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Why we shouldn't fear the future of work

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The American workforce is at a crossroads. Digitization and automation have replaced millions of middle-class jobs, while wages have stagnated for many who remain employed. A lot of labor has become insecure, low-income freelance work. Yet there is reason for optimism on behalf of workers, as scholars and business leaders outlined in an MIT conference on Wednesday. Automation and artificial intelligence do not just replace jobs; they also create them.


Deloitte Launches the Deloitte AI Institute

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Deloitte announced the launch of the Deloitte AI Institute, a center that focuses on artificial intelligence (AI) research, eminence, and applied innovation across industries. The Institute will bring together the brightest minds in the field of AI to apply cutting-edge research to help address a wide spectrum of relevant AI use cases. "The Deloitte AI Institute is being established to advance the conversation and development of AI for enterprises," said Nitin Mittal, AI co-leader and principal, Deloitte Consulting LLP. "Our goal is to blend Deloitte's deep experience in applied AI with a robust network of some of the most intelligent AI minds in the world to challenge the status quo. Through the power of this center, we aim to deliver impactful and game-changing research; and innovation to help our clients lead in the'Age of With,' a world where humans work side-by-side with machines."


The state of AI in 2020 likely sees more adoption

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This year "is the year that AI is going to enter the enterprise mainstream adoption," said Jeff Loucks, executive director of The Center for Technology, Media & Telecommunications at Deloitte Services LP. Deloitte's 2020 edition of its annual "State of AI in the Enterprise" report, released in July, indicates that many enterprises are investing heavily in AI, and many are buying cloud-based AI products instead of building their own. The technology and consulting company surveyed 2,737 IT and line-of-business executives across nine countries. All of the respondents use some form of AI in their companies. The survey showed that 53% of the adopters spent more than $20 million over the past year on AI-related technology and talent, with 71% of them expecting to increase spending in the next fiscal year.


Europe Lagging On AI Development, Samsung And IBM Lead In AI Patent Race

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Award-winning OxFirst, a specialist in the law and economics of IP, has released research that reveals the hidden secrets behind global patent registrations and information on the economic value of patents in the AI sector. While Samsung, IBM and Tencent dominate with the highest number of patents filed, fierce competition between the US and China overshadows other countries, including the EU. Patents are mainly filed in the area of interconnectivity and system architecture, suggesting that top players focus primarily on protecting technologies covering multiple neural nets. Other areas of crucial importance are Machine Learning (ML) and bootstrap methods, alongside procedures used during speech recognition processes; e.g. the further establishment of human-machine dialogue. An analysis of the patent landscape between 2010 and 2020 shows that patents reading on Machine Learning experienced their greatest filing growth in 2017/2018.


Europe Lagging on AI Development, Samsung and IBM Lead in AI Patent Race

#artificialintelligence

Award-winning OxFirst, a specialist in the law and economics of IP, has released research that reveals the hidden secrets behind global patent registrations and information on the economic value of patents in the AI sector. While Samsung, IBM and Tencent dominate with the highest number of patents filed, fierce competition between the US and China overshadows other countries, including the EU. Patents are mainly filed in the area of interconnectivity and system architecture, suggesting that top players focus primarily on protecting technologies covering multiple neural nets. Other areas of crucial importance are Machine Learning (ML) and bootstrap methods, alongside procedures used during speech recognition processes; e.g. the further establishment of human-machine dialogue. An analysis of the patent landscape between 2010 and 2020 shows that patents reading on Machine Learning experienced their greatest filing growth in 2017/2018.


Tracking coronavirus cases proves difficult amid new surge

Boston Herald

Health departments around the U.S. that are using contact tracers to contain coronavirus outbreaks are scrambling to bolster their ranks amid a surge of cases and resistance to cooperation from those infected or exposed. With too few trained contact tracers to handle soaring caseloads, one hard-hit Arizona county is relying on National Guard members to pitch in. In Louisiana, people who have tested positive typically wait more than two days to respond to health officials -- giving the disease crucial time to spread. Many tracers are finding it hard to break through suspicion and apathy to convince people that compliance is crucial. Contact tracing -- tracking people who test positive and anyone they've come in contact with -- was challenging even when stay-at-home orders were in place.


MTA Explores Use Of Artificial Intelligence To Measure Mask Compliance On Subways

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New York City transit officials are exploring a controversial plan to use artificial intelligence software to track how many subway riders are wearing face masks, and where. The technology, which is currently being used in Paris, was among a host of ideas presented in a consultant's report released to the public on Monday that could help transit authorities measure the level of face mask compliance at specific subway stations. The list includes several high-tech tools like thermal-scanner temperature checks, which has been adopted in Canada and Singapore, as well as UV lamps and robots that China has deployed on buses to kill the viruses on surfaces. "We're exploring the feasibility of a wide range of tools and approaches for helping keep our employees and customers safe," said Andrei Berman, a spokesman for the MTA, in a statement. "AI is one of those tools and we'll continue to research whether it might be effective, and if so, how it might be deployed in an appropriate manner to continue ensuring best public health practices are followed for the safety of our customers and employees."


Unsecured traffic camera database exposes information about 8.6 MILLION trips

Daily Mail - Science & tech

A pair of cybersecurity researchers have discovered a major breach in a traffic camera database, exposing license plate and travel details from more than 8.6 million car trips. The breach involved the automatic number-plate recognition (ANPR) system used in Sheffield, England to levy tolls on vehicles traveling into the city center at certain times of day. The database - which kept records of individual license plates, time of day and intersection location from 100 different cameras placed around the city - could be accessed by entering its IP address into a web browser with no extra passwords or authentication necessary. The breach was first discovered by security specialist Chris Kubecka and writer Gerard Janssen while using Censys.io, Eugene Walker, Sheffield's executive director of resources, told The Register that no individuals had been harmed or'suffered any detrimental effects' because of the breach but admitted it was unacceptable.


Interview: Artificial Intelligence: Thinking Outside the Box (Part One)

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Artificial intelligence (AI) is no longer the stuff of science fiction. While robot maids may not yet be a reality, researchers are working hard to create reasoning, problem-solving machines whose "brains" might rival our own. Seán Ó hÉigeartaigh (anglicized as Sean O'Hegarty), while enthusiastic about the benefits that AI can bring, is also wary of the technology's dark side. He holds a doctorate in genomics from Trinity College Dublin and is now executive director of the Center for the Study of Existential Risk at the University of Cambridge. He has played a central role in international research on the long-term impacts and risks of AI.


Financial Services Are Being Shaped by Artificial Intelligence

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Artificial intelligence (AI) is in the process of transforming a variety of models in the global financial services industry, a global survey jointly conducted by the Cambridge Centre for Alternative Finance (CCAF) at the University of Cambridge Judge Business School and the World Economic Forum suggests. The study, supported by EY and Invesco, demonstrates that AI is changing how financial institutions generate and utilize insights from data, which in turn propels new forms of business model innovation, reshapes competitive environments and workforces, engenders new risk dynamics and poses novel challenges to firms and policy-makers alike. The survey, which gleaned responses from 151 financial institutions, including both incumbent firms and FinTechs hailing from more than 30 countries, confirms AI as a crucial business driver across the industry in the short term. Notably, AI adopters do not appear to have specific modi operandi for implementing AI; instead, 64% expect to become mass adopters within two years, proving the growing potential of AI to stimulate innovation and growth across a wide range of business functions. FinTechs and incumbents alike are moving from mainly using AI to reduce costs to utilizing its capabilities for revenue generation, albeit pursuing different AI strategies to achieve this.