With the introduction of the iPhone 7 and iPhone 7 Plus, Apple made one of the boldest moves smartphone design has seen in recent years - the removal of the 3.5mm headphone jack. The reason behind the decision, Apple executive Phil Schiller explained was'the courage to move on and do something new that betters all of us.' As part of the latest launch, Apple is bundling its familiar EarPod headphones with both a Lightning connector to plug into the charging port, along with an adaptor for hooking up older wired headphones with the new handsets. It's also released a pair of wireless headphones, known as AirPods, that cost 159 ( 159). Owners of the iPhone 7 will not be able to directly connect any headphones with a traditional 3.5mm plug.

A broad range of GE appliances now recognize voice commands, thanks to the manufacturer's adoption of Amazon's Alexa Skills development kit. If you own an Echo, Echo Tap, or Echo Dot, you can use your voice to control any Wi-Fi-connected GE or Monogram refrigerator, oven, range, dishwasher, washer, dryer, or water heater. GE has labeled its voice-control program Geneva, so Alexa voice commands must include that name for the service to know where it needs to relay the command. Here's a small sample of what you can accomplish using just your voice once you've enabled the feature: Amazon's Echo is versatile and powerful; it's a terrific value all around. Alexa will either confirm your request, or retrieve and speak the information you've requested.

Artificial Intelligence has always been a hot topic. The problem of creating a machine that can think, make its own decisions and at the same time lacks human limitations, has always aroused controversies. We all remember what the infamous Skynet has done to our planet in Terminator series, right? We can also recall this nasty feeling of a cold shiver running down our spines when Neo has woken up from the Matrix. After watching such films, we can wonder why our scientists want to build intelligent machines in a first place. One would ask: why putting humanity at risk?

Artificial intelligence (AI) has gradually become an integral part of modern life, from Siri and Spotify's personalized features on our phones to automatic fraud alerts from our banks whenever a transaction appears suspicious. Defined simply, a computer with AI is able to respond to its environment by learning on its own--without humans providing specific instructions. A new report from Stanford University in Palo Alto, California, outlines how AI could become more integrated into people's lives by 2030, and recommends how best to regulate it and make sure its benefits are shared equally. Here are five examples--some from this report--of AI technology that could become a part of our lives by 2030. Smart traffic lights using artificial intelligence technology to learn and adapt to traffic patterns in real time could make intersections safer and more efficient.

Inductive Matrix Completion (IMC) is an important class of matrix completion problems that allows direct inclusion of available features to enhance estimation capabilities. These models have found applications in personalized recommendation systems, multilabel learning, dictionary learning, etc. This paper examines a general class of noisy matrix completion tasks where the underlying matrix is following an IMC model i.e., it is formed by a mixing matrix (a priori unknown) sandwiched between two known feature matrices. The mixing matrix here is assumed to be well approximated by the product of two sparse matrices---referred here to as "sparse factor models." We leverage the main theorem of Soni:2016:NMC and extend it to provide theoretical error bounds for the sparsity-regularized maximum likelihood estimators for the class of problems discussed in this paper. The main result is general in the sense that it can be used to derive error bounds for various noise models. In this paper, we instantiate our main result for the case of Gaussian noise and provide corresponding error bounds in terms of squared loss.

WaveNet, as the system is called, generates voices by sampling real human speech and directly modeling audio waveforms based on it, as well as its previously generated audio. In Google's tests, both English and Mandarin Chinese listeners found WaveNet more realistic than other types of text-to-speech programs, although it was less convincing than actual human speech. The alternative is parametric text to speech -- building a completely computer-generated voice, using coded rules based on grammar or mouth sounds. Google's system is still based on real voice input.

Google's DeepMind artificial intelligence has produced what could be some of the most realistic-sounding machine speech yet. WaveNet, as the system is called, generates voices by sampling real human speech and directly modeling audio waveforms based on it, as well as its previously generated audio. In Google's tests, both English and Mandarin Chinese listeners found WaveNet more realistic than other types of text-to-speech programs, although it was less convincing than actual human speech. If that weren't enough, it can also play the piano rather well. Text-to-speech programs are increasingly important for computing, as people begin to rely on bots and AI personal assistants like Apple's Siri, Microsoft's Cortana, Amazon's Alexa, and the Google Assistant.

Artificial intelligence researchers at DeepMind have created some of the most realistic sounding human-like speech, using neural networks. Dubbed WaveNet, the AI promises significant improvements to computer-generated speech, and could eventually be used in digital personal assistants such as Siri, Cortana and Amazon's Alexa. The technology generates voices by sampling real human speech from both English and Mandarin speakers. In tests, the WaveNet generated speech was found to be more realistic than other forms of text-to-speech programs but still falling short of being truly convincing. In 500 blind tests, respondents were asked to judge sample sentences on a scale of one to five (five being most realistic).

Travis wanted Cortana, Microsoft's personal assistant for Windows 10, out of his PC once and for all. He's probably not alone, so I figured I'd detail exactly how to perform a Cortana-ectomy. This procedure was done on the latest build of Windows 10, which is 1607 (the Anniversary Update). Once complete you'll have a regular search bar like in previous versions of Windows. Big kudos to this forum, where I unearthed these tips.

Artificial intelligence is making a lot of promises for even the near future. We already have access to digital assistants like Microsoft's Cortana and Apple's Siri. It has already made great improvements in the healthcare industry. AI can even compose music, dream, and beat us at complex games like Go. All of these advancements are incredible, but why did they start appearing recently, and how far will we be able to push AI? Modern AI has been a thought since the first digital computer was created around the 1940s.