Creators and bot enthusiasts can explore the potential of a new open-source project from IBM called TJ Bot. TJ Bot is a DIY kit that allows programmers to create a cardboard robot powered by Watson. TJ Bot consists of a Raspberry Pi, a variety of add-ons, and a cardboard cutout, which can be 3D-printed or … continue reading
In order to help developers tap into the true potential of artificial intelligence and cognitive computing capabilities, Topcoder (a global software development community) and IBM are partnering to allow a larger number of developers to have access to Watson services and speech APIs. Specifically, this partnership allows IBM to expand the number of developers working … continue reading
When it comes to artificial intelligence, Facebook is looking to tackle all areas of the technology. The company is already conducting research in computer vision, language understanding, machine learning, connectivity, and virtual reality, as well as on other frontiers. To showcase its dedication, the company is giving more insight into its research and breakthroughs, and … continue reading
DeepMind and Blizzard Entertainment are collaborating to open up StarCraft II to artificial intelligence and machine learning researchers globally. According to a DeepMind blog post by research scientist Oriol Vinyais, StarCraft II continues the series’ renowned eSports tradition, as the original StarCraft was played in the late 1990s yet remains popular today. StarCraft is a … continue reading
Companies are continuing to embrace the Internet of Things and its solutions, which is why Canonical today released Ubuntu Core 16 for IoT devices with security updates, along with an app store for intelligent devices. Ubuntu Core delivers security, management, operations and upgradability in its developer-friendly platform, according to a company release. With its snap … continue reading
Machine learning is a hot topic in the software industry right now. More and more companies are taking advantage of this artificial intelligence technique to train machines on their data and make predictions. Researchers from MIT’s Computer Science and Artificial Laboratory (CSAIL) want to take it a step further by revealing how a machine makes … continue reading
Apple’s launch event introduced the company’s new MacBook Pro, which comes with a new Touch Bar (a multi-touch glass strip built into the keyboard for instant access of tools). For the first time, Touch ID is available on the Mac. The new model includes high-performance processors, better storage, and better graphics. Speakers have been redesigned … continue reading
Think back just a few years: Social, mobile, cloud and Big Data ruled the emerging technology landscape. Business and technology-management executives wondered what Big Data meant, when the cloud would disrupt their companies, and how to engage effectively on social channels. In 2016, Hadoop turned 10, the cloud has been around even longer, and social … continue reading
Developers and researchers can start using the power of deep learning with the updated beta release of the open-source Microsoft Cognitive Toolkit. The toolkit, previously known as CNTK, and was developed by computer scientists at Microsoft. They wanted developers to be able to train and evaluate deep learning algorithms fast, scaling efficiently in a range … continue reading
IBM today unveiled updates to its Watson platform. The company kicked off its World of Watson conference with some product announcements for the platform that will be further detailed in two weeks at the Watson Developer Conference in San Francisco. The platform was expanded today to include more tools for developers and integrations with other … continue reading
You wake up in the morning and check your watch for messages. You go into the kitchen for coffee, and as you reach for milk, you check the display on your refrigerator to find out what you might need. You get into your car and see traffic conditions as your navigation system recalculates the best … continue reading
Big Data is becoming too big to manage manually. The amount of data coming from sensors, streams and social media is astronomical—but that’s only part of the problem. Out of all the data that is being collected, only a small amount of it is actually essential, making it an impossible task to find the needle … continue reading
