) Solution to Power New AI Marketing Platform by Cognitive ROI – GlobeNewswire

Posted on January 22, 2020 by admin

SAN JOSE, CA, Jan. 22, 2020 (GLOBE NEWSWIRE) -- via NEWMEDIAWIRE Sonasoft Corp. (OTCQB: SSFT), a leader in innovative artificial intelligence (AI) and data management solutions, today announced that its artificial intelligence solution, NuGene, was selected to power a new AI marketing platform by Cognitive ROI. This marketing ROI tool leverages the unique capabilities of NuGene to deliver marketing ROI improvements of 20-30%.

Marketing is critical to the success of many businesses. But marketing is also somewhat of an art that is hard to analyze. Understanding where to spend your money on the maximum return is essential. This is incredibly hard to do, even at a macro-scale. But what if you could predict exactly which channels will perform best?

Cognitive ROI uses Sonasofts NuGene AI platform to create POEM. POEM (from the acronym for plan, optimize, execute, and measure) allows you to model your marketing ROI based on past performance. It uses Sonasofts advanced AI to incorporate historical data, current trends, and expert knowledge of the market.

POEMs marketing planning module allows you to determine the best marketing mix to achieve the desired ROI for a given investment. It allows you to drill right down to the specific channel and perform what if analysis to see the impact of specific spending decisions.

POEM is unique because it leverages NuGene from Sonasoft. It couples this with marketing-specific data models and human expertise. The result is it is consistently able to outperform more traditional AI solutions for marketing ROI.

NuGene goes further than traditional machine learning analysis of data and tests all correlations to find the ones with the strongest causation, resulting in models that are more robust and less biased, said Ankur Dinesh, Sonasofts Chief of Artificial Intelligence.

Using NuGene, POEM has transformed marketing from an art to a science, said founder and CEO Bharath Gaddam. By pooling data from external resources like Nielsen and Google Ads, NuGene equips POEM to dynamically update models to reflect real-time changes in the market.

About Sonasoft

Based in Silicon Valley since 2003 Sonasoft is a public company (SSFT) providing solutions that create significant competitive advantages from data, the most valuable corporate asset in the digital economy. Sonasofts artificial intelligence solution and software capabilities harness data to enable businesses to accelerate and improve decision making, increase operational efficiency, and automate critical processes.

For more information about Sonasoft, please visit:

https://www.sonasoft.com

For more information about Sonasofts Artificial Intelligence (AI) Solutions, please visit:

https://www.sonasoft.com/products/artificial-intelligence-ai/

For investor-specific information, please visit:

https://www.sonasoft.com/investors/

Forward-looking Statements

This release contains statements that constitute forward-looking statements. These statements appear in a number of places in this release and include all statements that are not statements of historical fact regarding the intent, belief or current expectations of the Company, its directors or its officers with respect to, among other things: (i) the Companys financing plans; (ii) trends affecting the Companys financial condition or results of operations; (iii) the Companys growth strategy and operating strategy; and (iv) the declaration and payment of dividends. The words may, would, will, expect, estimate, anticipate, believe, intend, and similar expressions and variations thereof are intended to identify forward-looking statements. Investors are cautioned that any such forward-looking statements are not guarantees of future performance and involve risks and uncertainties, many of which are beyond the Companys ability to control and that actual results may differ materially from those projected in the forward-looking statements as a result of various factors.

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Sonasoft (SSFT) Selected as Artificial Intelligence (AI) Solution to Power New AI Marketing Platform by Cognitive ROI - GlobeNewswire

Artificial Intelligence is Helping You to be a Better Leader – Analytics Insight

Posted on January 22, 2020 by admin

Decision-making stays one of the definitive tests for leadership in new entrepreneurs. Indeed, even experienced pioneers who have a reputation of sound decision-making have, sooner or later, settled on a radically poor decision that shook their reputation.

As the discussion about AI guarantees an extreme change of the company, leaders are particularly inquisitive to know whether it will make it simpler for them. While a lot of them are excited, some of them dont need decision-making made simpler. Their ability to settle on sound decisions without complex innovation is the very foundation of their reputation for being acceptable leaders.

The principal crucial reality about AI is that you dont know early what the data will uncover. By its very nature, AI is an act of pure trust, similarly as embracing your ignorance and radical reframing seem to be. Furthermore, such as learning to let go, tuning in to AI can assist you with finding truly novel, troublesome insights in astounding and unexpected places. A second reality about AI is that it makes time and space to think by separating the signal from the noise. You let the algorithms free on a vast landscape of data, and they report back only what you have to know and when you have to know it.

From the perspective of leaders, AI can take general inquiries and convey data-driven answers, pin-pointing areas of focus and producing attainable solutions. For instance, a broad question to a data-analytics team with respect to efficiency can be replied via training algorithms on any number of data sources, from financial to internal communications. They can perceive and decipher patterns and trends that are regularly concealed to a human eye.

Letting the AI team follow a course and not a goal acquires results and answers not influenced by personal beliefs or bias with respect to the organization. This implies totally new solutions. Artificial intelligence technology can perceive when levels of communications between teams are problematic, or when teams are spending an excessively long time on specific assignments. Outfitted with this information, leaders can settle on decisions that result in progressively firm teams and an increasingly effective organization.

Artificial intelligence can be a huge help to the leader whos trying to turn out to be inwardly agile and foster creative approaches to deal with change. At the point when a CEO puts AI puts to work on the hardest and most complex vital challenges, the individual in question must depend on a similar set of practices that build personal inner agility.

Sending AI out into the mass of intricacy, without knowing ahead of time what it will return with, the CEO is embracing the disclosure of unique, unexpected, and breakthrough ideas. This is an approach to test and lastly proceed onwards from long-held convictions and biases about their company, and to profoundly reframe the questions so as to discover altogether new sorts of solutions.

Whats more, the best thing about AI solutions is that they can be tested. Artificial intelligence makes its own observational feedback loop that enables you to think about your organization as an experimental science lab for transformation and performance improvement. At the end of the day, the hard science of AI can be exactly what you have to pose the kind of wide questions that establish the foundation for important advancement.

It might turn out to be certain that specific characteristics in leadership will be required less, for example, domain expertise, decisiveness and authority. Human leadership characteristics may come to be valued all the more, for example, humility, adaptability, vision and constant engagement. In reality, meta-analytic studies as of now propose that personality qualities, for example, interest, extraversion and emotional stability are twice as significant as IQ with regards to anticipating leadership effectiveness.

In that capacity, we may see leadership roles later on that are significantly increasingly human, working intimately with AI systems to recognize solutions, yet to guarantee their smooth, effective implementation.

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Artificial Intelligence Chip Market to 2027 – Global Analysis and Forecasts by Segment ; Type ; and Industry Vertical – Olean Times Herald

Posted on January 22, 2020 by admin

NEW YORK, Jan. 21, 2020 /PRNewswire/ -- The global artificial intelligence chip market was valued at US$ 5,658.1 Mn in 2018 and is expected to reach US$ 83,252.7 Mn by 2027 with a CAGR growth rate of 35.0% in the forecast period from 2019 to 2027.

Read the full report: https://www.reportlinker.com/p05774487/?utm_source=PRN

In last few years, Artificial intelligence and its applications such as Machine Learning (ML), Natural Language Processing (NLP), Expert Systems, Automated Speech Recognition, AI Planning, and Computer Vision have gained considerable traction in terms of both R&D as well as use cases across the globe.Several industry verticals have implemented AI technology for numerous use cases to utilize real-time analytics with self-learning technology in order to gain useful business insights.

The Artificial Intelligence chip market has enormous potential in industries such as Retail, BFSI, Automotive, IT and Telecom among many others.

North America is the leading region in the global Artificial Intelligence chip market followed by Europe.Due to the willingness to spend and adopt artificial intelligence powered solutions and services by all the verticals, the artificial intelligence chip market in North America contributes the largest market share during the forecast period.

The growing need for digitalization and smart technological solutions to implement intelligent business decisions have contributed substantially towards the growth of artificial intelligence chip market in North America. Other factors such as the surge in demand for smartphones, industrial automation, internet of things (IoT), smart cities, smart homes, robotic process automation are also boosting the growth of artificial intelligence chip market in this region.

The global artificial intelligence chip market is bifurcated on the basis of the segment into the Data Centre and Edge.Based on type, the AI chip market is segmented into CPU, GPU, ASIC, FPGA, and others.

The others section include SoC Accelerators and other application specific custom & hybrid chips.Based on industry vertical, the artificial intelligence chip market is further segmented into BFSI, Retail, IT & Telecom, Automotive & Transportation, Healthcare, Media & Entertainment, and others.

The others section in industry vertical includes education, utilities, oil & gas, mining, etc. (this section will vary with various geographic regions). Geographically, the market is divided into five regions including North America, Europe, Asia-Pacific, Middle East & Africa, and South America.

The overall artificial intelligence chip market size has been derived using both primary and secondary sources.The research process begins with exhaustive secondary research using internal and external sources to obtain qualitative and quantitative information related to the artificial intelligence chip market.

Also, multiple primary interviews were conducted with industry participants and commentators in order to validate data and analysis. The participants who typically take part in such a process include industry expert such as VPs, business development managers, market intelligence managers, and national sales managers, and external consultants such as valuation experts, research analysts, and key opinion leaders specializing in the artificial intelligence technology.

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What Apples Xnor.ai deal says about its ambitions for privacy, battery life, and artificial intelligence – GeekWire

Posted on January 22, 2020 by admin

Arm Holdings CEO Simon Segars shows an Xnor.ai board at a 2019 event.

Speaking on stage last year about the rise of artificial intelligence on devices, Arm Holdings CEO Simon Segars touted the capabilities of the chip giants Cortex-M4 processor to help identify objects using image recognition technology. But the circuit board on the slide behind him showed another logo: Xnor.ai.

Not many people knew that name at the time, even inside the industry, but they do now. Xnor.ai is the Seattle-based startup that was acquired by Apple recently for around $200 million, as first reported by GeekWire last week.

Its inclusion in the Arm CEOs presentation illustrated the growing attention for Xnor.ai at the time, fueled by the industrys rising fascination with artificial intelligence on the edge, in the small cameras, sensors, and many other types of devices proliferating around the world.

You need to push intelligence to the edge, explained Alexei Andreev, co-founder and managing director at Autotech Ventures, which was an early investor in Xnor.ai. You cannot move data in and out to the data centers anymore if you want to make fast decisions, if you dont want to overload your data networks.

Xnor.ais capabilities are a big part of what makes Apples acquisition of the company so intriguing.

Based on technology developed at the University of Washington, and incubated at the Allen Institute for Artificial Intelligence (AI2), the startup streamlined and simplified the calculations needed for image recognition and other components of artificial intelligence. Devices using Xnor.ais technology, for example, are able to identify objects such as people, backpacks and vehicles without needing to rely on a network connection to a data center, or a devices resource-intensive graphics processing unit. Instead, they can use a CPU on devices.

You just cant afford to take all of the data to where the processing can be done, said Arms Segars at a separate event. You need to take the processing to the data.

Andreev and others we spoke with for this story were careful to say that they dont know exactly what Apple plans to do with Xnor.ais technology.

Before news of the deal broke, Apple appeared determined to keep even the fact that it acquired Xnor.ai a secret, creating a company called Xylophone Capital Corp. to complete the transaction, according to Delaware corporations filings obtained by GeekWire in the course of reporting the story. Xnor.ais full website was also taken taken offline in recent weeks, replaced with a bare-bones placeholder page.

But the nature of the Xnor.ai technology suggests a few areas where Apples acquisition of Xnor.ai could come into play.

In one example of the technologys potential, Xnor last year demonstrated the ability to run its AI technology on a solar-powered AI chip that could run without other power for more than 30 years.To us, this is as big as when somebody invented a light bulb, Xnor.ais co-founder, Ali Farhadi, said the time.

The key to Xnors edge technology is a chip that can run AI software on mere milliwatts of power, so that a coin-sized battery could theoretically keep the chip running for 30 years. The system takes advantage of low-power wireless technologies such asNarrowband IoTandLoRa.

Madrona Venture Group and AI2 put $2.6 million in seed funding into Xnor.ai in 2017, and Madrona led a$12 million Series A financing round in 2018 with additional backing from Autotech, NGP Capital and Catapult Ventures. When the venture was spun out, it had just six employees, but that has since grown to about 70 people.

Apple has made 20 artificial intelligence acquisitions in the last decade, more than any other tech company, and it has sought to position itself as a bastion of user privacy and security. The company acquired another company specializing in on-device AI, Silk Labs, in November 2018.

In 2016, Apple acquired Turi, another Seattle startup specializing in machine learning and AI, which also has roots at the University of Washington, and for a similar price, about $200 million. Apple has since released developer tools based on Turis platform and incorporated Turis technology into its own products.

However, Apple wasnt the only company knocking on Xnor.ais door. Sources told GeekWire last week that Intel and Amazon had formal discussions with Xnor.ai about a possible acquisition. The Financial Timesreported that Microsoft also approached the company.

GeekWires Alan Boyle, Taylor Soper and Kevin Lisota contributed to this report.

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What Apples Xnor.ai deal says about its ambitions for privacy, battery life, and artificial intelligence - GeekWire