Audi A4 surprises with an unusual blend of technology and aesthetics. Even more powerful, more efficient, more intelligent.. Drive the car of the future. Audi A4, thanks to the brand new artificial intelligence systems, is always ready to surprise you and to give you the maximum safety and comfort on board.
As with every age of automation, an adjustment period is underway with the advent of Artificial Intelligence into the workplace. The global workforce is expected to experience significant turn between job families and functions with a net employment impact predicted of more than 5.1 million jobs lost to AI over the period of 2015-2020. While the true impact of the job loss is expected to be around 7.1 million jobs.
The U.S. Transhumanist Party’s first expert discussion panel, hosted in conjunction with the Nevada Transhumanist Party, asks panelists to consider emerging developments in artificial intelligence. Key questions addressed include the following: 1. What do you think will be realistic, practical applications of artificial intelligence toward improving human lives during the next 5 years? 2. Are you genuinely concerned about existential risk stemming from AI, or do you think those concerns
Artificial intelligence is one of the main themes of CES this year. LG unveiled its voice-activated home assistants like Amazon Echo and Google Home on Wednesday. LG already produces a mass of connected devices, from refrigerators to washing machines, but now it’s created the Hub Robot powered by Amazon Alexa to control all of them for you, making your life even easier. LG’s bot can dance along with music and
If you say yes, you should know that you will be one of almost 65,000 customers who made reservations shortly after unveiling its first car, the FF91, this week at CES in Las Vages. Faraday Future at CES 2017 unveiled its FF91, an electric vehicle that’s designed with artificial intelligence, design and connectivity. Artificial Intelligence (AI) plays an integral role in the progression of self-driving vehicles on public roads. Faraday
Nvidia had a huge 2016 with one of best performing stocks of the year. In the past 12 months, the graphics processing chipmaker’s stock value has boomed 230%. This is mostly due to its impressive growth in artificial intelligence applications using its graphics processors in data centers and cars. Meanwhile, Nvidia maintains a fast-growing business in its core gaming market. Partially as a reflection of the growing importance of AI in the tech industry,
Professor Jennifer Neville, Associate Professor and Miller Family Chair of Computer Science and Statistics at Purdue University, talked about the history and future of artificial intelligence and about machine dialog systems called “Chatbots.” Professor Neville focuses her research on machine learning and data mining. Professor Neville’s research focuses on data mining and machine learning techniques for relational data. In relational domains such as social network analysis, citation analysis, epidemiology, fraud
Hosted by Andrew Ross Sorkin and the editors of The New York Times, the DealBook conference (dated on November 10, 2016) brings together visionaries — powerful C.E.O.s, leading figures in finance and experts from diverse industries — to assess the challenges and opportunities that will define the deal world of tomorrow. Participants had the rare opportunity to interact with other industry leaders in a collaborative environment, designed to encourage chance
Technology had important advances and a few setbacks in 2016. Self-driving cars began appearing, while private space exploration firms saw their rockets explode on launch pads. Still, technology keeps promising a better future. VOA’s George Putic reports. Electric cars are no longer a novelty. Manufacturers are racing them towards the future of self-driving technology. In spite of several crashes one of them fatal, automakers and car sharing companies are strongly
Deep Learning Courses were taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford. Slides are available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ Deep Learning Lecture 1: Introduction Deep Learning Lecture 2: linear models Deep Learning Lecture 3: Maximum likelihood and information Deep Learning Lecture 4: Regularization, model complexity and data complexity (part 1) Deep Learning Lecture 5: Regularization, model complexity and data complexity (part 2) Deep