With nearly eight billion people on the planet -- and more than half of them on internet -- verifying who's who is one of the great technological challenges of our time. To meet this challenge, Biometric security is rising to the occasion, buoyed by technological advancements and user-friendly experiences. Modern biometrics can seem like science fiction, but the concept is far from new. Sir Francis Galton, cousin of the famous Charles Darwin, used an analysis of over 8,000 fingerprint samples to publish what would become the first fingerprint classification system in history. Building on the work of Sir Francis Galton, the Metropolitan Police of London used shapes like whorls and loops identify individuals based on fingerprint patterns at the beginning of the 20th century.

COVID-19 doesn't create cookie cutter infections. Some people have extremely mild cases while others find themselves fighting for their lives. Clinicians are working with limited resources against a disease that is very hard to predict. Knowing which patients are most likely to develop severe cases could help guide clinicians during this pandemic. We are two researchers at New York University that study predictive analytics and infectious diseases.

One of the hard lessons of the US experience of allowing tech companies to become tech giants has resulted in too much centralization of power. A system of checks and balances with widely-dispersed expertise is essential to prevent abuses of power. It is therefore encouraging that the recommendations specifically call for creating "public-private partnerships to foster sectoral AI systems" and "an easy avenue for startups and SMEs to funding and advice", through InvestEU, the European Innovation Council, Digital Innovation Hubs, and other programmes. The European startup community and the universities and incubators that nourish it should become actively involved in AI-HLEG's follow-on activities to promote the implementation of these recommendations, and guarantee that evolving standards maintain public access and do not become further barriers to entry.

The Station is a weekly newsletter dedicated to all things transportation. Sign up here -- just click The Station -- to receive it every Saturday in your inbox. If you're interested in all the future and present ways people and packages move from Point A to Point B, you're in the right place. It felt like Tesla dominated the news cycle once again this week. There was other mobility news though, including layoffs at self-driving company Cruise and new rules that Uber is rolling out Monday that will change the ride-hailing experience for the foreseeable future.

We take a closer look at the robotics giant, Nuro. The company believes that great technology should benefit everyone. The team at Nuro is accelerating a future where robots make life easier and help us connect to the people and things we love. Together, they're pushing the boundaries of robotics to improve human life. Dave Ferguson and Jiajun Zhu have devoted their careers to robotics and machine learning, most recently as Principal Engineers at Google's self-driving car project (now Waymo).

Hailo, the AI chip startup, is teaming with a Japanese systems designer and manufacturing giant Foxconn to develop an AI edge processor aimed at video analytics applications. The edge partnership is based on Foxconn Technology's BOXiedge platform that integrates the Hailo-8 deep learning processor with a parallel processor from Japanese system-on-chip designer Socienext Inc. The combination creates a local video management server designed to shift workload processing from the cloud to the edge. Yokohama-based Socionext specializes in low-power edge processors, including the recent release of an AI processor based on deep neural network technology. The approach is said to be "quantized," that is, the device is tuned to specific values such as signals, rather than a continuous range of values.

Perceiving the pandemics' hard reset as a chance to grow stronger, more resilient, and resourceful dominates manufacturers' mindsets who continue to double down on analytics and AI-driven pilots. Combining human experience, insight, and AI techniques, they're discovering new ways to differentiate themselves while driving down costs and protecting margins. And they're all up for the challenge of continuing to grow in tough economic times. Boston Consulting Group's recent study The Rise of the AI-Powered Company in the Postcrisis World found that in the four previous global economic downturns, 14% of companies were able to increase both sales growth and profit margins as the following graphic shows: AI Is Core To Manufacturing's Real-Time Future Real-time monitoring provides many benefits, including troubleshooting production bottlenecks, tracking scrap rates, meeting customer delivery dates, and more. It's an excellent source of contextually relevant data that can be used for training machine learning models.

As the COVID-19 pandemic continues to infect people across the world, a technological application already familiar to many in the biotech field is lending a key supporting role in the fight to treat and stop it: artificial intelligence (AI). AI is currently being used by many companies to identify and screen existing drugs that could be repurposed to treat COVID-19, aid clinical trials, sift through trial data, and scour through patient electronic medical records (EMRs). The power of AI in COVID-19 is that it is being used to generate actionable information--some of which would be impossible without AI--much more quickly than before. A simple definition of AI is the ability of a computer to rapidly think and learn. AI utilizes machine learning to analyze large amounts of data.

He is a polymath: a neuroscientist, working on drug-discovery, alcoholism, Parkinson's and basics of time computation in brain. Also a data scientist entrepreneur, an acclaimed visual artist, and a writer, he now runs a neuroscience group at Central Drug Research Institute. Not just this, he has worked in forests with remote tribes and in the most cutting edge drug discovery labs. His works have been juxtaposed with giants of European art, such as Monet, Van Gogh, Degas at the series: The Drifting Canvas. At TEDxJDMC he talked about Artificial Intelligence.

Data, meaningful data is the coveted, vital holy grail of Analytics and Data Driven Marketing. Jepto is the newest artificial intelligence and predictive analytics marketing tool that is the first of its kind, using machine learning to monitor KPI and predict whether they will be met or will fall short. There have been a number of platforms which try to use artificial intelligence, such as Crystal, which I have used. It was a terrible product and did not do anything useful. Jepto, on the other hand has so many benefits and is well thought out, yet friendly to users with an easy onboarding process, this is a piece of software agencies and serious online marketers have to watch out for.