This article has been adapted from the podcast, Eye on AI. In 2017, China announced its goal to become the world leader in AI by 2030. The US responded by creating a commission to review America's competitive position and to advise Congress on what steps are needed to maintain US leadership in this important field. Former Google chief executive Eric Schmidt and former Deputy Defense Secretary Bob Work were chosen from among fifteen appointed commissioners to lead the work. Earlier this month, the commission issued its first set of recommendations to Congress.

Over the past half a decade or so, artificial intelligence has become one of the most important creations of the tech industry, and plenty of companies specializing in this particular niche have sprouted. Consequently, investors who wish to cash in on this fast-growing and highly innovative sector may want to start tracking some of the artificial intelligence stocks on the market. The coronavirus crisis may have resulted in major disruptions in many industries, but it could actually speed up the adoption of artificial industries at a much larger scale. Hence, now might be a good time for investors to start looking at some artificial intelligence stocks. Here is a closer look at some promising AI stocks.

April ended and ushered in May with a number of deals on wearables, smartphones and smart home gadgets. Best Buy knocked the starting price of the Apple Watch Series 5 down by $100, and Android users can still grab a Samsung Galaxy Watch Active for only $120. It's also a good time to step up your spring-cleaning game as a couple of iRobot Roombas are still on sale. Here are the best deals we found this week that you can still get today. The Fitbit Inspire HR fitness tracker remains on sale for $70 at Walmart, Amazon and Fitbit's website. This sale slashes $30 off its normal price of $100 and makes it the same price as the regular Inspire tracker.

Take Black Mirror's dystopian tech commentary, The Good Place's philosophical exploration of the after-life, and the workplace antics of The Office, mash them together, and you have Amazon's Upload. It takes place in a world that could easily be 10 years from now -- self driving cars are commonplace, the Earth is polluted and over-crowded, and, oh yeah, you can also achieve digital immortality by uploading your consciousness to the cloud. Upload, which premieres today, is an entirely new territory for Greg Daniels, the genius writer behind The Office, and Parks and Rec (not to mention a long run on The Simpsons). But it's a world that's clearly been percolating in his mind for years. It's bold and raunchy in a way a network sitcom never could be, and it defies being classified into a single genre.

Slate is making its coronavirus coverage free for all readers. Subscribe to support our journalism. I've been single for about two and a half years. Not unhappily so, but I keep a busy schedule that allows me time to go out and meet new people or to go on dates, but rarely both. Despite that, I've been able to maintain a rather pleasing love life, thanks in great part to the apps. Obviously, I haven't yet settled down with Mr. Right Enough just yet, but I've connected with great friends, met remarkable lovers, and explored both fleeting and long-term romance on my own terms.

Dr. Amy Compton-Phillips is the chief clinical officer and executive vice president for Providence St. Get all the latest news on coronavirus and more delivered daily to your inbox. Tokyo will use robots to attend to coronavirus patients housed in local hotels. The Tokyo Metropolitan Government unveiled two robots on Friday at the Apa Hotel & Resort in the capital's Sumida ward. The Apa Hotel is one of five hotels in Tokyo that the metropolitan government is renting to house hospital patients with no or mild symptoms of COVID-19. Doctors and nurses attend the guests at the hotel, but the government hopes that the Softbank-developed robots will help to cheer up the otherwise isolated guests.

The cover image is adapted from Figure 4 in the article, "Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk," by Hanson and colleagues. To simultaneously assess risks for multiple cancers to identify distinct multicancer configurations, this study takes advantage of a unique population-level data resource, the Utah Population Database, containing vast genealogy and statewide cancer data. This study identified five familial bladder cancer FMCs showing unique risk patterns for cancers of other organs, suggesting phenotypic heterogeneity in familial bladder cancer. FMC configurations could permit better definitions of cancer phenotypes (subtypes or multicancer) for gene discovery and environmental risk factor studies. For more information, see the article beginning 918.

Identify root causes and develop solutions to improve robustness for the data science teams systems. Drive improvement of code quality and serve as an example to follow through code reviews. Deliver complex large-scoped features independently, including designing and implementing a solution that is running successfully in production. Develop data models to effectively gather information from disparate sources, analyze it, identify trends, extract useful information and surface the information onto our system platform. Develop end-to-end machine learning and NLP-based systems to extract structured information from unstructured data.

NYU Grossman School of Medicine and Columbia University led a team of American and Chinese scientists to utilize artificial intelligence (AI) techniques in a new prototype that will predict the severity of lasting effects from COVID-19. The researchers set out to demonstrate the effectiveness of artificial intelligence techniques in predicting which patients infected with SARS-CoV-2, the virus that causes COVID-19, would later develop potentially fatal acute respiratory distress syndrome (ARDS). The small-scale study consisted of 53 consecutive patients, 33 men, and 20 women, infected with SARS-CoV-2 who went to Wenzhou Central Hospital or Wuhan Central Hospital for treatment in January 2020. The median age was 43 years old. Mild symptoms at onset included cough, fever, stomach upset, myalgia, wheezing, dyspnea, nasal congestion, and sore throat.

Intel Capital Leads $11.5M in Series A Funding for Hypersonix, an AI-Driven Autonomous Analytics Platform Founded by Former Executives from SAP, PayPal, IBM As reported today in the Wall Street Journal, Hypersonix has received $11.5M in Series A funding led by Intel Capital with participation from existing investors. Hypersonix was founded by successful serial entrepreneur and former SAP executive Prem Kiran, and is led by an impressive co-founding team, including Rama Rao, former MIT research faculty member for advanced analytics, as well as former PayPal and Intuit data executive, and Todd Michaud, a former IBM executive and former president at Retalix. Hypersonix is an autonomous analytics and decisioning platform that is transforming consumer commerce data with artificial intelligence and automation. Amazon Lab126 is among its early customers. The funding comes at a time when IDC predicts worldwide revenues for big data and business analytics (BDA) solutions to reach $274.3B by 2022.