Artificial Intelligence (AI) is the futuristic technological frontier that has made a phenomenal transformation over which companies and nations are vying for control. AI may be the most significant social and economic shift of the last hundred years. The changes that are coming in various industries enabled with AI are just the tip of the iceberg. What is yet to come is nothing short of an unimaginable development which the world will be witnessing. The mass distribution of internet and connected devices together with the advancements in cloud computing, data analytics and software algorithms have paved the way for AI to hit the mainstream like never before.

States that have active AI national plans will be more disposed to corporate engagements and investments. Amplifying industrial activity is a core part of several existing AI national plans. Per the FutureGrasp report, State funding for Industrial Strategy as an AI sector is allocated by nine States: China, Finland, Germany, The Republic of Korea, Saudi Arabia, Singapore, The United Kingdom of Great Britain and Northern Ireland, The United Arab Emirates, and the United States.

Fox News Flash top headlines for August 30 are here. Check out what's clicking on Foxnews.com Sooner or later, the robots will make chimps of us. That's the warning from Elon Musk, who claimed on Thursday that artificial-intelligence will eventually create robots that aren't merely as smart as humans, but much smarter. At a Shanghai event with Alibaba's billionaire founder Jack Ma, Tesla's eccentric CEO compared the intelligence gap between humans and the AI-powered robots of the future to the gap between humans and chimpanzees.

If a large mechanized unit of armored ground forces were "closing" with an enemy amid heavy artillery and cannon fire - but did not have overhead aircraft or satellite surveillance while transiting rigorous terrain - how could they fully discern the source of incoming fire? How might they pursue the safest and most lethal method of attack? This kind of scenario represents one of many contingencies now informing the Army's development of a new Infantry Squad Vehicle (ISV), a super high-speed, maneuverable lightweight vehicle being engineered to perform a wide sphere of combat missions; these include high-speed straight-on attacks, forward operating reconnaissance or scout units, coordinated air-dropped ground assault and multiple entry point integrated operations. Perhaps long-range ground sensors are obscured, hacked or disabled, air support is compromised, or GPS signals are jammed -- how might an advancing ground force attack a major-power enemy? Fast-moving, soldier-led ground reconnaissance might be the best ISR (intelligence, surveillance, reconnaissance) options for the attacking force.

Amazon's got some solid deals on impressive products this Friday. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. Labor Day weekend is an amazing time to shop because pretty much everyone has a good sale going, and that, shockingly, includes Amazon. Instead, if you want to find a good deal from the online giant, you have to do some digging.

Sometime around 1 am on a warm night last June, Fei-Fei Li was sitting in her pajamas in a Washington, DC, hotel room, practicing a speech she would give in a few hours. Before going to bed, Li cut a full paragraph from her notes to be sure she could reach her most important points in the short time allotted. When she woke up, the 5'3" expert in artificial intelligence put on boots and a black and navy knit dress, a departure from her frequent uniform of a T-shirt and jeans. Then she took an Uber to the Rayburn House Office Building, just south of the US Capitol. Before entering the chambers of the US House Committee on Science, Space, and Technology, she lifted her phone to snap a photo of the oversize wooden doors.

Community health systems operating in remote areas require accurate information about where people live to efficiently provide services across large regions. We sought to determine whether a machine learning analyses of satellite imagery can be used to map remote communities to facilitate service delivery and planning. We developed a method for mapping communities using a deep learning approach that excels at detecting objects within images. We trained an algorithm to detect individual buildings, then examined building clusters to identify groupings suggestive of communities. The approach was validated in southeastern Liberia, by comparing algorithmically generated results with community location data collected manually by enumerators and community health workers. The deep learning approach achieved 86.47% positive predictive value and 79.49% sensitivity with respect to individual building detection. The approach identified 75.67% (n 451) of communities registered through the community enumeration process, and identified an additional 167 potential communities not previously registered. Several instances of false positives and false negatives were identified.

The use of machine learning is ramping up across many industries, and the field of finance is no exception. The second annual survey and report from the Institute of International Finance provided some insight into the trajectory of the technology in that application of finance, as well as a sense of some of the obstacles encountered by organizations looking to deploy machine learning. As expected, more organizations are reporting either pilots or production use of machine learning -- a full 85% in the new survey, compared to a survey conducted in 2018 in which only 58% of surveyed firms reported production or pilot projects. Credit scoring and decisioning is the most prominent application, but credit monitoring and early warning signals has increased, up from 13% in 2018 to 57% in 2018. The surveys for both 2018 and 2019 included 60 financial institutions in each year.

SonicWall President and CEO Bill Conner was featured as part of an exclusive group of cybersecurity thought-leaders at The Chertoff Group Security Series Event, "AI, Threat Intelligence and The Cyber Arms Race," on June 18. Conner was flanked by Christopher Krebs, Director of Cybersecurity and Infrastructure Security Agency (CISA) in the Department of Homeland Security; Dimitri Kusnezov, Deputy Under Secretary for Artificial Intelligence & Technology, Department of Energy; along with panel moderator Chad Sweet, Chief Executive Officer and Co-Founder, The Chertoff Group. Together, they took to the stage to discuss how AI solutions are being leveraged to prevent, detect and respond to the cyber threats attacking both critical public infrastructure and the private sector. The wide-ranging discussion took on everything from election cybersecurity to self-driving cars, but was grounded by a focus on how AI is increasingly growing in importance when running cyber defenses in both the public and private sectors. With this in mind, they looked at the increasing number of'have and have-nots' in these areas with Conner pointing out that an underfunded agency or a small company simply doesn't "have the resource -- capital or human" to defeat a major cyberattack without AI-based cyber defenses such as SonicWall Real-Time Deep Memory InspectionTM (RTDMI) that can both detect and prevent existing and never-before-seen cyberattacks as they appear.

Artificial intelligence is ubiquitous these days and is helping human beings in every sphere of life. India is slowly progressing in the field of artificial intelligence and education is the latest sector which has seen the rise of AI. Continuing the trend, a Bengaluru-based school has deployed humanoid robots to deliver lectures. Indus International School in Bengaluru has introduced three humanoid robots for teaching students of class 7,8 and 9 with the ultimate aim of replacing human teachers altogether. These human-looking robots are capable of two-way interaction i.e. they can answer queries of students and respond to their answers similar to how voice-based assistants work.