Today, only about 10% of 7B population in the world have access to good healthcare service, and half of the world don't even access to essential health services. Even among the developed countries, healthcare system is under strain, with rising cost and long wait time. To train up enough physicians and care providers for the growing demands within a short period of time is impractical, if not impossible. The solution has to involve technological breakthroughs. And that's where Machine Learning (ML) and Artificial Intelligence (AI) can make a big impact.

Hypergiant, a startup launched last year to address the execution gap in bringing applied AI and machine learning technologies to bear for large companies, has signed on a high-profile new advisor to help out with the new'Galactic Systems' division of its services lineup. Hypergiant founder CEO Ben Lamm also serves as an Advisory Council Member for The Planetary Society, the nonprofit dedicated to space science and exploration advocacy that's led by Nye who acts as the Society's CEO. Nye did some voiceover work for the video at the bottom of this post for Hypergiant through the connection, and then decided to come on in a more formal capacity as an official advisor working with the company. Nye was specifically interested in helping Hypergiant to work on AI tech that touch on a couple of areas he's most passionate about. "Hypergiant has an ambitious mission to address some big problems using artificial intelligence systems," Nye explained via email.

The fight against videos altered by the use of artificial intelligence just got a new ally. According to researchers at UC Berkeley and the University of Southern California, a new algorithm can help spot whether a video has been manipulated via a process known as'deepfaking.' Counter-intuitively, the tool that scientists say will aid them in their crusade against faked videos happens to be the very same tool that helps make the videos in the first place: artificial intelligence. The fight against videos altered by the use of artificial intelligence just got a new ally. Pictured is a grab from a deep fake video where Steve Buscemi's face is superimposed over Jennifer Lawrence's body Deepfakes are so named because they utilize deep learning, a form of artificial intelligence, to create fake videos.

Japan aims to make a computer terminal available to every school student by around fiscal 2025, the education ministry said Tuesday. The target is included in the ministry's new plan to improve the educational environment through the use of technology. A ministry survey in March 2018 found that computers were distributed on average at a rate of 1 terminal per 5.6 students at public elementary and high schools across the country. By prefecture, Saga performed best with a rate of 1 terminal per 1.8 students, while Saitama saw the worst rate of 1 terminal per 7.9 students. To further increase the number of computers at schools, the ministry's plan showed examples of how computers can be procured at lower costs.

Around the world, an industry has emerged around automating food service through robotics, raising questions about job security and mass unemployment while also prompting praise for streamlining and innovation. In the epicenter of Silicon Valley, where innovation is exalted beyond all else, this industry has played out in various forms, from cafes, burger shops and pizza delivery to odd vending machines. Man cannot survive on bread alone, the saying goes, but in the Bay Area, a woman could conceivably sustain herself on a varied menu of foodstuffs that had not passed the hand of man in preparation at all that day. And that woman is me. I began my day with a coffee at CafeX, where I met Francisco, the dancing and spinning robotic arm.

A programming technique that works on the same principle as disease-preventing vaccinations could safeguard machine learning systems from malicious cyber-attacks. The technique was developed by the digital specialist arm of Australia's national science agency, the CSIRO, and presented recently at an international conference on machine learning, held in Long Beach, California, US. Machine learning systems, or neural networks, are becoming increasingly prevalent in modern society, where they are pressed into service across a wide range of areas, including traffic management, medical diagnosis, and agriculture. They are also critical components in autonomous vehicles. They operate from an initial training phase, in which they are fed tens of thousands of possible iterations of a given task.

Munich Re has announced a new partnership with re/insurance industry consortium the Geospatial Intelligence Center (GIC) to provide its members with access to automated damage classification analytics following major catastrophe events. The GIC provides its members with access to imagery and data that enhance underwriting assessments, expedite claims, and improve fraud detection following hurricanes and other disaster events. By collaborating with Munich Re, the consortium will now be able to provide its members with a damage assessment heat map layer to complement its imagery and improve situational awareness post-disaster. Munich Re's analytics solutions can process the GIC's aerial imagery with machine learning models to detect building shapes and damage to individual properties, as well as to impacted geographic areas at large. In the lead up to a catastrophe event, the reinsurer's model can also predict estimated losses using data on property characteristics, weather forecasts, and weather stations.

We expect the landscape to be an integrated edge-to-core-to-cloud solution enabling what today is called IoT, Big Data, Fast Data and AI. Each time a promising new technology emerges, we seem to go through a period where it is proposed to be the solution to everything--until we reconcile how that technology fits into the bigger picture. Such is the case with artificial intelligence (AI). Clearly the advancements in deep learning will create new classes of solutions but rather than being a standalone solution, we are just now beginning to see how it fits into our IT landscape. AI emerges at a time when several other shifts in analytics technology are occurring.

Within two years there will be more voice assistants on the internet than there are people on the planet. Another, possibly more helpful, way of looking at these statistics is to say that there will still be only half a dozen assistants that matter: Apple's Siri, Google's Assistant, and Amazon's Alexa in the west, along with their Chinese equivalents, but these will have billions of microphones at their disposal, listening patiently for sounds they can use. Voice is going to become the chief way that we make our wants known to computers – and when they respond, they will do so with female voices. This detail may seem trivial, but it goes to the heart of the way in which the spread of digital technologies can amplify and extend social prejudice. The companies that program these assistants want them to be used, of course, and this requires making them appear helpful. That's especially necessary when their helpfulness is limited in the real world: although they are getting better at answering queries outside narrow and canned parameters, they could not easily ever be mistaken for a human being on the basis of their words alone.

AI offers exceptional opportunities particularly in digital marketing while irrefutably revolutionizing and propelling the industry. AI is the ability of a computer or computer-enabled robotic systems to process massive amounts of in-depth data and produce outcomes similar to the thought processes of humans in learning, analysing, decision making, and problem-solving. Hence, AI has enabled marketers to comprehend vast data to gain valuable consumer insights, and in turn, improve digital marketing strategies. The applications of AI are essentially limitless, and the field of computer science is on a stark ascendance. The global AI market was worth $7.35 billion in 2018, where the largest portion of revenue was stirred from enterprise applications.