WASHINGTON (Reuters) - U.S. government funding in artificial intelligence has fallen short and the country needs to invest in research, train an AI-ready workforce and apply the technology to national security missions, a government-commissioned panel led by Google's former CEO said in an interim report on Monday. The National Security Commission on Artificial Intelligence (NSCAI), created by Congress last year, raised concerns about the progress China has made in this area. It also said the U.S. government still faces enormous work before it can transition AI from "a promising technological novelty into a mature technology integrated into core national security missions." The commission thinks an allied effort on AI in the realm of national security is important, Robert Work, vice chairman of the NSCAI and a former deputy secretary of defense, told reporters. The NSCAI has spoken with Japan, Canada, the United Kingdom, Australia and the European Union, Work said. China is investing more than the United States in AI, said the report, which referred to the Asian nation more than 50 times.

The Abu Dhabi National Oil Company (ADNOC) is transforming its business through digital projects that range from deciding where to drill for oil and gas, to helping the company decide where to sell its final products. The state-owned oil company has driven the United Arab Emirates' economy since it was founded almost half a century ago, and its head of digital, Abdul Nasser Al Mughairbi, has been driving digital transformation since 2017. Each day, ADNOC produces three million barrels of oil and processes billions of cubic feet of gas. It has businesses involved in the extraction of raw materials upstream as well as the processing of materials to add value downstream. Add to this the transportation, sales and marketing of oil and gas, and you have a large, complex organisation.

The package company and its partner, CVS, have completed the first commercial medical drone delivery in the US. Using a M2 drone, the prescriptions were lowered down to two separate destinations via a cable while the unmanned aerial vehicle hovered 20 feet above each home. UPS and CVS, have completed the first commercial medical drone delivery in the US. The milestone is a result of UPS becoming the first drone delivery service to receive full approval from the Federal Aviation Administration. UPS and CVS carried out two flights on Friday, November 1st – both dropped off prescriptions to paying customers in Cary, North Carolina.

"We are pleased to see that the AI detection engine in SparkCognition's DeepArmor solution is so effective, with the product detecting 99.9% of threats in our Malware Protection Test," said Andreas Clementi, Founder & CEO at independent testing company AV-Comparatives. "We are proud to partner with the number one PC manufacturer in the world," said Vijay Doradla, Chief Business Officer at SparkCognition. "The collaboration will offer Lenovo's existing and future SMB customers access to next-generation cybersecurity, and demonstrates Lenovo's commitment to their customers and clients–in businesses of all sizes." Lenovo Intelligent Devices Group's Global Director of Cybersecurity Solutions, Nima Baiati, will speak at SparkCognition's annual AI and future tech summit, Time Machine, November 13 and 14 at the Palmer Events Center in Austin, Texas. Registration for the two-day summit is available online.

WASHINGTON, Nov 4 (Reuters) - U.S. government funding in artificial intelligence has fallen short and the country needs to invest in research, train an AI-ready workforce and apply the technology to national security missions, an independent government-commissioned panel said in an interim report on Monday. The National Security Commission on Artificial Intelligence (NSCAI) said it believes the U.S. government still confronts enormous work before it can transition AI from "a promising technological novelty into a mature technology integrated into core national security missions." The commission thinks an allied effort on AI in the realm of national security is important, Robert Work, vice chairman of the NSCAI and a former deputy secretary of defense, told reporters. The NSCAI has spoken with Japan, Canada, the United Kingdom, Australia and the European Union, Work said. China is investing more than the United States in artificial intelligence, said the report, which referred to the Asian nation more than 50 times. "China takes advantage of the openness of U.S. society in numerous ways - some legal, some not - to transfer AI know-how," the report said.

Machine learning and artificial intelligence are integral components of any modern organization's IT stack but these data-harvesting tools can have a dark side if appropriate risk management and planning protocols aren't in place. There's no denying the power and possibilities created by AI and machine learning. With this astounding power to build models designed to improve the efficiency and performance of everything from marketing and supply chain to sales and human resources comes considerable responsibility. A recent McKinsey report sheds some light on how companies in every industry should be wary of assuming that these relatively new and remarkably complex tools will always deliver the desired outcome as they're integrated with other applications and processes. These tools are just like every other tool that's ever existed: they're only as good as the people designing and using them.

Kicking off the Washington edition of our GPU Technology Conference, Buck, NVIDIA's VP for accelerated computing, detailed a new generation of technologies that will help companies put modern AI to work. Buck also announced that the United States Postal Service -- the world's largest delivery service, with 146 billion pieces of mail processed and delivered annually -- is adopting end-to-end AI technology from NVIDIA. "The challenge is how do we take AI from innovation to actually applying AI," Buck told an audience of more than 3,500 developers, CIOs and federal employees at the three-day GTC DC. "Our challenge, NVIDIA's challenge, and my challenge is'How can I bring AI to industries and activate it.'" Over the course of his hour-long talk, Buck explained how modern AI is trained and deployed, and described how NVIDIA is adapting AI for the automotive, healthcare, robotics, and 5G industries, among others. The U.S. Postal Service offers a glimpse at what's possible. Buck said the U.S. Postal Service will roll out a deep learning solution based on NVIDIA EGX to 200 processing facilities that should be operational in 2020.

If somebody hacked communications to grid-connected devices and interrupted a demand response (DR) event, peak demand might not be cut, capacity prices could spike and that somebody could make a lot of money. Because of the fast-rising number of grid-connected devices in DR programs like smart thermostats and water heaters and the even faster-rising number of smart phones and other Internet technologies through which customers communicate with DR programs, market manipulations like that are possible, cybersecurity experts from the Electric Power Research Institute (EPRI) told the Demand Response World Forum October 17. It is one of many potential intrusions of communications between utilities and customers with grid connected devices and distributed energy resources (DER), they said. To counter these threats, data analytics experts are using the laws of physics and unprecedented masses of data to find cybersecurity breaches. And their work is leading to machine learning (ML) and artificial intelligence (AI) algorithms which, though only just beginning to find actual deployment, are expected to soon advance the ability to identify patterns to the intrusions and raise the level of protection for critical power systems.

A few steps remain for China's plans for a military expansion into Taiwan with the incorporation of an AI Digital Brain that can connect to the 5G network to power drones, machines, robotics, surveillance systems, and total control of the Taiwanese people. Through IP theft, forced tech transfers, espionage, social engineering, open-source sharing, collaborations, investments, and mergers, China's government has put their tentacles into every country, and every domain and sphere that incorporates trade, and human existence. China's moves against Taiwan and the West links Chip Makers (TSMC) for AI guided Weapons that interconnect Huawei, Baidu, Megvii Face, Sensetime, and numerous tech companies. These tech companies interlink with social engineering of U.S democratic politicians, the penetration of KMT by Chinese and Taiwanese implants, with the laying of the massive groundwork to control Taiwan with AI automated drones, robotics & smart cities on the 5G network. This interconnection includes soft power initiative's at a global level to social engineer reporters, media, politicians, corporate tech leaders and the Chinese citizens to imprint a mental impression that China's 70 year track record of concentration camps, one party system, torture, rape, and Orwellian surveillance, will not transfer over to worldwide Chinese subjugation of humanity. The social engineering also makes the implication, "Chinese government stands by its contracts and words", yet they are breaking their agreement by invading Hong Kong and embedding soldiers within the Hong Kong populous, including Hong Kong police.