Army Seeks AI Ground Truth


Deep neural networks are being mustered by U.S. military researchers to marshal new technology forces on the Internet of Battlefield Things. U.S. Army and industry researchers said this week they have developed a "confidence metric" for assessing the reliability of AI and machine learning algorithms used in deep neural networks. The metric seeks to boost reliability by limiting predictions based strictly on the system's training. The goal is to develop AI-based systems that are less prone to deception when presented with information beyond their training. SRI International has been working since 2018 with the Army Research Laboratory as part of the service's Internet of Battlefield of Things Collaborative Research Alliance.

NGA To Tap Commercial Data On Military Targets


WASHINGTON: The National Geospatial-Intelligence Agency (NGA) will announce plans in May to contract with commercial companies to for analyze satellite and other imagery data of military targets, says David Gauthier, head of NGA's new(ish) Commercial and Business Operations Group. While the first contracts will be small, the move is a big step toward the spy agency's goal of creating a "hybrid" pool of data that combines commercial imagery with low-resolution but high re-revisit rates with traditional high-resolution that is less timely Intelligence Community imagery provided by the National Reconnaissance Office (NRO) and others. "We do foresee in the future a hybrid architecture, where we definitely require both national systems for their capabilities, and commercial systems for their capabilities," he said. While Gauthier wouldn't provide a budget for the new effort, he told me earlier this week that the plan is to evaluate the capabilities of a number of commercial companies to meet NGA's needs. "I don't want to discuss numbers at this time, but we are still operating at small scale and plan on contracting with multiple vendors to compare and contrast their capabilities," he said.

Machine Learning


Avira employs machine learning in our anti-malware SDKs to provide the most accurate local threat assessment possible. At the same time, it helps deliver one of the smallest system footprints in the cybersecurity industry. On local or network devices, Avira's MicroVisionTM and AndroidVisionTM machine learning models apply powerful analytical rules. These instantly create a risk profile for unknown files on the local platform and help decide whether further analysis is needed with the Avira Protection Cloud. It is not always possible to share suspicious files with a cloud security service for analysis.

30 Under 30 Asia 2020: The Startups Leveraging AI And Machine Learning To Transform Businesses


Hyunsoo Kim, a 29-year-old entrepreneur in South Korea, is on a mission to democratize artificial intelligence to enable more companies, both large and small, to utilize the emerging technology. So it's only fitting that Kim, cofounder of Superb AI, has been selected as the featured honoree for the Enterprise Technology category of this year's Forbes 30 Under 30 Asia list, leading a pack of several fellow honorees who founded startups based on AI. Since launching Superb AI in April 2018 with four cofounders, Kim has grown his startup to $2 million in revenues last year and 21 employees, fueled by increasing demand for AI. Profits are still in the future, but Superb AI also managed last year to join Y Combinator, a prominent Silicon Valley startup accelerator. So far, it has raised $2 million in funding from Y Combinator, Duke University and VC firms in Silicon Valley, Seoul and Dubai, giving it a valuation of $12 million as of March 2019.

3 Ways Artificial Intelligence Can Improve Campus Cybersecurity


While there's no replacement for the human factor in security, universities can benefit from the amplification and efficiency AI brings to cyberdefense.

VB Special Issue: AI and Security


Both AI and cybersecurity are nearly omnipresent in our daily lives, and the intersection of the two is of increasing importance as our world becomes more connected, more "intelligent," and more reliant on online or automated systems. AI technology can impact existing problems in cybersecurity, national security, physical safety, and even media consumption. The threats are sometimes more sophisticated than ever -- but often not. As attack and defense systems evolve, the need for human expertise becomes more imperative -- not less. And some of the seemingly most onerous threats, like deepfakes and the increasing presence of AI-powered cameras, have practical and political solutions.

USS Theodore Roosevelt commander says entire crew needs to be isolated after 200 positive coronavirus tests

FOX News

Dr. Nicole Saphire explains the problem asymptomatic individuals present and why we're seeing so many deaths right now Get all the latest news on coronavirus and more delivered daily to your inbox. In a desperate plea for help, the commanding officer of the deployed aircraft carrier USS Theodore Roosevelt says his entire crew of roughly 5,000 sailors needs to be isolated after up to 200 onboard have tested positive for coronavirus. Three sailors on board the aircraft carrier tested positive last week, the first time the outbreak infected a deployed U.S. warship at sea. The letter from Captain Brett Crozier to top Navy brass was first obtained by the San Francisco Chronicle. Fox News exclusively reported Sunday there were 38 positive cases aboard the massive warship.

How artificial intelligence is being applied to cannabis security


In the modern era, each industry seems to grow with the technology that supports it. Looking to the cannabis business of today, it's amazing to see how sophisticated and modernized this once grassroots and obscure industry has become. To this end, the cannabis industry of 2019 is beginning to mirror more mainstream businesses, as well as share in the technological advancements that support them. Of the novel technologies being entertained in the cannabis space, artificial intelligence shows some promising potential on the cybersecurity front. In any U.S. state with a legal cannabis market, compliance and security are some of the most integral features of successful business operations.

Beyond Europe's AI Strategy: Global Governance for the Fourth Industrial Revolution


Beyond Europe's AI Strategy: Global Governance for the Fourth Industrial Revolution Carolina Polito* On 19 February 2020, the European community welcomed the publication of three new documents that will drive the European Digital Agenda for the five years of the new von der Leyen's presidency. The documents are the European data strategy, the White Paper on Artificial Intelligence and the Report on Safety and Liability implications of AI, the Internet of Things and Robotics.[1] Together, these documents offer a comprehensive overview of European priorities for the Fourth Industrial Revolution. The main objective underpinning the European data strategy, informed by the conviction that the value of data lies in its pooling and storage, is the creation of a single European data space in which information flows freely and safely. To accomplish this objective, the EU will establish mechanisms to improve how data is shared, including via common contractual obligations on presentation, so as to make it accessible across member states.

A call for ethical use of artificial intelligence - The Boston Globe


As someone educated in science and engineering, I've always considered the pursuit of new technologies a higher calling. As someone raised Roman Catholic, I also tend to pay attention when another high call comes in -- like from the Vatican. Last year, the Vatican reached out to our company, IBM. Pope Francis was worried about technology's effects on society and families around the world and its potential to widen the gap between the rich and poor. How could the world harness AI for the greater good while reducing its potential to be a force for evil?