What: Artificial Intelligence (AI) is moving from hype to real-world results in healthcare today. Wolters Kluwer Health prepared the following table to illustrate key trends and offer industry insights on where AI is already making an impact to improve healthcare--with patients and behind the scenes in hospital departments. Who: Diana Nole, CEO at Wolters Kluwer Health, will be exploring these hot AI trends in healthcare technology at this years' World Medical Innovation Forum. She can discuss ways AI is already tangibly helping to improve patient care and to reduce variability in the quality of care. Where: "Smart EHRs: AI for All" Panel at 2018 World Medical Innovation Forum hosted by Partners HealthCare, Westin Copley Place, Boston

Canon's whitepaper, "Artificial Intelligence Creates E-Discovery Efficiencies, Controls Costs," spotlights how the use of AI lets legal departments do more with less and frees attorneys to spend more time on legal-knowledge-driven work. Many attorneys are familiar with basic eDiscovery tools such as word searches to find relevant documents. AI, however, has moved beyond these basics. One powerful eDiscovery technology is predictive coding, which searches documents for context, concepts and tone. This can significantly increase accuracy and relevance in document review, in some cases enabling tasks to be completed in minutes, not days or months.

"DOM was a key milestone not only for us, but for voice recognition "DOM was also the public face of our initial investment in "We believe natural voice recognition is the future, as seen by the "While many of our orders come via digital platforms, there are still "DOM can now take those orders, freeing up our store team Domino's first tested DOM for phoned-in carryout orders in a few of "Store team members like DOM," said Nicole Prokopczyk, Domino's "Some calls to the stores are from customers who have already "Based on the phone number, this system will Domino's Tracker was another restaurant industry first launched by About Domino's Pizza@ Founded in 1960, Domino's Pizza is the largest Emphasis on technology innovation helped Domino's U.S., Domino's generates over 60% of sales via digital channels and Please visit our Investor Relations website at biz.dominos.com

SAN FRANCISCO--(BUSINESS WIRE)--The following is an opinion editorial provided by Navin Shenoy, executive vice president and general manager of the Data Center Group at Intel Corporation. In the wide world of big data, artificial intelligence (AI) holds transformational promise. Everything from manufacturing to transportation to retail to education will be improved through its application. But nowhere is that potential more profound than in healthcare, where every one of us has a stake. What if we could predict the next big disease epidemic, and stop it before it kills?

The recognition of objects is one of the main goals for computer vision research. Some of the applications include: the automation on the assembly line, inspection of integrated circuit chips to detect defects in them, security in face and fingerprint recognition, medical diagnosis and detection of abnormal cells that may indicate cancer, remote sensing for automated recognition of possible hostile terrain to generate maps and aids for the visually impaired of mechanical guide dogs. However, 3D object recognition has been one of the challenging processes facing computer vision systems. One Maryland-based startup may finally have the answer to the problem. The startup, Z Advanced Computing, announced today that it has made technical and scientific breakthrough towards Machine Learning and Artificial Intelligence (AI), where the various attributes and details of 3D (three dimensional) objects can be recognized from any view or angle, using its novel General-AI techniques.

For ultrasound to fulfill its potential and become the ubiquitous tool in medicine that it deserves to be, we need to solve for two elements: access and ease-of-use. We have been building our team around these two pillars. Having already built a world-class team in extreme ultrasound miniaturization to execute on our mission of ultimate access to high-performance ultrasound-based clinical tools, we are now intensifying our efforts on building a world-class AI team to execute on our ease-of-use mission,

Apple has created a new robot named Daisy that can take apart a dead iPhone and recover precious materials such as silver and tungsten. The robot can rip apart a dead phone in just 18 seconds and is an update to Liam - the recycling bot the company announced back in 2016. Daisy is made from the same parts as her predecessor and is able to disassemble nine versions of the iPhone, sorting them into usable components. The Cupertino-based robot is able to break down nine different versions of the iPhone - and could get through 200 per hour. By removing and sorting components, Apple can recover high-quality materials that traditional recyclers can't get hold of.

Global Artificial Intelligence in Cyber Security Market is expected to reach $18.2 billion by 2023. As per the findings of the research, network security accounted for the largest market during the historical period, and is expected to grow at a CAGR 34.5% during the forecast period in the artificial intelligence in cyber security market. Growth of network security market is predominantly driven by the upsurge in the adoption of wireless networks and their susceptibilities, as establishments nowadays are increasingly depending on wireless networks for data transfer. On the basis of technology, machine learning is gaining traction in the artificial intelligence in cyber security market, and is projected to cross $6 billion by 2023. The larger revenue share of machine learning is mainly attributed to better threat learning algorithm using voluminous data to protect businesses.

In the ongoing race to build the best and smartest applications that tap into the advances of artificial intelligence, a startup out of London has raised a large round of funding to double down on solving persistent problems in areas like healthcare and energy. BenevolventAI announced today that it has raised $115 million to continue developing its core "AI brain" as well as different arms of the company that are using it specifically to break new ground in drug development and more. This venture round values the company at $2.1 billion post-money, its founder and executive chairman Ken Mulvaney confirmed to TechCrunch. Investors in this round include previous backer Woodford Investment Management, and while Mulvaney said the company was not disclosing the names of any other investors, he added it was a mix of family offices and some strategic backers, with a majority coming from the U.S., but would not specify any more. Notably, BenevolentAI does not have any backing from more traditional VCs, which more generally have been doubling down on investments in AI startups.

DUBLIN--(BUSINESS WIRE)--The "Machine Learning: Global Markets to 2022" report has been added to ResearchAndMarkets.com's offering. Revenue forecasts from 2017 to 2022 for segmentation based on deployment, organization size, end-user industries, and geography have been estimated with values derived from solutions and service providers' total revenues. The report also includes a section on the major players in the market. Further, it explains the major drivers, competitive landscape, and current trends in the machine learning market. The report concludes with an analysis of the machine learning vendor landscape and includes detailed profiles of the major players in the global machine learning market.