The worlds of artificial intelligence and cybersecurity have become deeply entwined in recent years, as organizations work to keep up with -- and ideally block -- increasingly sophisticated malicious hackers. Today, a startup that's built a deep learning solution that it claims can both identify and stop even viruses that have yet to be identified has raised a large round of funding from some big strategic partners. Deep Instinct, which uses deep learning both to learn how to identify and stop known viruses and other hacking techniques, as well as to be able to identify completely new approaches that have not been identified before, has raised $43 million in a Series C. The funding is being led by Millennium New Horizons, with Unbound (a London-based investment firm founded by Shravin Mittal), LG and Nvidia all participating. The investment brings the total raised by Deep Instinct to $100 million, with HP and Samsung among its previous backers. The tech companies are all strategics, in that (as in the case of HP) they bundle and resell Deep Instinct's solutions, or use them directly in their own services. The Israeli-based company is not disclosing valuation, but notably, it is already profitable.

The EU is pursuing a digital strategy that builds on our successful history of technology, innovation and ingenuity, vested in European values, and projecting them onto the international stage. The White Paper on Artificial Intelligence (AI) and the European data strategy presented today show that Europe can set global standards on technological development while putting people first. Digital technologies considerably improve our lives, from better access to knowledge and content to how we do business, communicate or buy goods and services. The EU must ensure that the digital transformation works for the benefit of all people, not just a few. Citizens should have the opportunity to flourish, choose freely, engage in society and at the same time feel safe online. Businesses should benefit from a framework that allows them to start up, scale up, pool data, innovate and compete with large companies on fair terms.

Gazing up at the night sky in a rural area, you'll probably see the shining moon surrounded by stars. If you're lucky, you might spot the furthest thing visible with the naked eye--the Andromeda galaxy. When the Department of Energy's (DOE) Legacy Survey of Space and Time (LSST) Camera at the National Science Foundation's Vera Rubin Observatory turns on in 2022, it will take photos of 37 billion galaxies and stars over the course of a decade. The output from this huge telescope will swamp researchers with data. In those 10 years, the LSST Camera will take 2,000 photos for each patch of the Southern Sky it covers.

The UN will help people in warzones to influence peace deals through an AI conversation tool they can access through their smartphones. The system will be launched within the next year, the Financial Times reports. The technology was developed by UN officials alongside a startup called Remesh, which produces a tool that creates online conversations with up to 1,000 participants. Their thoughts are analyzed in real-time through polls and open-ended questions to provide insights at scale. The product is typically used for market research and employee engagement.

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.

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.

The American Council for Technology and Industry Advisory Council (ACT-IAC), the premier public-private partnership dedicated to advancing government through the application of information technology, officially announced the release of the "Artificial Intelligence (AI) Playbook for the U.S. Federal Government." It was produced through a collaborative, volunteer effort by a working group of 133 leaders from government and industry plus academia and associations, hosted by the ACT-IAC Emerging Technology Community of Interest (COI). "The AI Playbook is designed to help the United States Federal Government achieve successful outcomes and reduce risk in its understanding and application of AI technologies," said David Wennergren, CEO of ACT-IAC, "and this important work directly supports the President's Management Agenda (PMA), Cross Agency Priority (CAP) Goal 6 – Shifting from Low-Value to High-Value Work." The Playbook also follows the General Service Administration's Office of Government-wide Policy Modernization and Migration Management (M3) framework used for Shared Services. AI has the power to accelerate government services in fields as diverse as medical research and disaster recovery to help save lives and improve quality of service in impactful ways.

Machine Learning might be a department of computer science pointed at empowering computers to memorize unused behaviors based on experimental data. The objective is to plan the algorithms that allow a computer to show the behavior learned from past encounters, instead human interaction. Now we will examine applications of machine learning in cybersecurity and see how the machine learning algorithms offering assistance to us for battle with cyber-attacks. Machine learning (without human interaction) can collect analyze and prepare data. In cybersecurity, this innovation makes a big difference to analyze past cyber-attacks and create individual defense reactions.

The pace of adoption for AI and cognitive technologies continues unabated with widespread, worldwide, rapid adoption. Adoption of AI by enterprises and organizations continues to grow, as evidenced by a recent survey showing growth across each of the seven patterns of AI. However, with this growth of adoption comes strain as existing regulation and laws struggle to deal with emerging challenges. As a result, governments around the world are moving quickly to ensure that existing laws, regulations, and legal constructs remain relevant in the face of technology change and can deal with new, emerging challenges posed by AI. Research firm Cognilytica recently published a report on Worldwide AI Laws and Regulations that explores the latest legal and regulatory actions taken by countries around the world across nine different AI-relevant areas. Specifically, the report analyzed emerging laws and regulations pertaining to the use of facial recognition and computer vision, operation and development of autonomous vehicles, issues of AI-relevant data privacy, challenges arising from conversational systems and chatbots, the emergence of the possibility of lethal autonomous weapons systems (LAWS), concerns around AI ethics and bias, aspects of AI-supported decision making, the potential for malicious use of AI, and other regulations and laws pertaining to the use, creation, or interaction with AI systems.

Today in so many industries, from manufacturing and life sciences to financial services and retail, we rely on algorithms to conduct large-scale machine learning analyses. They are hugely useful for problem-solving and beneficial for augmenting human expertise within an organization. But they are now under the spotlight for many reasons – and regulation is on the horizon. Gartner projects that four of the G7 countries will establish dedicated associations to oversee artificial intelligence and ML design by 2023. It remains vital that we understand algorithms' reasoning and decision-making processes at every step.