PACAF's Integration Division Deputy Chief Ryan Raber revealed at the Genius Machines event on 3 September that the aim is to better and more rapidly predict a potential enemy's possible intentions. The planned mechanism will be used to improve PACAF's decision-making process and will focus on events taking place in the Pacific region, which means Russia and China could be the potential objects of study, the media outlet Defense One pointed out. PACAF itself didn't specify which countries' actions the planned system will try to predict. The system is expected to forecast a potential adversary's actions by detecting irregularities in its routines based on analysis of past and current actions. The process takes days when done by humans, but by computer with AI it can theoretically handle the result in "just minutes".

The world's major powers are in the middle of an artificial intelligence (AI) arms race. Over the next several years, China expects to deploy a fleet of unmanned submarines in contested waters like the South China Sea. Russia has tested its robotic tank on the battlefield in Syria and is reportedly working on developing autonomous nuclear submarines. For its part, the United States is in the process of testing autonomous swarming drones. This development has major implications--not just for how wars are fought, but also for the future of American foreign policy.

Many setups in the San Francisco Bay Area boast that they are planning to change the world. However, OpenAI founded by Elon Musk has made a bigger promise than the rest: It wants to build artificial general intelligence (AGI), an AI system that like humans, can reason across many different domains and apply its skills to unfamiliar problems. For this reason, it announced a billion-dollar partnership with Microsoft to fund its work. This hints that AGI research is leaving the field of science fiction and entering the territory of serious research. "We believe that the creation of AGI will be the most important tech development in human history, with the potential to chaneg and shape the trajectory of humanity," Greg Brockman, chief technology officer (CTO) of OpenAI, informed the press.

There is a growing need for vehicle positioning information to support Advanced Driver Assistance Systems (ADAS), Connectivity (V2X), and Automated Driving (AD) features. These range from a need for road determination (<5 meters), lane determination (<1.5 meters), and determining where the vehicle is within the lane (<0.3 meters). This work examines the performance of Global Navigation Satellite Systems (GNSS) on 30,000 km of North American highways to better understand the automotive positioning needs it meets today and what might be possible in the near future with wide area GNSS correction services and multi-frequency receivers. This includes data from a representative automotive production GNSS used primarily for turn-by-turn navigation as well as an Inertial Navigation System which couples two survey grade GNSS receivers with a tactical grade Inertial Measurement Unit (IMU) to act as ground truth. The latter utilized networked Real-Time Kinematic (RTK) GNSS corrections delivered over a cellular modem in real-time. We assess on-road GNSS accuracy, availability, and continuity. Availability and continuity are broken down in terms of satellite visibility, satellite geometry, position type (RTK fixed, RTK float, or standard positioning), and RTK correction latency over the network. Results show that current automotive solutions are best suited to meet road determination requirements at 98% availability but are less suitable for lane determination at 57%. Multi-frequency receivers with RTK corrections were found more capable with road determination at 99.5%, lane determination at 98%, and highway-level lane departure protection at 91%.

IBM Research labs are part of a tradition where large tech companies had extensive research labs. IBM Research, along with the original Bell labs and the Xerox Palo Alto Research Center (PARC), have developed many innovations. And IBM Research continues that tradition to today. I got to visit IBM's Almaden Research center, nestled in a bucolic part of the south San Jose area, up on a hillside, surrounded with fields of grazing cattle and a thin fog from the Pacific Ocean just over the Santa Cruz mountains. But in that lab a lot of amazing research is underway. This lab is also noted for a critical invention - the Winchester disk drive - that revolutionized storage in mainframe computers, and which eventually scaled down to personal computers.

The U.S. government is spending millions of dollars on creating intelligent missiles - which will determine for targets for themselves. The Cannon-Delivered Area Effects Munition (C-DAEM) system will use GPS to identify enemy tanks and armoured shells, which will be scanned in advance from the skies. According to sources, the Pentagon will invest vast sums into the AI-guided munitions, which could be ready by 2021. They will replace the Dual-Purpose Improved Conventional Munition (DPICM) artillery rounds, which were introduced in the 1980s. Cannon-Delivered Area Effects Munition system: The U.S. government is spending millions of dollars on creating intelligent missiles - which will determine for targets for themselves C-DAEM is a 155-millimeter artillery shell, and will be available for the M777 towed howitzer, the M109A6 Paladin self-propelled howitzer, and the new XM1299 self-propelled howitzer, which has a range of up to 43 miles.

Indian cab aggregator Ola on Tuesday said it had acquihired Bengaluru-based artificial intelligence startup Pikup.ai. As part of the deal, the team at Pikup.ai will join Ola. Speaking on the acqui-hiring, Inder Singh, Co-founder, Pikup.ai, said, By bringing deep domain expertise to Ola, this acquihire will also deliver innovations that continue to improve safety and transform customer experience. The cab aggregator also said it was increasing its focus on using advanced analytics and deep technology to build on its mobility solutions. With the availability of rich data, the application of machine learning and AI will enable the ride-hailing giant to identify deep insights that can lead to improved mobility outcomes.

What is it exactly that makes humans so smart? In his seminal 1950 paper, "Computer Machinery and Intelligence," Alan Turing argued human intelligence was the result of complex symbolic reasoning. Philosopher Marvin Minsky, cofounder of the artificial intelligence lab at the Massachusetts Institute of Technology, also maintained that reasoning--the ability to think in a multiplicity of ways that are hierarchical--was what made humans human. Patrick Henry Winston begged to differ. "I think Turing and Minsky were wrong," he told me in 2017. "We forgive them because they were smart and mathematicians, but like most mathematicians, they thought reasoning is the key, not the byproduct." Winston, a professor of computer science at MIT, and a former director of its AI lab, was convinced the key to human intelligence was storytelling. "My belief is the distinguishing characteristic of humanity is this keystone ability to have descriptions with which we construct stories. I think stories are what make us different from chimpanzees and Neanderthals. And if story-understanding is really where it's at, we can't understand our intelligence until we understand that aspect of it."

Reno, NV, July 30, 2019 (GLOBE NEWSWIRE) -- via NEWMEDIAWIRE -- Artificial Intelligence Technology Solutions, Inc., (AITX:OTCPK) is pleased to announce that Robotic Assistance Devices, Inc., (RAD) its wholly owned subsidiary, has received a new purchase order and subsequently deployed three SCOT units at a new multi-billion dollar real estate client. This follows the deployment of the SCOT mentioned in the February 5, 2019 press release, which was for a San Francisco Bay area commercial real estate customer. This client has indicated they are likely to expand their RAD system quickly. "We are gaining good momentum in the real estate vertical," said Steve Reinharz, President and CEO of RAD. "This is a new commercial real estate order and the first in the Northeast of the U.S. This is a large sector that has the potential to greatly increase sales for the company in the future."

A lot of startups in the San Francisco Bay Area claim that they're planning to transform the world. San-Francisco-based, Elon Musk-founded OpenAI has a stronger claim than most: It wants to build artificial general intelligence (AGI), an AI system that has, like humans, the capacity to reason across different domains and apply its skills to unfamiliar problems. Today, it announced a billion dollar partnership with Microsoft to fund its work -- the latest sign that AGI research is leaving the domain of science fiction and entering the realm of serious research. "We believe that the creation of beneficial AGI will be the most important technological development in human history, with the potential to shape the trajectory of humanity," Greg Brockman, chief technology officer of OpenAI, said in a press release today. Existing AI systems beat humans at lots of narrow tasks -- chess, Go, Starcraft, image generation -- and they're catching up to humans at others, like translation and news reporting.