Country
Spotlight: Israeli medical hi-tech startups show strong willingness to explore Chinese market - Xinhua
JERUSALEM, Sept. 6 (Xinhua) -- A total of 12 Israeli hi-tech startups, mainly from the medical and healthcare sector, participated in the second round of "Chuangxiang China" Anhui innovation and entrepreneurship competition in central Israel. The event was hosted by China's Anhui provincial government in Israeli central city of Tel Aviv on Thursday evening. A total of 110 Israeli hi-tech startups applied for the competition, mostly involved in the research and development (R&D) of technologies in healthcare, smart manufacturing, artificial intelligence (AI) and big data, 12 out of which were qualified to the second round of the competition. After presentations and meetings, three Israeli startups, On-Sight, Vectorious and RedDress, became the winners of the second round and will attend the final round of the competition, which is to be held in Hefei, capital of east China's Anhui Province in November this year. The medical and healthcare sector has increasingly become an important sector attracting both Israeli and Chinese companies.
Can artificial intelligence match works of great musicians?
LINZ (Austria): Can artificial intelligence turn out symphonies to match one of the greats of classical music? That was the question posed by one unusual orchestra performance in the Austrian city of Linz on Friday, in which Gustav Mahler's unfinished Symphony No 10 was played -- immediately followed by six minutes of "Mahleresque" music written by software. The project's creator says that the two are clearly distinguishable but not everyone in the audience agreed. "I couldn't really feel the difference... I believe it was really well done," Maria Jose Sanchez Varela, 34, a science and philosophy researcher from Mexico, said.
3 Artificial Intelligence Stocks to Buy: MSFT, UPS and PANW
Riding the next big thing to catch Wall Street's fancy can be tough. But artificial intelligence is one area of undeniable potential. And in Microsoft (NASDAQ:MSFT), United Parcel Service (NYSE:UPS) and Palo Alto Networks (NYSE:PANW) investors are being offered a more intelligent approach to cash in on the artificial intelligence stocks trend. Will cryptocurrencies led by Bitcoin ever really be a thing? And what is the potential for an industry like cannabis?
Everything you need to know about TensorFlow, Google's own home-made AI software that's now helping NASA discover planets and beating champions at Go
In 2016, more than 100 million people worldwide watched closely as the legendary world champion Go player Lee Sedol played against a computer program -- and lost. Then, in 2017, NASA scientists discovered two new planets with the Kepler space telescope. What these seemingly-disparate achievements have in common is that they were possible with the technology behind TensorFlow, an open source AI project. It was originally started by Google engineers, but has proven especially popular for any project requiring the processing of big data. TensorFlow was created by the Google Brain team, led by Google senior fellow and AI researcher Jeff Dean.
Facebook teams up with Microsoft and MIT to fight deepfakes
With deepfakes expected to pose a major challenge in the upcoming 2020 election and beyond, Facebook detailed one way in which it plans to take on the problem. As part of a new partnership that involves, among others, Microsoft, MIT and the University of Oxford, Facebook plans to invest more than $10 million to take part in an industry-wide effort to fight deepfakes. The initiative is called the Deepfake Detection Challenge (DFDC). It aims to create open source tools that companies, governments and media organizations can use to better detect when a video has been doctored. Facebook's contribution to the project includes hiring actors to create videos researchers can use to test the detection tools they create.
Mona Lisa 'brought to life' by AI
The subject of Leonardo da Vinci's famous Mona Lisa painting has been brought to life by AI researchers. The video, achieved from a single photo, shows the model in the portrait moving her head, eyes and mouth. The latest iteration of so-called deepfake technology came out of Samsung's AI research laboratory in Moscow. Some are concerned that the rise of convincing deepfake technology has huge potential for misuse. Samsung's algorithms were trained on a public database of 7,000 images of celebrities gathered from YouTube.
AI Centre in Ghana will transform Africa – Google
Internet technology giant Google has officially opened its Artificial Intelligence (AI) Research Centre in Ghana with high hopes of finding solutions to Africa's problems. Artificial intelligence is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. It helps find solutions to real-world problems. It can help people focus on what is relevant and open up new ways to solve problems in almost every imaginable field such as AI helping pathologists to spot cancer cells on slides, advising farmers on how to address problems with their crops and helping manufacturers detect equipment breakdowns. Google is optimistic the lab in the West African country – the first in Africa – will transform lives by coming up with bespoke solutions for the continent's problems including natural disasters.
Why American Workers Need to Be Protected From Automation
They call it the "lights out factory." A manufacturing complex run by the Japanese company FANUC, it spans 22 facilities producing 23,000 computer parts each month for companies like Tesla and Apple. The plant runs close to 24 hours a day, every day of the year. Bill de Blasio is the mayor of New York City and a candidate for the 2020 Democratic presidential nomination. The complex seems to run so smoothly, it might take a moment to realize that something's missing: human workers. FANUC's factory is 100 percent automated, with robots going "unsupervised" by a human for as many as 30 days at a time.
An A.I. Pioneer Wants an FDA for Facial Recognition
Erik Learned-Miller is one reason we talk about facial recognition at all. In 2007, years before the current A.I. boom made "deep learning" and "neural networks" common phrases in Silicon Valley, Learned-Miller and three colleagues at the University of Massachusetts Amherst released a dataset of faces titled Labelled Faces in the Wild. To you or me, Labelled Faces in the Wild just looks like folders of unremarkable images. You can download them and look for yourself. There's boxer Joe Gatti, gloves raised mid-fight.