Deputy Prime Minister and Minister for Finance, Heng Swee Keat, today announced at the SFF X SWITCH (SingaporeFinTech Festival and Singapore Week of Innovation and TeCHnology) Conference, a national Artificial Intelligence (AI) strategy to transform Singapore's economy and improve the lives of citizens. The key approach of the strategy is to adopt a human-centric approach, and focus on delivering tangible benefits to citizens and businesses through AI. Drilling specifically into healthcare, the emphasis of the national AI strategy will be on chronic disease management and prevention. By 2022, the Singapore Eye Lesion Analyzer, Selena, a system which analyzes retinal photographs across the nation for diabetes screening will be deployed. By 2025, a retina-based risk score for high glucose, high blood pressure and high cholesterol (3H) related cardiovascular diseases will be developed.

Washington D.C.: With the help of machine learning and artificial intelligence researchers are accelerating the power of batteries. Researchers at the U.S. Department of Energy's (DOE) Argonne National Laboratory have turned to the power of machine learning and artificial intelligence to dramatically accelerate the process of battery discovery, according to the study published in -- Chemical Science. As described in two new papers, Argonne researchers first created a highly accurate database of roughly 133,000 small organic molecules that could form the basis of battery electrolytes. To do so, they used a computationally intensive model called G4MP2. This collection of molecules, however, represented only a small subset of 166 billion larger molecules that scientists wanted to probe for electrolyte candidates.

Sign in to report inappropriate content. Hava Siegelmann, Microsystems Technology Office Program Manager DARPA, gives a keynote at the Human-Level AI Conference in Prague in August 2018. The conference combined three major conferences AGI, BICA, and NeSy and was organized by AI research and development company GoodAI.

BEIJING/SHANGHAI – Chinese regulators have announced new rules governing video and audio content online, including a ban on the publishing and distribution of "fake news" created with technologies such as artificial intelligence and virtual reality. Any use of AI or virtual reality also needs to be clearly marked in a prominent manner and failure to follow the rules could be considered a criminal offense, the Cyberspace Administration of China (CAC) said on its website. The rules, effective Jan. 1, were published publicly on its website on Friday after being issued to online video and audio service providers last week. In particular, the CAC highlighted potential problems caused by deepfake technology, which uses AI to create hyper-realistic videos where a person appears to say or do something they did not. Deepfake technology could "endanger national security, disrupt social stability, disrupt social order and infringe upon the legitimate rights and interests of others," according to a transcript of a press briefing published on the CAC's website.

MACHINE learning is a popular buzzword today, and has been heralded as one of the greatest innovations conceived by man. A branch of artificial intelligence (AI), machine learning is increasingly embedded in daily life, such as automatic email reply predictions, virtual assistants, and chatbots. The technology is also expected to revolutionize the world of finance. While it is slower than other industries in embracing the technology, the impact of ML is already visibly significant. Most recently, HSBC said that the bank was using the technology to combat financial crime.

Artificial Intelligence has already taken over our lives and transformed it for the good. The days are over when you could still debate whether AI will impact a certain industry and transform it like others. Because artificial intelligence has already penetrated every other industry that we know and continues to impact several others. It is already being used in several ways, while others are under research. The only question we can think about is, how much will AI take over an existing industry and change it for the good?

Nvidia Corp. wants to make artificial intelligence a staple of the healthcare industry with a new distributed learning technique announced today that can train machine learning models while protecting patient privacy. AI holds great promise, but for industries such as healthcare where data privacy is of paramount importance, tapping into that potential is a big challenge. The problem is that any data that might be useful to train models is almost always confidential, which means it can't be shared with technology partners. Nvidia reckons it can solve this problem with its new Clara Federated Learning technique, which ensures that patient data remains within healthcare providers' systems at all times. Clara FL is a reference application for distributed AI training that's designed to run on Nvidia's recently announced EGX intelligent edge computing platform.

But for all their fancy sensors and intricate data-crunching abilities, even the most cutting-edge cars lack something that (almost) every 16-year-old with a learner's permit has: social awareness. While autonomous technologies have improved substantially, they still ultimately view the drivers around them as obstacles made up of ones and zeros, rather than human beings with specific intentions, motivations, and personalities. But recently a team led by researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) has been exploring whether self-driving cars can be programmed to classify the social personalities of other drivers, so that they can better predict what different cars will do -- and, therefore, be able to drive more safely among them. In a new paper, the scientists integrated tools from social psychology to classify driving behavior with respect to how selfish or selfless a particular driver is. Specifically, they used something called social value orientation (SVO), which represents the degree to which someone is selfish ("egoistic") versus altruistic or cooperative ("prosocial").

Forget phrase books or even Google Translate. New translation devices are getting closer to replicating the fantasy of the Babel fish, which in the "Hitchhiker's Guide to the Galaxy" sits in one's ear and instantly translates any foreign language into the user's own. The WT2 Plus Ear to Ear AI Translator Earbuds from Timekettle are already available, while the over-the-ear "Ambassador" from Wavery Labs is scheduled for release this year. Both brands are wireless, and come with two earpieces that must be synced to a single smartphone connected to Wi-Fi or cellular data. These devices "bring us a bit closer to being able to travel to places in the world where people speak different languages and communicate smoothly with those who are living there," said Graham Neubig, an assistant professor at the Language Technologies Institute of Carnegie Mellon University and an expert in machine learning and natural language processing.

Artificial intelligence in medicine has made dramatic progress in recent years. However, much of this progress is seemingly scattered, lacking a cohesive structure for the discerning observer. In this article, we will provide an up-to-date review of artificial intelligence in medicine, with a specific focus on its application to radiology, pathology, ophthalmology, and dermatology. We will discuss a range of selected papers that illustrate the potential uses of artificial intelligence in a technologically advanced future.