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StarLink, the fastest-growing "True" Value-added Distributor (VAD) in the META region, having a presence in the U.S. and U.K., has announced a new partnership with Getvisibility. Under this agreement, StarLink will support the distribution of Getvisibility products and services in major parts of North America and Europe. Getvisibility presents a product that utilizes the latest technology in Deep Learning. Artificial intelligence gives companies visibility, control and a strong dynamic understanding of their data as it is being created. Getvisibility is designed to process and classify unstructured information as it is being created with an unprecedented level of classification confidence, allowing companies to quickly visualize their data footprint where new and changing data risks have become evident, thus allowing for proactive data management and security.

As machine learning continues to surpass human performance in a growing number of tasks, scientists at Skoltech have applied deep learning to reconstruct quantum properties of optical systems. Through a collaboration between the quantum optics research laboratories at Moscow State University, led by Sergey Kulik, and members of Skoltech's Deep Quantum Laboratory of CPQM, led by Jacob Biamonte, the scientists have successfully applied machine learning to the state reconstruction problem. Their findings have been reported in npj Quantum Information, and are the first to show that machine learning can reconstruct quantum states from experimental data in the presence of noise and detector errors. The MSU team generated data with an experimental platform based on spatial states of photons to prepare and measure high-dimensional quantum states. Experimental errors in state preparation and measurements inevitably plague the results and the situation becomes worse with increasing dimensionality.

Last month, a draft white paper revealed that Europe was weighing a temporary five-year ban on facial recognition. That ban no longer appears in the final draft. The term "facial recognition" only appears four times in the 27-page document that outlines Europe's vision for the future of artificial intelligence. Three of those four instances are in footnotes. The document, known as the White Paper on Artificial Intelligence, is a part of the European Union Commission's ambitious agenda to regulate the tech sector of the EU's 27 member nations, which it released this week (Feb.

As coverage of deepfake technology becomes more prevalent, it's reasonable to wonder how these videos even work. Advancements in motion capturing and facial recognition over the past decade have been staggering – and terrifying. What used to be limited to only the most well-funded computer scientists and movie studios is now a tool in the hands of comedy outlets and state-run media. By definition, deepfakes are videos in which a person's face and/or voice are replaced with someone else's by an AI. The underlying technology and machine learning processes rose to popularity in the early '90s, evolving from a field of academic research.

At Aptiv, we believe that our mobility solutions have the power to change the world. Our Autonomous Mobility team is focused on developing and commercializing self-driving cars and systems that enable point-to-point mobility in challenging urban driving environments. With talented teams working across the globe in Boston, Pittsburgh, Las Vegas, Santa Monica, and Singapore, Aptiv is the first company to deploy commercial robotaxis to the public. Today, Aptiv has provided over 80,000 autonomous rides to members of the public passengers in Las Vegas -- the world's largest public deployment of self-driving vehicles. In September 2019, Aptiv announced a 50/50 joint venture with Hyundai Motor Group, bringing together HMG and Aptiv's advanced engineering and R&D capabilities, our global footprint, and shared commitment to advancing autonomous driving technology.

One of the most important but generally overlooked missions of the U.S. Navy is port security. While incidents in peacetime are generally rare, the 2000 terrorist attack on the destroyer USS Cole remains a real danger. Now the Navy is experimenting with using one of its newest unmanned boats as a way to protect warships sitting pierside from attack. In October 2000, the guided-missile destroyer USS Cole was refueling at the port of Aden in Yemen when it came under attack by Al Qaeda terrorists. A small boat loaded with explosives sidled up to the 10,000 ton destroyer and exploded, killing 17 U.S. Navy sailors and injuring 39.

Our Autonomous Mobility team is focused on developing and commercializing self-driving cars and systems that enable point-to-point mobility in challenging urban driving environments. With talented teams working across the globe in Boston, Pittsburgh, Las Vegas, Santa Monica, and Singapore, Aptiv is the first company to deploy commercial robotaxis to the public. Today, Aptiv has provided over 80,000 autonomous rides to members of the public passengers in Las Vegas -- the world's largest public deployment of self-driving vehicles. In September 2019, Aptiv announced a 50/50 joint venture with Hyundai Motor Group, bringing together HMG and Aptiv's advanced engineering and R&D capabilities, our global footprint, and shared commitment to advancing autonomous driving technology. Come work with leading engineers, research scientists, marketers and business development experts, all while enabling the future of mobility!

Automated translation, including translating one programming language into another one (for instance, SQL to Python - the converse is not possible) Spell checks, especially for people writing in multiple languages - lot's of progress to be made here, including automatically recognizing the language when you type, and stop trying to correct the same word every single time (some browsers have tried to change Ning to Nong hundreds of times, and I have no idea why after 50 failures they continue to try - I call this machine unlearning) Detection of earth-like planets - focus on planetary systems with many planets to increase odds of finding inhabitable planets, rather than stars and planets matching our Sun and Earth Distinguishing between noise and signal on millions of NASA pictures or videos, to identify patterns Automated piloting (drones, cars without pilots) Customized, patient-specific medications and diets Predicting and legally manipulating elections Predicting oil demand, oil ...

WASHINGTON – In a first, U.S. researchers have used artificial intelligence to identify a powerful new antibiotic capable of killing several drug-resistant bacteria. Antibiotics have been a cornerstone of modern medicine since the discovery of penicillin, but their effectiveness has seriously diminished in recent years as overuse has led to bacteria becoming resistant. The scientists at MIT and Harvard trained a machine-learning algorithm to analyze compounds capable of fighting infections using different mechanisms than those of existing drugs. Their findings were published in the journal Cell. "Our approach revealed this amazing molecule, which is arguably one of the more powerful antibiotics that has been discovered," said James Collins, a professor of medical engineering at MIT and one of the paper's senior authors.