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.

Shiseido Co., the Japanese firm that sells Laura Mercier cosmetics and Dolce & Gabbana fragrances, sold ¥1 trillion ($9.3 billion) worth of beauty products last year, mostly in traditional stores where customers can sample brands in person. Consumers in their teens and twenties often prefer to shop online, beyond the reach of in-store salespeople. To partner with -- and even buy up -- small startups in Silicon Valley and other tech hubs to gain expertise in artificial intelligence, augmented reality and other technologies. His ambition is to help shoppers replicate online the experience of trying on cosmetics in a store, and use data from smart devices to create personalized makeup for customers. "Particularly with the younger generation, often they don't go into the stores," Uotani said in an interview.

While Mark Zuckerberg has been away in Washington, D.C. last week testifying about data misuse and cybersecurity, we can only assume that his personal robot assistant, Jarvis, has been helping run his household. Named after Iron Man's infamous aide, Zuckerberg has boasted before that his Jarvis can play music, control household appliances, and even entertain the kids. Jarvis learns from his human family -- their voices, their musical preferences, their preferred temperatures, and environment. So, is this the best that Artificial Intelligence (AI) can achieve? AI leaders will tell you: no way.

On Thursday, IBM announced new capabilities for its Watson Data Platform that make it easier for developers and data scientists to analyze and prepare enterprise data for artificial intelligence (AI) applications. By 2018, nearly 75% of developers will build AI functionality into their apps, according to an IDC report. However, this requires wading through increasingly complex data that lives in different places, and must be continually and securely ingested, according to an IBM press release. In response to this challenge, Watson will now include data cataloging and data refining, to improve data visibility and better enforce data security policies so that users can more easily share information across public and private cloud environments. "We are always looking for new ways to gain a more holistic view of our clients' campaign data, and design tailored approaches for each ad and marketing tactic," Michael Kaushansky, chief data officer at global advertising and marketing consultancy Havas, said in the release.

About Hyundai Motor America Hyundai Motor America is focused on delivering an outstanding customer experience grounded in design leadership, engineering excellence, and exceptional value in every vehicle we sell. Hyundai's technology-rich product lineup of cars, SUVs, and alternative-powered electric and fuel cell vehicles is backed by Hyundai Assurance-our promise to deliver peace of mind to our customers. Hyundai vehicles are sold and serviced through more than 830 dealerships nationwide, and the majority sold in the U.S. are built at U.S. manufacturing facilities, including Hyundai Motor Manufacturing Alabama. Hyundai Motor America is headquartered in Fountain Valley, California, and is a subsidiary of Hyundai Motor Company of Korea.

Node, an AI-driven search tool designed to surface the information that matters most to you, announced today that it was bringing on a couple of AI research heavy hitters. It also announced $5 million in additional funding. For starters, the company hired Louis Mornier, one of the founders of early internet search engine, Alta Vista, and most recently the Head of the AI Lab at Airbnb. Mornier will join the startup as Chief Scientist. The company also brought on Jeffrey Johnson as Chief Technology Officer in January.