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.
Autodesk Inc. is an American multinational software corporation that makes software across a myriad of industries including, but not limited to: architecture, engineering, construction, manufacturing, media, and even entertainment. In short, Autodesk makes software for people who wish to create or build things. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you've already experienced what millions of Autodesk customers are doing with their software. Gregg Spratto, Vice President Operations at Autodesk – whose 20-year career has been defined by continual placement into organisations or situations that require immediate efficiency, cost, or process improvement – took the time to talk to us about how they use AI in their business strategy and how the use of this new technology benefits their customers. Spratto explained that Autodesk has been involved in AI for a few years and that their focus area has been on generative design, a method in which designers or engineers input design goals into generative design software, along with parameters such as materials, manufacturing methods, and cost constraints.
In the not-so-distant future, artificial intelligence and robots will take care of routine tasks. Factories will be full of robots, cars will drive autonomously and software will take care of many office tasks. Most observers expect humans to be replaced by robots and imagine a future with billions of unemployed people. These pessimists even propose new welfare systems to take care of these unfortunate humans. In reality, there is absolutely no proof with regard to the negative impact of technology on human employment.
The AI-related stories landing in your Facebook and Twitter feeds are mostly about doomsday Artificial General Intelligence scenarios. While interesting, they distract from the more pressing issue at hand. AI-driven automation will create new jobs and help people to be more productive, but the painful truth is that AI-driven automation of both specific work activities and entire jobs will be incredibly disruptive to hundreds of millions of people around the globe. The McKinsey Global institute and The Obama Whitehouse, respectively, believe that "60% of all occupations have at least 30% of activities that are technically automate-able," and "47% of U.S. jobs are at risk of being replaced by AI technologies" over the next 10–20 years. When a company stands to gain enormous financial benefits from automating a certain work task, and said task is automate-able with current artificial intelligence techniques, you can expect for it to be automated quickly.
Robots, cloud software and artificial intelligence are all things that accountants fear will make them irrelevant. But the truth is that the real future of accounting and technology isn't a technological advancement, it's a trend toward a different model altogether. Technology is evolving rapidly; according to Accenture, 80% of accounting and finance tasks will be delivered with automation in the next few years. This leaves many professionals wondering what the future of their jobs will look like, and where they fit into that future. There's no reason to be afraid.
In a rapidly changing world filled with too much information, Tom Lounibos, CEO of Soasta Inc., has a simple, down-to-earth, one-word solution for his customers looking to make a digital transformation: practice. A one-time college baseball star drafted by the major leagues, Lounibos admitted he often turns to sports metaphors when talking about business solutions. "If you're making the move to playing pro ball, it's the same game, but everything is just so much faster," he explained. "So how do you get there? You watch the films, you hit the batting cage ... in other words, you practice."
Global chip maker Intel on Tuesday announced a string of initiatives to boost the usage of Artificial Intelligence (AI) in diverse sectors by collaborating with partners and customers across the country. "Our developer education programme will educate 15,000 scientists, developers, analysts and engineers on AI technologies, including Deep Learning and Machine Learning in India," said Intel South Asia Managing Director Praksh Mallya here. AI is a software programme that makes computers and machines think intelligently and faster with more predictability than a human mind. AI is also the main workload in data centres which operate in line with the Moore's Law of computing power doubling every year. By 2020, the industry expects more servers to process data analytics than other workloads and analytics predictors will be built into every application.
Detroit - At WCX 17: SAE World Congress Experience, SAE International and General Motors announced the eight North American universities who will compete in the upcoming AutoDrive Challenge . This new autonomous vehicle design competition is a three-year challenge to develop and demonstrate a fully autonomous passenger vehicle. The competition's technical goal is navigating an urban driving course in an automated driving mode as described by SAE Standard (J3016) level 4 definition by Year 3. 'SAE International is excited to expand our partnership with GM to build the future STEM workforce through the AutoDrive Challenge,' said Chris Ciuca, director of Pre-Professional Programs at SAE International. 'Building on our success through programs like Formula SAE, the AutoDrive Challenge launches a new platform to engage industry and academia in working towards a common goal of preparing the brightest young minds for the future of autonomous technologies.' Throughout the three-year competition, students will focus on autonomous technologies and allow for modification and testing.