If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Google Assistant's fingerprints are all over the CES 2018 show floor, but it's especially easy to see on a few new Android Things-powered devices. This LG ThinQ Google Assistant Touch Screen Speaker is one of them, and like Lenovo's Smart Display, it's built on a Qualcomm Home Hub Platform. On the show floor, it smoothly scrolled through demo applications popping up info in ways we're used to seeing on our phones or through Android Auto. So far all the demonstrations only include Google apps like Duo, Maps, Music, Photos and YouTube -- currently MIA on Amazon's Echo Show -- so we'll be watching carefully to see how the device's capabilities expand as developers dig into Android Things, which leans on existing tools to create new apps for these devices. According to Qualcomm, this more powerful version of its platform (SDA624) can drive a Full HD display, capture 4K video and support Tensor Flow for on-device machine learning.
Do we really need an Alexa-powered toilet? Kitchen and bath products-maker Kohler thinks so, as well as a faucet and bathroom mirror and the list of Alexa-activated devices is even longer and weirder than that. Amazon was expected to get its voice-activated digital assistant into all manner of Internet-connected gadgets at CES 2018, the big annual technology trade show that wrapped up in Las Vegas last week. The list of new devices powered by Alexa rose to 4,000, from over 1,000 brands. Not to be outdone, Google made an unusual splash, showing off deals that put its Alexa rival, Google Assistant, in touchscreen displays and voice-activated commands in cars.
Intel recently released its BigDL project for distributed deep learning on Apache Spark. BigDL has native Spark integration, allowing it to leverage Spark during model training, prediction, and tuning. This blog post gives highlights of BigDL and a tutorial showing how to get started with BigDL on Databricks. BigDL is an open source deep learning library from Intel. Modeled after Torch, BigDL provides functionality both for low-level numeric computing and high-level neural networks.
I once posted about making use of narrative objects. In this blog, I will be discussing an algorithm that supports the creation of these objects. I call it my "Infereferencing Algorithm": this term is most easily pronounced with a slight pause between "infer" and "referencing." I consider this a useful and widely applicable algorithm although I don't believe it operates well in a relational database environment. Instead, I use "mass data files": these contain unstructured lumps of symbols or tags.
We just open-sourced a project to create labeled datasets for ML on satellite imagery. There are only a handful of high quality satellite datasets out there, so our team built something to quickly/easily generate new ones. It pulls label information from OpenStreetMap and saves both the imagery and labels into numpy arrays for incorporation into ML workflows. You can filter by common tags in OSM like roads, buildings, railroads, etc., and it's able to package data for classification, object detection, or segmentation. Heads up that you need define some source for the satellite imagery (and most high-quality ones aren't free), but you can use free imagery tiles from OpenAerialMap or some available from England here or here.
A sad cycle has overtaken the gadget business. It starts this week at CES, tech's biggest annual convention, where inventors compete to connect the most random things to the Internet. This year's "smart" stuff includes pillows, air fresheners and even toilets. A few months from now we'll see different headlines: That smart thing you bought is actually spying on you. Sooner or later, the story gets worse: Your smart thing has been hacked.
Facebook is building a device that will be capable of watching and listening to users at home, according to a new report. The gadget, called Portal, will feature a wide-angle camera that can recognise individual faces. Through this, it will be able to associate different people with their Facebook accounts, and log them in without forcing them to enter their login details. It will also be equipped with a 15-inch touchscreen and a range of microphones, so it can listen to what you say and respond to your commands. The device is currently under development, and looks set to launch at its next developer conference in May, reports Cheddar.
This spring, the MIT School of Science welcomes three new professors in the departments of Brain and Cognitive Sciences, and Earth, Atmospheric and Planetary Sciences. Michael Halassa aims to understand the neural basis of cognitive control and flexibility, particularly as it relates to attention and decision making. To study these questions, he has developed behavioral models of cognitive function in mice, allowing him to probe the underlying neural circuits and computations using parametric behavior, electrophysiological recordings, and causal manipulations. His major current focus is understanding the function of the thalamus, traditionally considered a relay station for sending sensory information to the cortex. Halassa is also a board-certified psychiatrist with fellowship training in psychotic disorders.
While you've been sleeping, artificial intelligence has been evolving. It isn't something to be afraid of -- yet. In actuality, AI has been present in numerous industries for a long time. As development improves and transforms, both with AI-based analytics, also referred to asdeep learning, and user feedback, AI is evolving from being the villain in a bad action movie to helping people live a better life through sleep and Health and wellness tracking. As AI innovation improves, so do the apps being implemented in daily life.