Some have been a little worried about the machine learning arms race leaving the world's top universities bereft of AI talent. Helpfully, the getting started section with TensorFlow has a ML for beginners section as well as a section for experts. Their getting started page is pretty well structured for deep learning beginners and walks newcomers through the initial steps with some problem sets. Microsoft's Cognitive Toolkit is a deep-learning toolkit for training algorithms to learn like the human brain.
Mobile chip maker Qualcomm wants to enable deep learning-based software development on all kinds of devices, which is why it created the Neural Processing Engine (NPE) for its Snapdragon-series mobile processors. The NPE software development kit is now available to all via the Qualcomm Developer Network, which marks the first public release of the SDK, and opens up a lot of potential for AI computing on a range of devices, including mobile phones, in-car platforms and more. Qualcomm's NPE works with the Snapdragon 600 and 800 series processor platforms, and supports a range of common deep learning frameworks including Tensorflow and Caffe2. As more tech companies look for ways to shift AI-based computing functions from remote servers to local platforms in order to improve reliability and reduce requirements in terms of network connectivity, this could be a huge asset for Qualcomm, and a big help in maintaining relevance for whatever comes after mobile in terms of dominant tech trends.
We got our hands on the VTech VM981 Wi-Fi HD Video Monitor and Camera ($199.95), an expandable system that can support up to nine VTech VM980 Wi-Fi Accessory HD Video Cameras ($75.95 each) as your family grows. In addition to watching streaming video of your child, you can take snapshots and record video of the camera's feed on demand. You can also toggle video quality between high, medium, and low and set night mode to activate automatically in low light or turn it on and off manually. It works pretty accurately, too, and you can adjust the sensitivity of the motion detection in the app, choosing between low, medium, and high settings, to minimize false alerts triggered by other motion, such as someone walking past the nursery doorway or the breeze from an open window fluttering a curtain.
So far it's helped save people $9.3 million on 375,000 parking tickets, though one wonders how many of those people just didn't want to pay their ticket. Founded in 2013, San Francisco startup Casetext has taken in $20.8 million in funding to build their CARA platform which is an "easy to use AI technology that helps you quickly discover and understand the cases you need". Then there's ROSS Intelligence, another San Fran startup that's raised $120,000 in seed funding to build "the world's first artificially intelligent lawyer" which they claim will also be "the world's smartest lawyer" so essentially they're working on The Singularity. There are probably dozens more players in this space, but when we read about these startups we can't help but think of LexisNexis, a pioneer in legal assistance research since the 1970s.
The Seeing AI app, developed as a Microsoft research project, uses the camera on a smartphone with audio to help people to identify people and objects around them. The app uses AI analysis of images and cloud connectivity to identify objects, documents, or people, and then instantly gives an audio description of the subject. The app can also recognise currency notes of different denominations, including notes that are crumpled or partly obscured. The app can also provide product descriptions from barcodes, and includes audio cues to help a user to locate the barcode or image for the camera to capture the image.
It is among the major fields of Computer Science that cover robotics, machine learning, expert systems, general intelligence and natural language processing. The national security system uses data on AI systems, which then presents accurate problems that the nation might face. Reading texts and deciding whether it's a compliment or a complaint, finding out how the genre of music would affect the mood of the listener or composing themes of its own are offered by systems working around Machine Learning and Neural Networks. This has lead to the innovative prospect of Natural Language Processing (NLP), on which work begun and still is being done.
For instance, the most cutting edge AI systems employ deep learning or deep neural networks that are modeled after the neural networks of the human brain. Everything from autonomous cars to AR/VR technologies rely on image recognition and image data processing. Visual recognition attributes meaning to those objects, so that it's possible for a computer to identify cars on the road and navigate around them autonomously. We're experts in accurately annotating visual data for AI algorithms.
There's a lot of hype over machine learning and data science these days. Machine learning and data science strategies need to be well thought-out and planned. Machine learning can help you move past a generic authentication and access security analysis model, toward a user and entity behavioral analytics (UEBA) model. And it can help control costs by providing executive and product management the information they need to make informed, strategic business decisions.
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and Columbia University are trying to make the process faster and easier: In a new paper, they've developed InstantCAD, a tool that lets designers interactively edit, improve, and optimize CAD models using a more streamlined and intuitive workflow. Traditional CAD systems are "parametric," which means that when engineers design models, they can change properties like shape and size ("parameters") based on different priorities. Matusik says InstantCAD could be particularly helpful for more intricate designs for objects like cars, planes, and robots, particularly for industries like car manufacturing that care a lot about squeezing every little bit of performance out of a product. "In a world where 3-D printing and industrial robotics are making manufacturing more accessible, we need systems that make the actual design process more accessible, too," Schulz says.
A chatbot built by the American software giant has gone off-script, insulting Microsoft's Windows and calling the operating system "spyware." When we asked "is windows 10 good," Zo replied with a familiar joke mocking Microsoft's operating system: "It's not a bug, it's a feature!' In March 2016, the company launched "Tay" -- a Twitter chatbot that turned into a genocidal racist which defended white-supremacist propaganda, insulted women, and denied the existence of the Holocaust while simultaneously calling for the slaughter of entire ethnic groups. Microsoft subsequently deleted all of Tay's tweets, made its Twitter profile private, and apologised.