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) …
Berkeley-based Lygos is engineering and designing microbes that convert low-cost sugar into high-value, specialty chemicals. In other words, the latest advances in software, big data, machine learning, biotech, and chemistry may be combining to quite possibly start a new industrial revolution. Lygos develops microbes to convert sugar into high-value specialty chemicals, focusing its flagship product on malonic acid (derived from petroleum), which is used in a diverse set of industries, including flavor and fragrance, electronic manufacturing, and coatings. And, though they will borrow tech from the titans of Silicon Valley (e.g., TensorFlow from Google), and cloud vendors like AWS will lower the bar for developers dipping their toes into machine learning, the biggest impact of big data will not go toward ad-clicking strategies.
Nvidia has benefitted from a rapid explosion of investment in machine learning from tech companies. Can this rapid growth in the use cases for machine learning continue? Recent research results from applying machine learning to diagnosis are impressive (see "An AI Ophthalmologist Shows How Machine Learning May Transform Medicine"). Your chips are already driving some cars: all Tesla vehicles now use Nvidia's Drive PX 2 computer to power the Autopilot feature that automates highway driving.
While the fears that artificial intelligence will replace many human jobs is not unfounded, some industries have discovered that the software has enabled their current employees to be more productive and successful since they no longer have to focus on mundane tasks. The use of artificial intelligence has been present for many years in online chat boxes that answer customer service questions and self-driving cars as the technology mimics and learns human behavior. The fear that artificial intelligence will replace a large percentage of jobs is rational, but at the same time, there is a growing acceptance that it has "done a lot of good," said Alex Terry, CEO of Conversica, a Foster City, Calif.-based artificial intelligence-based software company that engages potential customers in natural, two-way human conversations and is used by sales representatives. While artificial intelligence could replace customer service jobs in some industries; in others it would allow account executives to spend more time on customers' problems instead of on routine and often boring activities, said Terry.
Silicon Valley has become obsessed with "disrupting" food. Alarming headlines grab the public's attention -- stories about meat grown in labs, flavorless "Soylent" meal replacements and "chickenless eggs." The tech industry is "disrupting" food by replacing the real with the fake. But other parts of the industry are doing the opposite: replacing the fake with the real. The newest Silicon Valley food revolution isn't about bio-engineering strange new food replacements, but using algorithms and artificial intelligence (A.I.) to transform how real food is marketed and distributed.
It's been a year that should dispel doubts the car industry is going through a technological revolution. The convergence of traditional motor manufacturing and new digital technologies has been shifting slowly through the gears for a couple of years. But in 2016, things hit top speed. A string of deals, strategic announcements and investments has even left some experts wondering if a bubble is growing. "Manufacturers finally really understood the need for change," says Martin Benecke, Frankfurt-based analyst at IHS Automotive.
With the advent of heterogeneous computing systems that combine both main CPUs and connected processors that can ingest and process tremendous amounts of data and run complex algorithms, artificial intelligence (AI) technologies are beginning to take hold in a variety of industries. Massive datasets can now be used to drive innovation in industries such as autonomous driving systems, controlling power grids and combining data to arrive at a profitable decision, for example. This paper describes how AI can now be used in various industries using the latest hardware and software. When the cost and complexity of a set of new technologies decreases, more opportunities arise for this new technology to be accepted and brought into mainstream business processes. More easily accessed applications combined with the increase in performance per dollar has opened up new opportunities for using AI.
"The business plans of the next 10,000 startups are easy to forecast: Take X and add AI." -- Kevin Kelly Here are the breakthrough AI papers and CODE for any industry. "A hundred years ago electricity transformed countless industries; 20 years ago the internet did, too. Artificial intelligence is about to do the same. To take advantage, companies need to understand what AI can do." If you are a newcomer to the AI, the first question you may have is "What AI can do now and how it relates to my strategies?"
"Artificial intelligence" is a term often reserved for the likes of Skynet in the "Terminator" films or ENCOM's mainframe in the "Tron" movie, but the reality is that AI has been around for decades-- and experts say the rumors of a forceful robotic takeover are exaggerated. Instead, they see AI as an indispensable tool for supporting humans in virtually every aspect of life, especially in commercial applications. To find out more about how AI is rolling out in business and how it might develop in the future, Business News Daily spoke to industry insiders about the evolution of artificial intelligence. Rather than serving as a replacement for human knowledge and ingenuity, AI is generally seen as a support tool for the humans using the technology. Although AI currently has a difficult time completing common-sense tasks in the real world, it is adept at processing and analyzing troves of data far more quickly than a human brain could.
Artificial intelligence (or AI) has permeated most facets of our lives. Algorithms suggest our social media mates. But could the arrival of the robots be applied to education? Jozef Misik, managing director of Knowble, a language tech start-up whose products are built on AI, believes so: "Most educational technology products will have an AI or deep learning component in future," he says. Already, AI is able to address common learning challenges.
Montreal is one of the pioneers in Deep Learning thanks to the work of computer and cognitive scientists like Yoshua Bengio from Montreal Institute for Learning Algorithms, which is hosted at Université de Montréal. They're spearheading research on neural networks, amongst other things, which is highly effective in recognizing complex patterns like vision and speech. Founded by Jean-François Gagné and Yoshua Bengio, Element AI is an amazing A.I. incubation initiative that brings research and business together to create the most cutting edge services to disrupt industries. They are shortening the time it takes for new technologies and research to be integrated with great products and companies. This lab is pioneering in some amazing research on deep learning and the next generation of A.I. technology.