You are free to share this article under the Attribution 4.0 International license. Artificial intelligence could help make eye charts a whole lot better, Zhong-Lin Lu says. Eye charts date back to the middle of the 19th century, and, over the ensuing decades, have changed relatively little. Many optometrists and ophthalmologists still gauge patients' vision by having them read rows of letters or numbers. Lu, associate provost and chief scientist at New York University Shanghai and a professor in the university's Center for Neural Science and psychology department, thinks these charts continue to have value, but are too imprecise for measuring vision loss or other changes in vision.

Scientists from the University of Texas at Dallas announced a groundbreaking new approach for improving control of prosthetics with the use of artificial intelligence (AI) at the 2019 IEEE International Symposium on Measurement and Control in Robotics Symposium this month. The research findings show a huge leap forward in the goal of fully end-to-end optimization of electromyography (EMG) controlled prosthetic hands. There are more than 40 million amputees across the globe, according to the World Health Organization. Recent advances in prosthetic hand and limb technology have greatly improved the quality of life for upper-limb amputees. However, gaps remain in the control of prosthetic hands, specifically in using naturally generated electric signals from the patient's muscles.

In the year we celebrate America's moon landing from 50 years ago, we are reminded that aiming high and thinking big have led to feats that once seemed impossible. But there were many exploded rockets on the launchpad before our astronauts set foot on the moon. That's why both the hype and the disappointment around artificial intelligence (AI) in health care don't bother me. Although IBM Watson Health did not meet expectations for its "moonshot" goal to tame cancer with AI, there's reason to be optimistic. Incremental progress for health care AI may not astonish, but it is nonetheless very promising.

As part of PublicTechnology's ongoing AI Week, in association with UiPath, we have recorded an exclusive webinar discussion, in which public and private sector experts discuss the major opportunities and challenges presented to the government, local authorities and the NHS by artificial intelligence and automation.

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I used to see the young people in the city mostly spending their time at the eateries, playing games online, driving out to the desert. Coffee shops were just a place to drink coffee or spend some time chilling out. That scenario is slowly changing. A new group of youngsters are emerging in Jeddah who love music, art, fashion as well as creating their own startups. Many of these youngsters are women.

Trint, the London-based transcription startup founded by Emmy-winning journalist Jeff Kofman, has raised $4.5 million in Series A funding. The round includes follow-on investment from Horizons Lab, the Hong Kong-based seed fund operated by the managers of Horizons Ventures, with participation from TechNexus, and The Associated Press. It brings total funding for Trint to $7.8 million since the company's founding in December 2014. Original backers include Google Digital News Innovation Fund and the Knight Enterprise Fund. Counting some of the world's largest media organizations as customers -- including The Associated Press, Vice News, The Washington Post and Der Spiegel -- Trint uses machine learning and speech-to-text technology to automate transcribing, which is a significant pain-point for journalists and other content producers, such as video makers.

A look at some clever uses of AI in travel and how it is already helping travel marketers overcome some of the biggest problems they're currently facing in the industry. Earlier this year, Sojern's State of the Industry: The 2019 Report on Travel Advertising, billed as the largest-ever survey of global travel marketers, revealed what industry insiders consider to be the greatest challenges for modern travel brands. Delivering personalised offers in real-time topped the list of challenges (46%) with ROI and profitability (45%), targeting travellers at specific points along the path to purchase (45%), keeping with the industry's fast-paced changes (45%) and using customer data effectively (44%) all closely followed. Artificial intelligence is already solving a lot of these and in this article, we take a look of some of these solutions. The generational shift from Babyboomers to Millennials has been particularly challenging, compounded by rapid advances in technology.

While scholarship on the topic is getting increasingly nuanced, you're still likely to confront dire warnings about how smart machines are coming to take our jobs. Tesla and Space X CEO Elon Musk says mass automation is "the scariest problem" facing society because "what's going to happen is robots will be able to do everything better than us … I mean all of us." AI pioneer and venture capitalist Kai-Fu Lee believes that the technology could potentially eliminate 40% of existing jobs within the next 15 years. Beyond their inherent pessimism, these kinds predictions have something in common: almost all of them come from men. The vast majority of people funding AI, working on AI, commenting on AI, teaching AI, and starting businesses involving AI are men, what Google researcher Margaret Mitchell calls "a sea of dudes."

Darktrace, the leader in Enterprise Immune System technology, has today announced that Swope Health Services has deployed its machine learning platform into the core of its network to detect cyber-threats at their earliest stages. Founded in 1969, Swope Health Services provides primary care, mental health programs, and community outreach to the broader Kansas City area. "Cyber-attacks are evolving at an unprecedented rate and healthcare organizations continue to be a top target," commented Brian Thomas, CIO, Swope Health Services. "Darktrace's ability to self-learn our network and prioritize the anomalies within our infrastructure is game-changing. Because its AI technology doesn't look at yesterday's attack to predict that of tomorrow, it has the unique ability to find potential threats that have never been seen before."