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Toyota unveils concept car with AI and autonomous driving tech
NEVADA – Toyota Motor Corp. has unveiled a concept car with built-in artificial intelligence and autonomous driving technology designed to interact with the driver. The Wednesday unveiling of the Concept-i, which the automaker says can read its driver's personality and emotions, came ahead of the opening Thursday of the Consumer Electronics Show, an annual global trade show held in Las Vegas. By learning about the driver through "chats" using its AI system and monitoring facial expressions, the car will engage in conversations on topics that suit the driver's taste and propose driving routes that include their favorite areas, the carmaker said. The car will also flash lights if it detects a certain level of driver fatigue, play relaxing music to reduce tension and shift to autonomous driving if the driver is at risk. Toyota is aiming to build an experimental vehicle that features some aspects of the Concept-i within the next several years and test its performance in Japan.
This New Computer Wants to Be the Ultimate AI Assistant for the Home
Amazon's Alexa and Google's virtual assistant have already made their way into our living rooms, but Chinese tech giant Baidu is betting that verbal answers may not always be enough. The company is launching a new home-centric computer that includes a screen for displaying helpful information in response to voice commands. Baidu is teaming up with Chinese consumer tech company Ainemo to launch the device, called Little Fish, which is being positioned as a voice-centric home robot. Ainemo created the hardware, while Baidu created the operating system that powers it. The computer, about the size of a lamp, is designed to handle many of the same tasks one might expect from such a device: managing calendars, answering questions, getting news updates, and ordering food, among other tasks.
Three Data Trends that will define 2017
Wearables are ubiquitous; everyone worth their salt is jumping on the Internet of Things (IoT) bandwagon; and Augmented Reality (AR) is here to stay. These are the current favorite trends in the industry; and based on what we've seen in the recent years, we think it'll be mostly how businesses apply these trends that will drive the growth of these technologies, not the end users. And here is why - the data generated by these three technologies is incredibly voluminous, we all know that. It might not be of much use to an individual user, but in large volumes can be incredibly useful to businesses. If we can handle its relentless onslaught, this data can especially provide us deep real-time analytical insights that can help brands understand their consumers far better and make data-driven decisions. Data-converging platforms that will converge the influx of all connected data will rise in 2017, fuelled by the demand to tame this massive data.
Free Machine Learning eBooks PACKT Books
So, you want to learn how to build machine learning algorithms? But where do you start? Becoming a data scientist is a really smart career move – it's possibly one of the most valuable jobs out there. That's just one of the reasons it was hailed by the Harvard Business Review as the'sexiest job of the twentieth century' back in 2012. But learning the skills you need to become a truly great data scientist, capable of building powerful machine learning systems with languages like Python and R, isn't easy.
Artificial intelligence: The 3 big trends to watch in 2017 - TechRepublic
In 2016, the White House recognized the importance of AI at its Frontiers Conference. The concept of driverless cars became a reality, with Uber's self-driving fleet in Pittsburgh and Tesla's new models equipped with the hardware for full autonomy. Google's DeepMind platform, AlphaGo, beat the world champion of the game--10 years ahead of predictions. "Increasing use of machine learning and knowledge-based modeling methods" are major trends to watch in 2017, said Marie desJardins, associate dean and professor of computer science at the University of Maryland, Baltimore County. How will this play out?
How Artificial Intelligence Will Transform The Delivery Of Legal Services
Michio Kaku, a noted theoretical physicist and futurist, predicts, "The job market of the future will consist of those jobs that robots cannot perform." Robots have recently entered the legal workplace, performing several tasks once assigned to newly minted law grads. What does this mean for current and future lawyers? Simple answer: robots will not replace lawyers but they will work with them. Technology has already produced a new class of support professionals that work with lawyers -- just as techs work with doctors in healthcare delivery.
Intel At CES 2017: 'It's On' In Automotive And 5G And We Still Love PCs
Intel has been on a multi-year journey to diversify themselves from a PC and server play to an IoT leader spanning the endpoint to the datacenter and everything in-between. So far, the company has seen its biggest differential success in the data center maintaining their giant compute share and growing in networking and storage and just laid out their AI strategy. They've done well in industrial strength IoT gateways and end points like security cameras where performance matters but of course, intend to go further. Intel has one big tier 1 4G LTE design win in the Apple iPhone 7 and needs to prove it's more than a one hit wonder. In 5G, Intel is way ahead of where they were with 4G at this point in the standard development process, too.
Create Custom R Models in Azure Machine Learning Data Science Dojo
Here is where we take advantage of AzureMl's newest feature: the Create R Model module. Now we can use R's randomForest library and take advantage of its large number of adjustable parameters directly inside AzureML studio. Then, the model can be deployed in a web service. Previously, R models were nearly impossible to deploy to the web. For a detailed explanation of setting up data partitions and model training checkout our other tutorial here.
Google reveals secret test of AI bot to beat top Go players
Computer mastery of the complex board game Go has long been seen as a landmark for artificial intelligence. A mystery player causing a stir in the world of the complex strategy game Go has been revealed as an updated version of AlphaGo, the artificial-intelligence program created by Google's London-based AI firm, DeepMind. Known only by the name "Master (P)", since late December the anonymous player has beaten the world's best at Go in a string of online games, including defeating current world number one, 19-year old Ke Jie. South Korea trumpets $860-million AI fund after AlphaGo'shock' Go is regarded as the most complex board game ever invented, and famously difficult for computers to crack. But last year, AlphaGo showcased the strength of AI software when it stunned the Go world first by defeating a professional human player, Fan Hui, and then going on to beat one of the Go world's top players, Lee Sedol.
Toyota's cute Concept-i wants to be your friend
Toyota Motor Corp. wants you and your car to be friends. On Wednesday at CES, the industry trade show formerly known as the Consumer Electronics Show, the automaker unveiled its "Concept-i" vehicle, a futuristic-looking car with an artificially intelligent assistant built in. "We need to look beyond the simple driver-vehicle interface and focus on the driver-vehicle relationship," said Bob Carter, senior vice president of automotive operations at Toyota. Embedded in Concept-i is "Yui," Toyota's artificial intelligence system. Yui is intended to monitor driver behavior and mood to determine the vehicle's actions.