We hear much about artificial intelligence these days and the threats it might hold for our future. However, like the most pernicious threats facing the world; global warming, resource depletion, the destruction of natural habitats it's all a few decades off so why, some short-sighted observers might say, …

LG Electronics is betting on artificial intelligence as the key feature of its upgraded premium V30 smartphone to be unveiled at the Mobile World Congress, the world's largest mobile exhibition, in Barcelona at the end of this month.

Now it plans to add the hardware that will let them run artificial–intelligence algorithms, too. ARM announced today that it has created its first dedicated machine-learning chips, which are meant for use in mobile and smart-home devices. The company says it's sharing the plans with its hardware partners, …

Let me preface this by saying it has been my experience, that barring the obvious bad apples, most people are basically good and want to do the right thing.

Artificial intelligence could be "billions of times smarter" than humans and people may need to merge with computers to survive, a futurist told CNBC on Tuesday. Ian Pearson, a futurist at Futurizon, said there will need to be a link between AI and a human brain.

Apple's technically impressive HomePod has literally been hacked into pieces, we get a taste of Qualcomm's potent smartphone chip (coming soon) and strap an editor into an Iron Man toy mask in the interests of Journalism with a capital'J'. You may not like the thought of paying Apple a pretty penny to fix the HomePod, but you might have to -- it definitely isn't meant for DIY repairs. An iFixit teardown has revealed a clever design that makes good use of a tiny space, but also nigh-on inaccessible. It appears you can pull the fabric mesh off with a drawstring, but almost everything else requires tearing things apart. Many elements are glued on (including the top and bottom), and there's one seam so thoroughly sealed that iFixit needed a hacksaw and ultrasonic cutter to get in.

Can I ask you a dumb question? I was thinking about dimensionality reduction the other day and an idea occurred to me: why not just use an autoencoder NN squeezing input data into d dimensions (d 2, 3, ...) and an appropriate loss function to mimic either PCA or t-SNE, or maybe even UMAP would work? This produces a scalable, incremental (approximate) algorithm that easily supports parallelisation. Besides being slower than a pure C/C implementation, do you see something wrong with it?

Meaningful artificial intelligence (AI) deployments are just beginning to take place, according to Gartner, Inc. Gartner's 2018 CIO Agenda Survey shows that four percent of CIOs have implemented AI, while a further 46 percent have developed plans to do so.

What if we could form meaningful relationships with AI? IBM designer Adam Cutler argues that we're already doing this -- we name our cars and mourn our iPhones when they break -- but imagine if we could develop a deeper emotional bond with our machines. By interpreting intent through language and pairing it with tone and semantic analysis in real time, Cutler shares a vision of the future where AI can predict what you want based only on the smallest, most human of hints....