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) …
Marianne and Marcus Wallenberg Foundation has granted SEK 96 million to be shared by 16 research projects studying the impact of artificial intelligence and autonomous systems on our society and our behaviour. The 16 projects seek to answer a number of questions relating to ethics, society and behaviour in the technology shift that society is facing. Examples of these questions include: How does the labour market change when robots take over certain jobs? What does the growing use of facial and voice recognition technology entail? How is human behaviour affected by the increasing use of drones?
Alex Lightman is the first columnist for ICO Crowd magazine, with 35 articles, an Amazon.com He has authored 14 crypto white papers. He has served as an advisor to 20 Blockchain companies and speaks around the world on "solving big problems with Blockchain, AI and IoT", "CryptoHistory 2009-2050", and "Visionary Blockchain Projects". Lightman was the founder and CEO of Token Communities, and became CTO after the acquisition and name change to Sakthi Global. He leads Kingsland's Executive Education program and the 16 hour two day Blockchain program he authored and teaches has received 100% 5 out of 5 star ratings from participants.
This article was submitted in response to the call for ideas issued by the co-chairs of the National Security Commission on Artificial Intelligence, Eric Schmidt and Robert Work. It addresses the first question (part b.) which asks what might happen if the United States fails to develop robust AI capabilities that address national security issues. The year is 2040 and the United States military has limited artificial intelligence (AI) capability. Enthusiasm about AI's potential in the 2010s and 2020s translated into little lasting change. Domestic troubles forced a national focus on budget cuts, international isolation, and strengthening the union. Civil unrest during the 2032 elections worsened everything -- factionalism and partisanship smashed through the walls of the Pentagon. Major initiatives floundered over costs and fear of aiding political opponents.
Artificial intelligence promises to enable machines or bots to take on the heavy-duty work of many parts of enterprises. Now, there are increasingly more initiatives, as well as vendor products, that will autonomously take on the heavy-duty work of information technology departments as well. The automation of IT functions has been evolving for decades, of course -- from job-scheduling systems in the 1990s to self-healing systems introduced more than a decade ago. These days, IT automation goes by many names -- such as autonomous systems, self-driving systems or bots. Lately, more of it is falling under the moniker of AIOps, joining the parade of xOps methodologies, promising to apply AI and machine learning to mechanize, standardize and automate the delivery of IT services.
Artificial intelligence (AI), machine learning (ML), autonomous systems, robotic process automation, chat bots, augmented and mixed reality and many other buzzwords are flying around water coolers and leadership team meetings across enterprises. It signifies the interest and the potential benefits to the organizations or institutions (in the case of higher education) and how these technologies can be adopted successfully to gain an advantage in the already very competitive higher education business. Part of AI is what is called unconscious AI. What does this really mean, and what are the different perspectives of unconscious AI? To explore unconscious AI, we first must understand what AI is and what different approaches are taken by technology providers and consumers to make AI effective and useful in daily life.
In recent years, defense officials have been banging the drum about the importance of adopting artificial intelligence to assist with everything from operating autonomous platforms to intelligence analysis to logistics and back office functions. But the Pentagon is not pumping enough money into this technology, according to one expert. "The critical question is whether the United States will be at the forefront of these developments or lag behind, reacting to advances in this space by competitors such as China," Susanna Blume, director of the defense program at the Center for a New American Security, said in a recent report titled, "Strategy to Ask: Analysis of the 2020 Defense Budget Request." The request includes just $927 million for the Pentagon's AI efforts, about 0.13 percent of the department's proposed $718 billion topline, she noted. "Given the enormous implications of artificial intelligence for the future of warfare, it should be a far higher priority for DoD in the technology development space, and certainly a higher priority than the current No. 1 -- development of hypersonic weapons," she said.
From driver-assisted vehicles on our city streets to self-driving vehicles on our factory floors, robotic and autonomous systems are becoming commonplace. You may even have one in your home, vacuuming the floors for you while you stay busy with more meaningful work. The truth is, these hands-off systems are just about everywhere anymore. In a sign of the growing adoption of robotic systems, the market-advisory firm ABI Research predicts that, by 2025, more than 4 million commercial robots will be on the job in over 50,000 warehouses, up from just under 4,000 robotic warehouses in 2018.1 And that's just warehouses -- that's not the "everywhere else" where these worker bees are found.
Optimus Ride has already deployed its autonomous transportation systems in the Seaport area of Boston, in a mixed-use development in South Weymouth, Massachusetts, and in the Brooklyn Navy Yard, a 300-acre industrial park. Some of the biggest companies in the world are spending billions in the race to develop self-driving vehicles that can go anywhere. Meanwhile, Optimus Ride, a startup out of MIT, is already helping people get around by taking a different approach. The company's autonomous vehicles only drive in areas it comprehensively maps, or geofences. Self-driving vehicles can safely move through these areas at about 25 miles per hour with today's technology.
What good is technology if it doesn't take care of well being of humans. In the field of technology & research, bodies like IEEE and some NPOs have ensured, from time to time, that an "ethics" framework is in place before there is mass adoption of any technology. Neural networks, machine learning, computer vision & natural language processing based products existed even before the times of commoditizing of Artificial Intelligence (AI). However, the breathtaking landscape of AI is solving multiple problems, yet the corporate world has pushed the envelop too far. The idea of putting this article out is to make leaders and industry veterans enforce and ensure that their teams are abiding by the ethics framework for building Artificial Intelligence based products/solutions.
You can use algorithms and apps to systematically analyze, design, and visualize the behavior of complex systems in time and frequency domains. Automatically tune compensator parameters using interactive techniques such as bode loop shaping and the root locus method. You can tune gain-scheduled controllers and specify multiple tuning objectives, such as reference tracking, disturbance rejection, and stability margins. Code generation and requirements traceability helps you validate your system and certify compliance.