Artificial intelligence can help transform health care by improving diagnosis, treatment, the delivery of patient care, and the efficiency of healthcare systems. But AI is only as good as the data it's built on. AI developers in the health sector are facing multiple challenges including limited access to health data, poor data quality, and concerns over the ethical use of data for AI. The Office of the Chief Technology Officer (CTO) in the U.S. Department of Health and Human Services (HHS) is now exploring the potential for a departmentwide AI strategy to facilitate the development of AI for health. As one important first step, the HHS Office of the CTO and the Center for Open Data Enterprise (CODE) co-hosted a roundtable in April to gather input from stakeholders outside of HHS.

Over the past decade or so, convolutional neural networks (CNNs) have proven to be very effective in tackling a variety of tasks, including natural language processing (NLP) tasks. NLP entails the use of computational techniques to analyze or synthesize language, both in written and spoken form. Researchers have successfully applied CNNs to several NLP tasks, including semantic parsing, search query retrieval and text classification. Typically, CNNs trained for text classification tasks process sentences on the word level, representing individual words as vectors. Although this approach might appear consistent with how humans process language, recent studies have shown that CNNs that process sentences on the character level can also achieve remarkable results.

Embark co-founders Alex Rodrigues, left, and Brendon Moak with their fleet of autonomous semi-trucks at the startup's operations center in Ontario, California. Embark Trucks, a robotic tech upstart led by two young Canadian computer scientists, hired a key member of Tesla's Autopilot team to help its self-driving trucks better see and understand their surroundings and highway conditions. Zeljko Popovic, an engineer with a background in robotics who joined Tesla over six years ago and created and ran the Perception Team for Autopilot, is now Perception Lead for San Francisco-based Embark, the company said. He'll report to Embark CTO Brandon Moak and focus on boosting the accuracy and distance at which the cameras, radar and laser lidar sensors on its semi-trucks detect other vehicles, as well as leading mapping, localization and machine learning efforts. "Self-driving perception systems need huge amounts of data to train their machine learning algorithms, which means gathering high-quality data is key for Embark's perception team," said CEO Alex Rodrigues.

Only 25% of organisations using artificial intelligence (AI) have adopted an enterprise-wide AI strategy, according to a recent report by intelligence and advisory services platform International Data Corporation (IDC). The Chinese-owned, USA-based advisory firm also said that the findings of its report titled'Artificial Intelligence Global Adoption Trends & Strategies' suggested that half of the organisations surveyed see AI as a priority and two-thirds of them emphasise a culture which gives AI primacy. The survey found that the primary drivers behind the AI initiatives were to improve productivity, business agility and customer satisfaction by leveraging the automation capabilities. Faster time to market new products and services was a leading reason for the implementation of AI by these firms. As per the report, the factors delaying fuller implementation of AI technology in the surveyed organisations were found to be the cost of AI solutions, lack of skilled personnel and biases creeping into the data.

As Mr. Elias realized, Pluribus knew when to bluff, when to call someone else's bluff and when to vary its behavior so that other players couldn't pinpoint its strategy. "It does all the things the best players in the world do," said Mr. Elias, 32, who has won a record four titles on the World Poker Tour. "And it does a few things humans have a hard time doing." Experts believe the techniques that drive this and similar systems could be used in Wall Street trading, auctions, political negotiations and cybersecurity, activities that, like poker, involve hidden information. "You don't always know the state of the real world," said Noam Brown, the Facebook researcher who oversaw the Pluribus project.

Despite recent doom-and-gloom anecdotal reporting, a nationwide survey of 1,001 workers in the United States (U.S.) finds that 70% have an upbeat attitude toward new workplace technologies involving artificial intelligence (AI), such as chatbots, robots and augmented reality. Only 5% say they dislike new technology for putting their jobs at risk today. In fact, 32% of U.S. respondents feel AI will have a positive impact on their job in the next five years, increasing from 26% today. Just 19% of those surveyed express fear that AI/bots could swallow their jobs within the next decade. These findings stem from new research by Genesys (www.genesys.com),

Marcus Wallenberg, the billionaire heir of Sweden's foremost industrial dynasty, first got introduced to the topic of artificial intelligence back in 1977, when he studied in Palo Alto. "I walked around on the Stanford campus and saw a big sign where it said'SAIL' and since I love to sail, I went up and took a better look at it. Underneath it, it said, Stanford Artificial Intelligence Laboratory." Today, his family has become one of the foremost investors of artificial intelligence in Europe, investing around €300m in its AI program called WASP, in a mixture of AI startups and a business transformation company called Combient, bringing together Nordic companies to work together on AI. Marcus is also the chairman of Saab and the Swedish bank SEB, which the Wallenbergs founded in 1856 and is key to the family's success.

One of the biggest AI-driven titles of modern times, Alien: Isolation brings the terror of the xenomorph to video games. While the alien, LV-426 and many other key elements of the franchise have previously been explored, Alien: Isolation takes a different route. A horror game steeped in the aesthetic and style of Ridley Scott's classic 1979 movie: in which the player is trapped on the Sevastopol space station with a single, intelligent, near-invincible alien. For this experience to play out as expected, the alien itself has to carry a large amount of the experience: a demanding feat for any AI in an industry in which non-player characters are either heavily scripted or suffer really short life spans. So how did developers Creative Assembly pull it off?

UiPath, the Robotic Process Automation (RPA) market leader, today announced it has been positioned by Gartner, Inc. as a Leader in the 2019 "Magic Quadrant for Robotic Process Automation Software"* research report. UiPath was one of 18 vendors evaluated in the first year of this report and placed highest and furthest for ability to execute and completeness of vision, respectively, in the Leaders quadrant. According to Gartner, "As organizations look for ways to improve operational efficiency and integrate legacy systems with new enterprise applications and digital business, robotic process automation continues to grow its footprint." "We're excited to see the attention being paid to RPA," said Daniel Dines, UiPath co-founder and CEO. "There is real recognition that businesses are investing in RPA to augment and support their workforces with software robots, rapidly accelerating the digital transformation of their entire business, and freeing employees to spend time on more impactful work. UiPath is leading this workforce revolution, driven by our core determination to democratize RPA and deliver on our vision of a robot helping every person."

Artificial intelligence is still a relatively new technology but one business leader said its applications are already generating real value. For AI to become more mainstream, start-ups and tech giants have to understand the bottlenecks that businesses face, which can be solved by that technology, according to Ericson Chan, CEO of China's Ping An Technology. "Look at China, for example -- only 8% of the hospitals are triple-A grade," he told CNBC's Arjun Kharpal on Tuesday at the RISE Conference in Hong Kong. "But that 8% of the hospitals are taking care of more than 50% of the patients of the whole nation." As a result, resources are unevenly distributed, which, in turn, sours the patients' experiences at those hospitals, he said.