If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
WEST LAFAYETTE, Ind. - 3D manufacturing technology from a Purdue University-affiliated company may soon play an even bigger part in helping the Department of Defense manage its digital assets to protect the United States. Imaginestics LLC, a software company headquartered in the Purdue Research Park of West Lafayette, has received a $1.5 million SBIR (Small Business Innovation Research) Phase II grant through the U.S. Air Force. The award comes after the company was hired in 2017 to create a new system for the Air Force to better manage additive manufacturing (AM). "Imaginestics' mission is to build artificial intelligence-powered solutions for managing digital assets, which aligns perfectly with the needs of the Air Force," said Jamie Tan, CEO and co-founder of Imaginestics. Jason Mann, additive manufacturing technical lead for the 76th CMXG Reverse Engineering and Critical Tooling (REACT) lab at Tinker Air Force Base, said, "Imaginestics is building an Additive Manufacturing Advisory System (AMAS) that will provide the Air Force with a method of effectively storing, manipulating and presenting AM data in a form useful to AM engineers. It will provide provenance for AM parts, the ability to see trends in AM equipment performance, and manage the workflow for AM and reverse engineering tasks. Hosting the software on the AWS GovCloud will allow other depots to utilize the software to share AM data between all organizations involved in AM, while also supporting downstream processes that go with AM to minimize depot maintenance cost."
In the not too distant future, we can expect to see our skies filled with unmanned aerial vehicles (UAVs) delivering packages, maybe even people, from location to location. In such a world, there will also be a digital twin for each UAV in the fleet: a virtual model that will follow the UAV through its existence, evolving with time. "It's essential that UAVs monitor their structural health," said Karen Willcox, director of the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin (UT Austin) and an expert in computational aerospace engineering. "And it's essential that they make good decisions that result in good behavior." An invited speaker at the 2019 International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), Willcox shared the details of a project--supported primarily by the U.S. Air Force program in Dynamic Data-Driven Application Systems (DDDAS)--to develop a predictive digital twin for a custom-built UAV.
While many – if not most – Federal agencies are taking at least preliminary steps towards embracing advanced technologies like artificial intelligence (AI) and machine learning (ML), they are moving with a degree of justifiable caution when it comes to relying on those technologies as part of their cybersecurity defenses, government tech officials said today at an event presented by Fortinet. The measured pace of AI and ML for security purposes is tied to the crucial nature of the cybersecurity mission, panelists said. Frank Konieczny, Chief Technology Officer at the U.S. Air Force, said that ML tech in particular requires establishing baselines for access and security to be sure that adversaries are not already impacting relevant data. And, he said, resulting data outputs from ML applications can still be somewhat opaque, and need to be examined more closely by human operators. "You ask, 'how did it figure that one out,'" he said, adding that process results in "a lot of time … by a human looking at [the result] again, which we don't want to do."
Fox News Flash top headlines for Nov. 23 are here. Check out what's clicking on Foxnews.com The U.S. military announced Friday it lost an unarmed drone over Tripoli, the Libyan capital -- the site of a months-long battle between the Libyan National Army and militias allied with the United Nations-supported government. The U.S. Africa Command said the remotely piloted aircraft was part of an operation conducted in Libya to assess the area's security and monitor for violent extremist activity. They didn't give a reason for the drone loss on Thursday, but the command will be investigating.
The Air Force has signed a deal with Trueface, a developer of computer vision systems, to provide facial recognition, license plate recognition and weapon detection for an unnamed air base. This comes after the Air Force hired the company earlier this year to conduct research on how to use facial recognition software on bases. The new pact was built out of the initial research they worked on this year, according to a Medium post from Mason Allen of Trueface. Both the Air Force and Trueface declined to say which base the technology would be used but Shaun Moore, CEO of Trueface, said the company had more plans to work with the government and military institutions on these kinds of projects. "The goal here is to protect the assets and people on base," Moore said in an interview.
Military drones or unmanned aerial vehicles have been around for a long time and their first tactical use with reconnaissance cameras was tested by Israeli Intelligence in the late 1960s. Israel continued to develop the technology, successfully using it to neutralize Syrian air defences at the start of the 1982 Lebaon War. The U.S. military also adopted it, successfully using the Israeli-developed Pioneer UAV for real-time intelligence over Iraq, Bosnia and Kosovo during the 1990s. It was only a matter of time until weapons were first deployed on U.S. drones and this occurred immediately after 9/11 when Osama bin Laden was observed from an unarmed Predator. They, along with their larget successor the Reaper, were subsequently equipped with Hellfire missiles, attacking a host of targets across Afghanistan, Pakistan, Iraq, Somalia, Yemen and Libya.
Firm leverages AI technology similar to facial recognition to figure out which small molecules can bind most effectively with targeted enzymes. Does the future of drug development lie in a kind of facial-recognition technology for enzymes? That is the hope of X-37 LLC, a drug-development startup that is using artificial intelligence and a deep neural network developed by San Francisco-based Atomwise. "We think that this is an approach and a technology that is really going to transform drug discovery across the board," said Dr. David Collier, CEO of X-37, which is partly owned by Atomwise and is based in South San Francisco, California. It was founded last year.
The AI Organization's AI bio-metric scans of the human brain have decoded a bio-logical structure in the pineal gland that interconnects throughout the neural network of the human brain. We have termed the entire interconnection as the Human Bio-Digital Network, as outlined in the book ARTIFICIAL INTELLIGENCE Dangers to Humanity. Google researchers, some CIA operatives and Air Force prototype fighter pilots have used wearable devices that interconnects with the pineal gland in order to control IoT's, networks or an airplane with their mere thought alone. Historically it was deemed as a process of connecting with brain waves on wearable devices, yet the Pineal Gland is a very key component to this process. For decades scientists have been baffled as to the reason why the Pineal Gland carries components similar to an eye, yet no real physical eye exists in the forehead.
It's That Time of Year Again--Fall Is Here and Packs of Robot Dogs Are Frolicking in the Leaves James Vincent The Verge "There's nothing I like more on bright and cold autumnal days than heading down to the park and watching the robot dogs playing in piles of leaves. To hear the scuttle of their little metal legs! To imagine the joy in their tiny silicon brains! The World's First Gattaca Baby Tests Are Finally Here Antonio Regalado MIT Technology Review "Anxious couples are approaching fertility doctors in the US with requests for a hotly debated new genetic test being called "23andMe, but on embryos." Elon Musk Says Building the First Sustainable City on Mars Will Take 1,000 Starships and 20 Years Darrell Etherington Tech Crunch "Addressing a question about comments he made earlier this week at the US Air Force startup pitch day event in California, Musk said that his stated launch cost of only around $2 million per Starship flight are essentially required, should the final goal be to set up a'self-sustaining city on Mars.'i"