Ancient War Machines Since the beginning of warfare, military planners and generals dreamed of engineered machines to destroy military enemies first before they could inflict any destruction upon their own military forces...Read more
Is (AI) the answer to USA’s Military’s Superior War advantage? What is AI all about?
The DOD document reads “AI is rapidly changing a wide range of businesses and industries,” It is also poised to change the character of the future battlefield and the pace of threats we must face.” A recent Law Seminar Overview texted that Artificial Intelligence (AI) is one of the fastest-growing industries today. It is slated to add more than $15 trillion to the economy over the next six years. The demand has never been higher for lawyers who understand Artificial Intelligence, Chat GPT, and related topics. As just an example, ChatGPT has written recipes, screenplays, computer code, and essays, and even passed a law school final exam. Clients ranging from Fortune 500 companies and governments to individuals and start-ups need counsel in this thriving practice.“
Law firms are always looking for new markets to enter and make Legal fees. The following elements that they will seek to dominate; namely, legal issues involved with machine learning, data science analytics, handling AI disclosures, current case law & regulations affecting the new (AI) industry, and ethical considerations. Since lawyers politically control the US courts, they will add to this dysfunctional force against innovation and the growth of the US GDP. The American Pentagon’s AI Strategy defines (AI) Artificial Intelligence and Machine Learning as “the ability of machines to perform tasks that normally require human intelligence. (AI) enables humans to make educated decisions by parsing through information and delivering relevant data at mission speed.”
US Funding for (AI)
US Congress made a bet that more money to US Defense contractors will bring innovation for Hypersonic Weapons, Artificial Intelligence for C4ISR battlefield decision-making, and explosive drone targeting of the US and NATO Military’s battlefield adversaries (Russia, China, North Korea, and Iran). The 2023 defense policy bill forces intelligence leaders to create a written policy statement promoting the “use of code-free artificial intelligence enablement tools.” The policy lists incentives, lay out a coordination plan, and arrives in the 4th Quarter. The bill allows the director of national intelligence agencies new duties to review AI-related policies, standards, and procedures relating from acquisition to maintenance. In addition, Congress required original reporting and auditing requirements to assist the members of Congress review how the intelligence community is integrating (AI) Artificial Intelligence.
The DOD document reads “AI is rapidly changing a wide range of businesses and industries,” It is also poised to change the character of the future battlefield and the pace of threats we must face.” In 2016, the US Defense Department realized a need to work with the Silicon Valley Software VCs and firms that helped China modernize and develop its own (AI) capabilities. Starting in 2018, Oracle, Intel, Google, Amazon, and Menlo Park (AI) start-ups made outreaches to the US Centralized Government to bid on multi-billion dollar projects in developing (AI) solutions. That effort appeared not to be credible and in 2018 the DOD set out to create its own controlled Joint (AI) Center located at 1400 Defense Pentagon, Arlington, VA 22202. In 2019, the U.S. Department of Defense embraced artificial intelligence. The Pentagon had a lengthy process of establishing a Joint Artificial Intelligence Center (JAIC) to unify research efforts across its Land, Sea, Air, and Space military services. The 2020 budget was set at $927 million for new artificial intelligence (AI) and machine learning technologies. The actual amount spent was $1,000,000,000.. . On June 1.2022, the Joint Artificial Intelligence Center, a high-profile focus point for AI adoption across the Pentagon, and the DDA (Defense Digital Service) and ADVANA (Office of Advancing Analytics) teams merged into the CDAO(Chief Digital and Artificial Intelligence Officer. officer.) Appointed were John B. Sherman, DOD's chief information officer, and Craig Martell, DOD's chief digital and artificial intelligence officer (CDAO). Martell is tasked “ with leading and overseeing DOD's strategy development and policy formulation for data, analytics, and AI; breaking down barriers to data and AI adoption within appropriate DOD institutional processes; and creating enabling digital infrastructure and services that support Components' development and deployment of data, analytics, AI and digital-enabled solutions.” Sherman noted that “the CDAO has his hands full of real-world operational requirements, including such diverse things as the war in Ukraine, business analytics, counter unmanned aerial systems and data governance. Sherman mentioned that his and Martell's work involves a lot of coordination and communications with the military services, the Defense Information Systems Agency, and combatant commanders regarding everything they do, such as the Artificial Intelligence and Data Accelerator and digital services. They are the ultimate customers.” The team, Sherman continued, “constantly thinks about what sort of AI and machine learning capabilities would help them get ahead of specific problem sets, which will vary from combatant command to combatant command.” According to Defense ONE, “Not everyone in the Defense Department shares Martell’s apprehension on AI and large language models. Just a day before, Lt. Gen. Robert Skinner, the head of DISA, gave a speech that was partially written by ChatGPT. Speaking to reporters during a roundtable discussion on Wednesday, he said, “I'm not scared generally about it… I think it's gonna be a challenge,” for the Defense Department to use AI correctly, but the challenge is one the Defense Department can rise to. “What I'm cautious of is: this has to be a national-level issue.”
The Defense Information Systems Agency(DISA) is deeply concerned now that “adversarial use of AI by countries like China, combined with new technologies like quantum computing, could outpace U.S. efforts. One of DISA’s key future research efforts is new forms of encryption that can withstand the power of AI models running on advanced (though not yet real) quantum computers.”
With the battlefield testing of U.S. UAVs in the DOD’s War in Ukraine, the USAF, USN, and USArmy are testing a range of autonomous aircraft—from expensive high-end aircraft to less costly lower-end systems. Steve Trimble a journalist for the Aviation Week Network said, “There's the software itself. AI agents and the AI algorithms that will be used as the pilot on these aircraft, making certain decisions, and being allowed to have a certain degree of autonomy over how they fly and perform the mission. And then there are the platforms themselves. And then beneath that, there are the enablers, like cheap turbofan engines, or new types of sensors that are also relatively cheap, or in some cases, even more powerful. So, the thing that we learned about probably the most during the show is the platform side. As you walk around the exhibit hall at AFA last week, you got to see these categories of options that the Air Force could select.” Even with a massive$745-billion-dollar defense budget, the various agency managers from DISA and the Pentagon report to defense Contractors that cost is the key to technology projects that defeat the enemy. For example, a multi-purpose UAV “with one type of wing, one type of airframe, one type of engine, and inlet configuration. But then, if you wanted to do deep surveillance, you could take off this wing, take off this fuselage section, and bolt on more of a flying wing configuration, with a different inlet structure, and everything.” The “dream” of the Pentagon and Defense contractors is to have the battlefields of the present and future controlled by robots with (AI) human-like reactions as human warrior fighters. Further, with the use of integrated space, air, and ground (AI) networks, the destruction of the enemy can be eliminated quickly and new territories gained by the USA and EU Multinational corporations. In the USA-created Ukraine battlefield of Eastern Donbas, they are testing their military stockpiles and new, sensors, SATCOM-MILCOM platforms, sensors, UAVs, and weapons in anticipation of a future war with China and Russia on their territories. Without global wars and innovations, western economic growth will decline and media elements that kept their societies pacified with diversionary pursuits, will result in revolutions.
TOP US Defense Contractors
: According to the Defense Market Outlook 2022 - 2026 – Report, “the USA defense industry will reach $2 trillion by 2026. (In 2023, with the US War in Ukraine, it is growing at a greater rate) then the average year-on-year rate greater than 1.1%. Since 1985, the demand has grown by an average of 2.4% annually. In 2021, the United States led the ranking with a defense expenditure of $739 billion.” The US Military is doing more collaboration with Defense companies such as Lockheed Martin, and Raytheon for NEXTGEN ISR and Precision Strike and open Architecture that is easy to attack and to render inoperable. To speed up the introduction of new configurations quickly to meet new technology threats, the view of experts is to use existing platforms such as the F-16 and to move towards modularity. The vision is that of a puzzle where technology can move and new technology inserts. – An interesting concept but what of the test that is needed before air and space platforms are launched with live crews? How can the greatest military in the world have a tactical edge in Data, Networks, High Bandwidth, AI, and Sensors when those very technologies were jointly invested and developed in China by the Silicon Valley firms? This has bothered me for some time. US Military has gone down this road of “COTS” now repackaged as “open architecture” that both none Defense companies and Defense companies can collaborate on. In other words, open and non-secure. T7 Manufacturing Program for the USAF is a digital method by Boeing to design and build the T-7 Trainer saving time, simplifying processes, improving quality, and cutting down on defects, company officials told reporters. “Everything’s in 3D, everything’s digital,” Boeing vice president and T-7 program manager Paul Niewald said. “It’s an authoritative source of data. So, our technical publications, our flight manuals, our service manuals, they all use the same data that the engineers are using, that our mechanics are using to build the airplane.” The idea is to use an existing platform in a modularity environment using AI and systems to systems process. The “cost of the T7 Hawk is $9.2 billion and would be paid to Boeing if the USAF took all of the options that would allow it to buy more aircraft at a quicker pace, purchasing all 475 airplanes, at about $19.3 million per unit.” The reality is that it takes ten years from the award to Defense Contractors for new platforms to actual field operations. From a historical view, cost overruns occur.
Although public discussion on the USAF program is secret and forms such as the AFA War Forum, consist of 80% Public Relations and 20% truth, from my perspective from a hands-on field consultant, the USAF appears to be five to seven years behind the battlefield utilization of ISR, AI, and overall trained personnel capabilities. (You cannot build a Military proficient team based on quotas of gender, race, and national origin. Unlike China, America is not a homogenous society but continues to be un-stabilized by educational and political top-down thinking.
Hypersonic missile development in the USA has failed in reported test results. However, on 3/18,2022, News sources reported that Russian forces launches a Kinzhal Mach 10 hypersonic missile to destroy an Underground Munitions Depot of Long-Range Missiles, Man pads, stingers, javelins, &assorted NATO arms & ammunition near the Western Ukraine city of Ivano-Frankivsk Ukraine. That was not good news. If Russia has a hypersonic, you can be sure that the PLA also has one but under a different name. The Patriot and Thad are not long range but to save time new propulsion will make them longer-range to reach Russia. This again will take time. The good news is The U.S. “Missile Defense Agency successfully launched the most advanced version of the Patriot missile from a Terminal High Altitude Area Defense (THAD) system in a Feb. 24 test at White Sands Missile Range, New Mexico, Lockheed Martin stated.” It appears that the US missile forces will now focus on the offensive with increasing target range versus when the Cold War ended with agreements on assured destruction and only defensive Missile systems. Raytheon will introduce the AMRAM D-e Long Range Missile at the Air Weapons layer. The NC3 System referred to as “the ability to deliver nuclear weapons anywhere in the world is provided by the U.S. nuclear triad, which consists of three legs: ground-based intercontinental ballistic missiles, aerial bombers, and submarines. However, it is antiquated and cybersecurity threats from Russia and China are a reality according to Senator Angus King.
Raytheon Technologies (NYSE: RTX) announced on April 24, 2023, the launch of “RAIVEN, a revolutionary electro-optical intelligent-sensing capability, which will enable pilots to have faster and more precise threat identification. RAIVEN can identify objects optically and spectrally simultaneously in real-time — a single electro-optical/infrared, or EO/IR…, RAIVEN's 'intelligent-sensing' capability uses (AI) artificial intelligence, hyperspectral imaging, and light detection and ranging, or LiDAR, to enable operators to see up to five times farther and clearer than traditional optical imaging. This helps increase platform survivability and gives the warfighter decision advantage over peer threats. The future battlespace will consist of a myriad of threats from all directions evolving at an unprecedented pace," said Torrey Cady, vice president of Surveillance and Targeting Systems at Raytheon Intelligence & Space. "RAIVEN improves platform survivability and keeps the warfighter safe by providing accurate, persistent target observation coupled with accelerated information sharing. This combination enables a decision-making process that simultaneously reduces pilot workload while accelerating engagement decisions to prosecute targets much faster than adversaries (Russia, China, North Korea, and Iran)."
Steve Trimble said that “Lockheed Martin had shown things like their next generation UAS. They're both sort of flying wing-type things. Very generic, really, at this point, which is what you'd expect. But that's the exquisite level. That's in the hundreds of millions of dollars each. So, like the MQ-25 for the US Navy carrier-based tanker, that's also uncrewed. That's 125 million dollars per aircraft. These would be in that category.” Further, he envisioned “...could be fielded first for adversary air, with one type of wing, one type of airframe, one type of engine, and inlet configuration. But then, if you wanted to do deep surveillance, you could take off this wing, take off this fuselage section, and bolt on more of a flying wing configuration, with a different inlet structure, and everything. So, that's the idea.”
In May 2021, the “Boeing Airpower Teaming System, otherwise known as the Loyal Wingman project, is a stealth, multirole, unmanned combat aerial vehicle. This military aircraft is Boeing's first unmanned system to be designed and developed in Australia. The prototype is also Australia's first domestically developed combat aircraft since World War II. Although still under development, the Loyal Wingman’s mission is to fly alongside manned jets and work as a team.”
AI, Space, JADC2, Advanced Battle Management (ABMS), Future Vertical Lift (FVL)-‘Northrop Grumman is developing and integrating leading-edge artificial intelligence and machine learning solutions into large, complex, end-to-end mission systems that are essential to our national security.” Under a DARPA contract, “Northrop Grumman, in partnership with the University of Central Florida (UCF), will develop an Operator and Context Adaptive Reasoning Intuitive Assistant (OCARINA) that will support UH-60 Blackhawk pilots, who fly with both visual and instrumented flight, which varies with the weather, time of day and other environmental factors.” Using powerful, proven algorithm development and implementation processes, NG originates and integrates high-quality AI solutions into large, complex, end-to-end mission systems that are essential to U.S. national security.
Northrup Grumman’s (AI) artificial intelligence systems are developed using responsible (AI) standards. The (AI) top secret workforce must not only know how to develop new (AI) software code but must understand the mission of NG and the DOD. Only mission-focused AI engineers are hired and then trained for operational results. NG has a high standard of control in developing Military solutions that apply (AI)
Since 2008, AI has been on the minds of software developers and Silicon Valley. Finally, DOD leaders confess “artificial intelligence playing an ever-more-important role in everything from logistics, cyber defense, and command and control real-time battlefield decision making From flying planes to finding targets, artificial intelligence might help, but the U.S. Defense Agency and the Military forces do not have American-trained programmers and software engineers. Over the years, Defense contractors have hired Software Engineers from third-party outsourcing Indian and Chinese firms. From my hands-on knowledge, secret projects are not secure with this workforce; however, contracts are won and timetables must be met. There are also practical and strategic questions. How do you trust the data that is behind the AI result? Where is the DATA coming from intelligence satellites and do you have the meshed network in place to package the data for immediate command and control on the battlefield? Enlistment of “truly educated personnel” to be operators is lacking. The pay is low, and the military has a difficult time keeping enlistments to retirement. The Department of Defense has been struggling for years to modernize its huge bureaucracy.
(ESA) -SATAVIA LTD
“SATAVIA’s exceptional team combines talent in (AI) artificial intelligence, data science, data and software engineering, and atmosphere and climate science.SATAVIA is supported by Microsoft in the UK and France through its involvement in the (AI) Artificial Intelligence Factory – part of Microsoft for Startups. ATAVIA is working with Rolls-Royce and GKN Aerospace on an Aerospace Technology Institute project (DE-ICER) focused on tackling the formation of ice crystals that can damage an aircraft.SATAVIA recently launched a European Space Agency (ESA) Demonstration Project for capability demonstration …” .
China has a goal to be Technology Center for AI. According to the book, Red-Handed, Yale graduate Zhang Lei with approval from Xi, was a Board member of the China-US Exchange Foundation (CUSEF) and invested $45,000,000 to the Renmin University Gaoling School of Artificial Intelligence supported jointly with the Association for Science and Technology. Silicon Valley has been investing in China for years, especially in Artificial Intelligence companies that are fronts for the PLA.U.S. Venture Capitalist helped China’s (AI) vision. “Sequoia Capital of Menlo Park invested in Horizon Robotics that again was connected to the PLA whose CEO, Yu Kai served as the Deputy of Chinese Association of Artificial Intelligence (CAAI), and its chairman was Major-General Li Deyi” China has stated clearly in its 5year plan “to develop software and application of high-performance computers, comprehensively propelling AI toward the battlefield.” (The USAF Space Force is attempting to do the same but, in my opinion, has fallen short of that goal) AI would help the Xian developed Jet (J-20) to “speed on screen mobile target selection by more than 50 percent and improve accuracy by nearly 80 percent.”
I worked in Silicon Valley for 30 years and can state without reservation that the Tech Giants have always been a party that has helped China arm itself to be paired with the technology of the US Military. Many examples exist; namely, in 2018 Alphabet invested in (AI) research at Tsinghua University. Tsinghua Tong Fang, a lab under the university, “supplies military communications control equipment and electronic countermeasures and satellite navigation equipment to the PLA.” I traveled to Fudan China. Fudan University. Fudan is a town “wedded to the Chinese military.” According to Red-Handed, Google invested in AI on that campus.- ironies of ironies, Eric Schmidt was a featured Keynote speaker, “Accelerating AI” at the AFA Warfare Symposium on March 3, 2022.
The billionaire Bill Gates also spread his Microsoft winnings in building research campuses of Software Technologies to train Chinese Engineers and Artificial Technologies. Further, he formed a partnership with the China Technology Group (CETC), which is known as a research arm for the PLA and CETC’s first Atomic Bomb built for China. Gates again moved to help China’s Nuclear Power Corporation which has developed a thorium Molten-salt reactor program to propel PLA’s drones and the Navy’s future (ten) aircraft carriers. Without the conduit of legal and illegal technologies from Silicon Valley, the PLA, and China’s Navy would never have leap-frogged over the US and NATO's imagined supremacy. (I addressed some of these topics with my books, “Angels in the Silicon” and “Man of Seven Shadows"
. Since 2014 and even earlier, Russia has invested in and funded Artificial Intelligence (AI) Software Firms.“DevOps is a portmanteau term of “development” and “operations”. At its core, it is a cultural philosophy that is an amalgamation of practices and tools. These enable an organization to accelerate the delivery of applications and deliver increased customer satisfaction. Essentially DevOps focuses on agility, automation, and collaboration within IT and development team processes. A solid DevOps strategy benefits an organization in several ways. From streamlining the end-to-end delivery pipeline to automation and continuous release and deployment, DevOps takes the leg work out of the software development process. It allows organizations to reap the benefits of customer satisfaction with improved core software quality, collaboration among teams, and faster delivery. Hence, DevOps has truly emerged to be a crucial component for the growth of an organization.” Some of the AI firms researched were Vast Dreams, Working Geek, ISS Art, Brouton Lab, Envion Software, Napoleon IT, and Inventale. With the closure of any avenues of solid military research awareness of Russia’s military (AI) research, I recommend further intelligence sources in the DOD, EU, and China to guide further research.
Space travel, exploration, and observation involve some of the most complex and dangerous scientific and technical operations ever carried out. This means that it tends to throw up the kinds of problems that artificial intelligence (AI) is proving itself to be outstandingly helpful with. Because of this, astronauts, scientists, and others whose job it is to chart and explore the final frontier are increasingly turning to machine learning (ML) to tackle the everyday and extraordinary challenges they face.
So, from steering rockets through space to studying the surface of distant planets, measuring the size of the universe, and calculating the trajectories of celestial bodies, here are some of the most interesting and exciting use cases for AI in space. SpaceX uses an AI autopilot system to enable its Falcon 9 craft to carry out autonomous operations, such as docking with the International Space Station (ISS), where it is contracted to carry out cargo deliveries for NASA. The system calculates the trajectory of the rocket through space, taking into account fuel usage, atmospheric interference, and "sloshing" from liquids within the engine. CIMON 2 is a robot designed by Airbus and can be thought of as a mobile, Amazon Alexa-style virtual assistant for astronauts in space. Built using IBM’s Watson AI system, it navigates using fans to propel itself within spacecraft interiors and acts as a hands-free information database, computer, and camera. It can even assess astronauts' emotional states by analyzing stress levels in voices. AI is leveraged by mission planners at the NASA Jet Propulsion Laboratory to model and assess a wide range of mission parameters to understand the possible outcomes of different choices and courses of action. These experiments are used to inform design and engineering operations for future spacecraft. The data that’s gathered is also used in planning for some hypothetical future missions, including landings on Venus and Europa, an icy moon orbiting Jupiter. SpaceX uses AI algorithms to ensure that its satellites don’t collide with other orbital or transitionary objects in space. Their autonomous navigation systems enable them to detect nearby hazards in real-time and take evasive action by adjusting the speed and trajectory of the satellite. The UK Space Agency has also developed autonomous systems that allow its spacecraft and satellites to take autonomous action to avoid space debris. In 2025 it plans to build on this work by launching an autonomous craft with a mission to capture and clear up space debris, a problem that could pose a threat to the future of spaceflight if left unchecked.
“Mars Rovers are robots that explore the surface of the red planet, sending data back to Earth where we can analyze and learn from it. These robots can autonomously navigate the terrain, thanks to ML algorithms, avoiding craters and drops that could damage them or put them out of action. Thanks to this, NASA has so far avoided the accidental loss of another Rover, as happened with Spirit in 2011.In recent years, NASA’s Jet Propulsion Laboratory has used image recognition tools to study pictures captured by surface robots like the Mars Rovers and classify features of the terrain. This includes one crater on the surface of Mars measuring just four meters across.The Rover Perseverance is equipped with a computer vision system called AEGIS that can detect and classify different types of rock found on the planet's surface, enabling us to learn more about the composition of the planet.It has even been possible for us at home to get involved with training the AI algorithms used by the Mars Rovers. The AI4Mars initiative invited users to download a tool that let them label terrain features to improve the autonomous guidance systems on board the Curiosity rover.
While most surface exploration has been done on wheels so far, the European Space Agency is experimenting with the use of “hopper” robots that navigate using legs and can perform leaps. (AI) algorithms coordinate the movement and balance of the robot’s four legs, which could be used to explore previously unnavigable locations on the moon, such as the mountainous Aristarchus Plateau. (AI) has been used to examine the surface of the moon to identify the best potential landing sites for future manned missions. This will allow astronauts to be sure they will know much more about the environment where they will touch down as Neil Armstrong and others did during previous visits.”
Navigating the Cosmos
“Astronomers use (AI) to map the universe by recognizing patterns in star clusters that form distant nebulae and classifying other features that are detected in deep space. One example is NASA's Kepler telescope which has been used to identify the likely location of planets by analyzing dips in light emitted by stars, indicating a planet is passing between the star and us. (AI) is also used to predict the behavior of stars and galaxies, helping to understand where cosmic events such as supernovae are likely to occur. Dozens of black holes have been detected using time series analysis of ripples in gravitational waves that are caused when these mysterious objects collide with neutron stars.AI technology is used to look down at Earth as well as out into the cosmos. A project known as the Autonomous Sciencecraft Experiment has been operational since 2004 when it was connected to the Earth Observing 1 satellite to allow it to autonomously classify images captured with its camera. This enabled it to make decisions about which images it was worth expending valuable bandwidth transmitting back to Earth.”
“The SETI@Home project, run by the University of California, Berkley, is using AI algorithms to search for signs of extraterrestrial intelligence among the huge volumes of radio telescope data collected from space. Although the project has stopped sending out new data for volunteers to examine, huge volumes of data consisting of the project's findings are still yet to be analyzed. The truth may still be in there! (AI) was used to construct the most accurate images so far of a black hole. Roger Penrose, Reinhard Genzel, and Andrea Ghez received a Nobel Prize in 2020 for their work constructing realistic images of the supermassive black hole at the center of Galaxy M 87. And far from stopping there, science is now intending to go beyond the event horizon, using AI to reveal what lies within a black hole’s interior. The work will also involve quantum computing and could help physicists solve one of their greatest problems – unifying Einstein’s general theory of relativity with the Standard Model of particle physics. It’s even hoped that AI will help with measuring the universe and gaining a better understanding of its size and shape. Research carried out on astronomical data in Japan using AI supercomputers has successfully created simulated maps that match the universe that we already know exists. This means we can predict features of the universe beyond the limitations of what we can currently see due to the speed of light (observable universe).”
China – Crime
“Scientists in China have reportedly built a machine ‘prosecutor’ that uses (AI) artificial intelligence to press charges. The system can file a charge with 97% accuracy when given a verbal account of events, researchers claim. The machine was ‘trained’ using information compiled from more than 17,000 cases from 2015 to 2020 and can correctly file charges for Shanghai’s eight most common crimes, including credit card fraud, theft, and “picking quarrels and provoking trouble,” according to research published March 2022 in the domestic peer-reviewed journal Management Review.
The (AI) prosecutor was developed and tested by the Shanghai Pudong People’s Procuratorate, China’s biggest and busiest district prosecution office, the South China Morning Post (SCMP) reported. The paper noted that the system could even run on a desktop computer. It works by identifying and pressing charges against a suspect based on 1,000 ‘traits’ obtained from the case description text that is fed to the machine. Much of this text is either too small or too abstract to make sense to people. According to the project’s lead scientist, Shi Yong, the system can potentially shoulder the prosecutors’ daily workload and free them up to focus on more demanding tasks. Shi and his team at the Chinese Academy of Sciences’ big data and knowledge management laboratory noted that the tech would soon get upgrades to become powerful enough to recognize fewer common crimes and file multiple charges against a suspect.”
“A drug development using (AI) Artificial Intelligence needed just six hours to come up with 40,000 potentially deadly chemical weapons. The authors of the paper, published in Nature Machine Intelligence, said that“they'd carried out the ‘thought experiment’ to figure out if artificial intelligence (AI) could be misused by evil actors. And the results their work produced have proven that the danger is real. As part of the study, the usual data was given to the AI, but it was programmed to process it differently, looking for toxic combinations. “In less than six hours after starting on our in-house server, our model generated 40,000 molecules that scored within our desired threshold,” the paper said. It came up not just with the VX compound, which is one of the most dangerous nerve agents ever created, but also with some unknown molecules, “predicted to be more toxic.” “This was unexpected because the datasets we used for training the AI did not include these nerve agents,” the researchers pointed out. The findings were so alarming that the team had serious doubts about even making them public, said Fabio Urbina, the lead author of the study. “The dataset they used on the AI could be downloaded for free and they worry that all it takes is some coding knowledge to turn a good AI into a chemical weapon-making machine,” Urbina pointed out.
Market Intelligence Research
Ryan Welsh, Founder and President of KYNDI, was interviewed by GMCStreamTV, on Youtube. In the Video, Welsh, a remarkably astute (AI) & Machine Language, answered key questions. Where is the progress being made today utilizing AI within the Military Defense arena? How close are we to building weapon systems that think just like humans? Can these systems teach themselves various military field combat patterns that they can react to? (speech, hearing, motion, etc.) How disruptive do you see this AI technology as it applies to Space Technology as we know it now?
Silicon Valley Software Start-up, Kyndi, has fine-tuned its business plan. In 2023. Kyndi is a creator of the leading AI-powered and human-centered platform that empowers people to do their most meaningful work, today announced that it has been awarded the North America Entrepreneurial Company of the Year by research and consulting firm Frost & Sullivan. Kyndi was acknowledged for its game-changing Kyndi Platform for the Natural-Language-Enabled Enterprise, its customer-centric approach, and strong overall performance.
Using Kyndi’s (AI) Market Intelligence Research tools, Corporations can “turn market analysis into a competitive advantage. Validate product features and increase market traction using accurate and timely search results identified from internal knowledge repositories and external market resources, including websites, industry reports, and conference data. Achieve faster time to actionable insights and capture new business opportunities with more accurate, comprehensive search outcomes.
Will (AI) be a software development that changes War and Commerce?
A considerable amount of time will be needed to merge the CDAO into the mindset of Defense contractors to take self-motivation to merge (AI) into Military Defense Systems. Is it now being used in the Ukraine War to give the U.S. and NATO an advantage on the battlefield? I can write at this time and state the negative. However, I can conclude that a test of (AI) platforms will be used in Ukraine to fine-tune the operational efficiency to destroy Russian troop formations and mobile systems.
US, Canadian, Israeli, and French Corporations invested heavily in dollar investments, transfer of patents, and technology that resulted in China becoming a major power in the Pacific and the Rest of the World. Taiwan is threatened today by those investments. As a six-year Strategic Management Consultant in China, I witnessed the high energy and focused efforts of the Regional Governments to win USA Corporate investments in China. Soon after I co-directed the first Sat COMM Conference in Beijing, the CEOs of major corporations were flying into Beijing to sign joint development projects. From the time of President Nixon, as I sat drinking tea at the same restaurant where he met the leader of China, I reflected that “all these efforts would result in democracy gaining a foothold and China would be part of the West economy and cooperation community. ” Elon Musk, CEO of SpaceX which launches secret satellites for the USAF Space Force and the NRO, said “The economic prosperity that China has achieved is truly amazing, especially in infrastructure! I encourage people to visit and see for themselves.” It is common knowledge that Joe Biden and Hunter Biden were paid by China for future benefits. The Tsai Center had paid fellows who are now in the White House; namely, Jake Sullivan, Jeff Prescott, Mira Rapp-Hooper, Jack Ma, and Joe Tsai “a billionaire tech entrepreneur and Yale graduate,” who donated extensively to China Center at the Yale Law School. Alibaba is a big backer of Megvii, which developed software…is a vital part of the vast, secret system of advanced facial recognition technology to track and control the Uighurs.” Today, there is a real threat to Global Security as energy sources are being cut off to expand Corporate and Media into a false reality that Global Warming will destroy the planet. The people who seem to do that our millionaire DC politicians who are paid by the Government i.e., US taxpayers and Fed printing presses. Modularity is a great idea but nothing new. It has been the concept with software since Java came on the scene. What is a threat is the Global Supply Chain that is now an issue? What percent of Aerospace systems, parts, components, and completed assemblies come from China, Japan, the EU, and the USA? Finally, the US Defense Agency’s Joint Chiefs have decided that (USAF) military bases will be “farmed out” with their air platforms to regional sites. NATO has already become that process. The kill chain (Ground, Air, Sea, and Space beyond GEO to the Moon) will be increased by boost and glide missiles, Kinetic and non-Kinetic spectrums will be used to impede interference and negation, and “swarm UAVs” will be launched that will be difficult to defend against. The CIA has “137 projects in development that leverage AI in some capacity to accomplish tasks such as image recognition or labeling to predict future military events, however, it has failed in predicting the 2022-23 military operations in Ukraine.
AviationWeek & Space Technology; 2023- “(AI) Satavia,” UK Microsoft Start-up. (https://marketplace.aviationweek.com/company/satavia-ltd
Dataiku: “AI in 2023: Top Tips & Trends,” https://experience.dataiku.com/2023-ai-trends/
Defense ONE; “What Defense Firms are using AI in weapons Development and Deployment?
Haefner, Naomi “Artificial intelligence and innovation management: A review, framework, and research agenda-” University of St. Gallen, St. Gallen,
Switzerland, January 2021
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