The deployment of machine learning models is the process for making your models available in production environments, where they can provide predictions to other software systems. It is only once models are deployed to production that they start adding value, making deployment a crucial step. However, there is complexity in the deployment of machine learning models. This post aims to at the very least make you aware of where this complexity comes from, and I'm also hoping it will provide you with useful tools and heuristics to combat this complexity. If it's code, step-by-step tutorials and example projects you are looking for, you might be interested in the Udemy Course "Deployment of Machine Learning Models".

There have been huge advancements in recent years in the area of AI "deepfakes", or fake photos or videos of humans created using neural networks. Fake videos of a person usually require a large number of photos of that individual, but Samsung has figured out how to create realistic talking heads from as little as a single portrait photo. In a newly published paper titled, "Few-Shot Adversarial Learning of Realistic Neural Talking Head Models," a team of researchers at the Samsung AI Center in Moscow, Russia, share their new system that has this "few-shot capability." Once it's familiar with human faces, it's able to create talking heads of previously unseen people using one or a few shots of that person. For each photo, the AI is able to detect various "landmarks" on the face -- things like the eyes, nose, mouth, and various lengths and shapes.

The school nurse of the future could be a robot if Chinese technology catches on – but British people may be too suspicious, experts say. Children at more than 2,000 pre-schools in the Asian country now have their health checked every morning by a machine. The Walklake robot, which has a square body and cartoon-like face, takes just three seconds to scan a child's hands, eyes, and throats. And if it picks up any signs of illness – red eyes, rashes or mouth ulcers, for example – it can refer the child to a human nurse. One British doctor said he thought parents in the UK wouldn't want the technology and it could disrupt children's learning, but another called it'a great idea'.

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The global analysis of Artificial Intelligence In Finance Market and its upcoming prospects have recently added by Research N Reports to its extensive repository. It has been employed through the primary and secondary research methodologies. This market is expected to become competitive in the upcoming years due to the new entry of a number of startups in the market. Additionally, it offers effective approaches for building business plans strategically which helps to promote control over the businesses. "Artificial Intelligence is the intelligence which is shown by machines. Cognitive computing, Chatbots, Personal Assistant, Machine Learning are all peripherals of AI used in the finance industry extensively nowadays."

The UK has been knocked from the top spot of a global ranking of countries whose governments are ready to capitalise on artificial intelligence technologies in public services. The UK was narrowly beaten to the number one position by Singapore in this year's Government AI Readiness Index, which the ranking's authors described as a "timely reminder of the ongoing inequality of access to AI". This is the second time the ranking has been produced, with the UK having topped the leaderboard in the first iteration in 2017. Technology consultancy Oxford Insights and the Canadian government-sponsored International Development Research Centre said the 2019 Government AI Readiness Index should prompt governments to "act to ensure that global inequalities are not further entrenched or exacerbated by AI". Unsurprisingly, the upper echelons of the ranking were dominated by higher-income countries with strong economies.

Megvii Technology, a Chinese company, founded in 2011 and widely known for its Face system, is one of the world leaders in facial recognition and artificial intelligence technology. While they might be best known for Face, Megvii uses artificial intelligence and machine vision in a variety of amazing ways. Megvii was the concept conceived by friends and Tsinghua University graduates Yin Qui, Yang Mu, and Tang Wenbin. After tremendous success in China (especially since they were able to train algorithms from China's vast pool of data) with clients such as Ant Financial, Vivo (smartphones), Didi Chuxing (ride-sharing) and investments from Bank of China, the State-Owned Venture Capital Fund, China-Russian Investment Fund and other private investors including Ant Financial (Alibaba's payment affiliate), Megvii is ready to go global. They have projects slated in the coming year for Japan, Europe, the Middle East, Southeast Asia, and the United States and have secured a distributor in Thailand.

Genesys, a known name in contact center solutions, is betting big on AI to redefine customer experience. Express Computer, spoke with Keith Budge, Senior Vice President, Asia Pacific & Japan, Genesys, and Raja Lakshmipathy, Managing Director, Genesys India, who share their perspective on the huge potential of the Indian market, and how emerging technologies can be used to drastically improve customer experience. How do you see the potential of the Indian market? Keith Budge: India has great potential – both from a R&D perspective and a market perspective. Today, more than ever, it has become more important for customers to differentiate using customer experiences.

In the 19th century, doctors might have prescribed mercury for mood swings and arsenic for asthma. It might not have occurred to them to wash their hands before your surgery. They weren't trying to kill you, of course--they just didn't know any better. These early doctors had valuable data scribbled in their notebooks, but each held only one piece in a grand jigsaw puzzle. Without modern tools for sharing and analyzing information--as well as a science for making sense of that data--there wasn't much to stop superstition from influencing what could be seen through a keyhole of observable facts.

Unmanned drones, powered by artificial intelligence, may soon accompany US Air Force Pilots on missions as autonomous wingmen. Both Boeing's F-15 and Lockheed Martin's F-35 fighter jets are being considered for the'Skyborg' drone support program. The scheme would cut down on the amount of people in the jets and could both reduce the risk to pilots and be more economical. Drones can be manufactured for a fortieth of the cost of a new fighter jet and may be guided by the sole pilot inside the nearby fighter plane. To safely manage any such drones, however, AI will need to be sufficiently developed to make it immune to attacks that could exploit its operating features.