Artificial intelligence has long been thought of in terms similar to that of fusion power -- it's always 20 years away. Outside, it was a normal morning. Inside, looking out the window and barely noticing the chickadee, the business woman, a manager at a large call center downtown, waited for her morning coffee. It was a short wait. Her coffee maker knew that she woke at 5:30 a.m. It knew that because the alarm clock in the woman's bedroom sensed her movement and saved that information to the woman's Amazon Web Services (AWS) account. The coffee maker, also tied to that AWS account, took the hint and turned itself on. Ten minutes later, the shower came on in the bathroom. This also was noted by the house's systems and that data point was duly recorded by the woman's AWS account. That was the next cue for the coffee maker. It was plumbed directly into the house's water lines, and it opened the valve and filled itself with just the right amount of water to brew the coffee. It was brewing as the woman dressed, and five minutes after the woman appeared, the coffee was delivered to her by her Boston Dynamics personal assistant. She took a sip, just as the chickadee flew away. It was now 6:30 a.m., and time to leave for the office. Just like every other weekday, it would be a peaceful commute. As she left her apartment building and the door closed behind her, her ride was just pulling up to the curb.

Amazon might want to consider placing more of its delivery drivers in uniforms, based on a comment from one of its higher-profile customers. Ice T, the rapper who later became a TV star on "Law & Order: SVU," posted a tweet on Tuesday claiming he almost shot one of the tech giant's drivers who was "creeping up to my crib" the night before to complete a delivery. "Message To Amazon: Now that you have regular people making your home deliveries.. Maybe they should wear a Vest with AMAZON DELIVERY on it," said Ice T on Twitter. In a follow-up tweet, Ice T said he wasn't mad at the delivery person but noted it's not safe for the drivers to operate without some type of uniform. Message To Amazon: Now that you have regular people making your home deliveries.. Maybe they should wear a Vest with AMAZON DELIVERY on it..... Amazon customer service reached out to Ice T on Twitter, saying his comments would be escalated to the company's logistics team for review.

The city of Henderson is hoping artificial intelligence could make their roads safer by cutting back on the number of crashes.

The Special Operations Command plans to apply artificial intelligence into its operations to help the U.S. stay ahead of Russia, China and other …

A lack of skilled talent is the biggest obstacle for organizations looking to take advantage of artificial intelligence (AI), according to a SnapLogic report.

Walmart has opened a store in Levittown, N.Y. that is intended to showcase the power of artificial intelligence. The store, announced last week, is packed with video cameras, digital screens, and over 100 servers, making it appear more like a corporate data center than a discount retailer. All that machinery helps Walmart automatically track inventory so that it knows when toilet paper is running low or that milk needs restocking. The company's goal is to create "a glimpse into the future of retail," when computers rather than humans are expected to do a lot of retail's grunt work. Walmart's push into artificial intelligence highlights how retailers are increasingly adding data crunching to their brick and mortar stores.

When ML models need to be regularly updated in production, a host of challenges emerges. No one tool can do it all for you - organizations using a mix of Git, Makefiles, ad hoc scripts and reference files for reproducibility.

Microsoft's latest breakthrough could make DNA-based data centers possible

Abstract: In this work, we propose a non-autoregressive seq2seq model that converts text to spectrogram. It is fully convolutional and obtains about 17.5 times speed-up over Deep Voice 3 at synthesis while maintaining comparable speech quality using a WaveNet vocoder. Interestingly, it has even fewer attention errors than the autoregressive model on the challenging test sentences. Furthermore, we build the first fully parallel neural text-to- speech system by applying the inverse autoregressive flow (IAF) as the parallel neural vocoder. Our system can synthesize speech from text through a single feed-forward pass. We also explore a novel approach to train the IAF from scratch as a generative model for raw waveform, which avoids the need for distillation from a separately trained WaveNet.