Microsoft advances several of its hosted artificial intelligence algorithms


Microsoft Cognitive Services is home to the company's hosted artificial intelligence algorithms. Today, the company announced advances to several Cognitive Services tools including Microsoft Custom Vision Service, the Face API and Bing Entity Search . Joseph Sirosh, who leads the Microsoft's cloud AI efforts, defined Microsoft Cognitive Services in a company blog post announcing the enhancements, as "a collection of cloud-hosted APIs that let developers easily add AI capabilities for vision, speech, language, knowledge and search into applications, across devices and platforms such as iOS, Android and Windows." These are distinct from other Azure AI services, which are designed for developers who are more hands-on, DIY types. The idea is to put these kinds of advanced artificial intelligence tools within reach of data scientists, developers and any other interested parties without any of the normal heavy lifting required to build models and get results with the myriad of testing phases that are typically involved in these types of exercises.

Eye Tracking Is Coming to Virtual Reality Sooner Than You Think. What Now?


Joakim Karlén handed me the headset, such as it was. It was a reference design only; the hard plastic box lacked a headstrap, and had a utilitarian form factor only a dystopian sci-fi fan would love. However, it was also completely self-contained--no cables trailing away from it to a nearby PC, no cellphone to power it. This was Qualcomm's latest "standalone" headset reference, a prototype and platform architecture that the company would provide to developers in order to create all-in-one devices. When I held the headset up to my eyes (no headstrap, remember?)

4 predictions for conversational AI in 2018


As marketers look into 2018, they see that the conversational AI landscape is primed for increased consumer adoption. In fact, in a recent survey, nine out of 10 people said they prefer messaging directly with a brand. This year, Apple, Facebook, Google, and Amazon all leaned into messaging and conversation. In 2018, the big four will make conversational AI the main gateway to communicate with the customer. Words like "chatbot," "AI," and "machine learning" are certainly trending at the moment.

Don't believe the hype: 74% of developers aren't using AI tools


Artificial intelligence (AI) promises to change nearly every enterprise workflow, but it isn't changing software and web development just yet. What other developers (and businesses for that matter) should take from this information is that it is OK if you haven't jumped on the AI hype train just yet. However, they should also take note that, despite low adoption rates, there is strong interest in the space, and it could be poised to grow rapidly. While many developers aren't using AI and machine learning tools, 81% said they are interested in learning more about them. Of those developers, 46% said they were specifically interested in automated machine learning, 22% in sentiment analysis and natural language processing, and 21% in hybrid and deep learning models.

Uber's Fatal Crash and the Ethics of Testing Self-Driving Cars


Here's the strange thing about where I live: When I walk outside my office, down to busy, honk-filled four-lane road that runs by it, I'm immediately part of a wide scale science experiment. A lot of us are, here in San Francisco, in metro Phoenix, Arizona, in Pittsburgh, Pennsylvania. We didn't sign any forms or cast any votes, but here we are, in a living lab for self-driving tech. One day, maybe crossing the street on foot at night won't feeling like taking your life into your hands. This really could be the way to stop the deaths of 40,000 people on US roads every year.

Google Working on Proprietary Blockchain - Cryptics


Google is developing its own solution based on distributed registry technology, which can be used in the cloud services of the company and will help it stand out against competitors. As early as 2016, Google launched a trial program for developers to use blockchain in their cloud. According to one source Bloomberg, throughout the last few months, members of a special group under the control of the head of the department of cloud services Diane Green actively worked on improved blockchain protocols. Officially, Google does not comment on the situation. The company is also engaged in buying and investing in startups associated with digital registries, and many of these transactions were not announced, the source added.

Fabric for Deep Learning


According to Gartner, artificial intelligence will be the most disruptive class of technology over the next 10 years due to radical computational power, near-endless amounts of data, and unprecedented advances in deep learning. The rise of deep learning has been fueled by three recent trends: the explosion in the amount of training data; the use of accelerators such as graphics processing units (GPUs); and the advancement in training algorithms and neural network architectures. To realize the full potential of this rising trend, we want the technology to be easily accessible to the people it matters most to: data scientists and AI developers. Training deep neural networks, known as deep learning, is currently highly complex and computationally intensive. It requires a highly tuned system with the right combination of software, drivers, compute, memory, network, and storage resources.

Crypto Angel - Official technical presentation video (2018)


CryptoAngel is a virtual life assistant based on a powerful AI models, that works on an individual input, and outputs the best model that suits particular user needs. Imagine Cortana, Alexa and Siri but way more scalable, intelligent and powerful. The ecosystem is blockchain based, where the developers can upload their models for training and processing in decentralized manner. The goal is to have one central intelligent model called Master-Mind whose possibilities will be limitless. CryptoAngel will have mobile app where you can set your personal goal and the Master-Mind will recommend you the best options for reaching your goal.

Machine Learning Could Help Make Notifications Smarter


Right now our smartphone notifications are pretty "dumb" in the sense that as soon as something pops up, we are notified straight away, whether it be an email, message, a tag/mention on Facebook, a sales event, and so on. The onus is mostly on the user to manage their notifications and to choose what they want or don't want to see. However what if our phones could become smart enough to know what we usually respond to? That's something that two developers over in Taiwan are trying to do, where through the use of machine learning, our phones could start to learn our habits to determine what notifications it should display and which shouldn't. The developers, TonTon Hsien-de Huang and Hung-Yu Kao have dubbed this'Clicksequence-aware deeP neural network (DNN)-based Pop-uPs recOmmendation' or C-3PO, which like we said is an algorithm that learns what users respond to and which they don't.

Can government regulation fix Facebook's 'data vampire' problem?

Daily Mail

After revelations that political consulting firm Cambridge Analytica allegedly appropriated Facebook user data to advise Donald Trump's 2016 U.S. presidential campaign, many are calling for greater regulation of social media networks, saying a'massive data breach' has occurred. The idea that governments can regulate their way into protecting citizen privacy is appealing, but I believe it misses the mark. What happened with Cambridge Analytica wasn't a breach or a leak. It was a wild violation of academic research ethics. The CEO finally broke his silence on the misuse of 51 million users' data Wednesday evening, outlining three steps the firm plans to take to prevent something like this from happening again.