If you're like me, you're real lazy, you hate gyms and there are a ton of life improvements you want to make, but again, you're just too lazy. But you're also starring down the barrel of being the most unhealthy human on the planet and know it's time to bear down. It's not time to go knock out a 10-mile run while crushing four bottles of water quite yet, so let's ease into it. To start, you'll need an Amazon Echo. We love the Echo at Reviewed and made a list of everything it can do and check out Amazon's.

This post was done in partnership with Wirecutter, reviews for the real world. When readers choose to buy Wirecutter's independently chosen editorial picks, it may earn affiliate commissions that support its work. Imagine walking into your home at night, arms overflowing with groceries. To turn your smart lights on, you'd need to put the bags down, pull out your phone, unlock it, open the app, find the control for the lights you want, and then tap the icon. With an Amazon Echo and Alexa, you simply say, "Alexa, turn on the kitchen lights."

Daimler's new Mercedes A-Class, unveiled on Friday, includes the German automaker's own machine-learning and voice recognition technology in one of the industry's boldest attempts so far to take on Silicon Valley's finest. The Mercedes "MBUX" dashboard system to be rolled out across the lineup is about as capable at understanding what you say - and more importantly what you mean - as Amazon's Alexa, Apple's Siri or Alphabet's Google Assistant. Its debut comes as carmakers are embroiled in a tech arms race, raising questions about the ultimate profitability of new services that often duplicate those available on smartphones. Daimler itself warned on Thursday that 2018 profit growth would be dampened by technology investment. Carmakers, especially premium manufacturers, are resisting the encroachment of tech giants on several fronts including autonomous driving and connected services - whose commercial potential multiplies with voice recognition and assistance.

Echo Spot brings you everything you love about Alexa, in an all-new stylish and compact design that can show you things. Just ask to see the weather, get the news with a video flash briefing, set a music alarm (Amazon Music, Spotify & TuneIn supported), see lyrics with Amazon Music, see your calendar, browse and listen to Audible audiobooks, and more. Personalise your Spot with a collection of clock faces to suit your style or set a photo background from Prime Photos. Plus, make calls to friends and family between supported Echo devices or the Alexa App, or make video calls to anyone with an Echo Spot, Echo Show or the Alexa App. Echo Spot features second-generation far-field technology with four microphones, beam-forming technology and enhanced noise cancellation, so it can hear you from across the room--even while music is playing.

An ex-YouTube insider reveals how its recommendation algorithm promotes divisive clips and conspiracy videos. Did they harm Hillary Clinton's bid for the presidency? Fri 2 Feb 2018 07.00 EST Last modified on Fri 2 Feb 2018 08.54 EST It was one of January's most viral videos. The 22-year-old, who is in a Japanese forest famous as a suicide spot, is visibly shocked, then amused. "Dude, his hands are purple," he says, before turning to his friends and giggling. "You never stand next to a dead guy?" Paul, who has 16 million mostly teen subscribers to his YouTube channel, removed the video from YouTube 24 hours later amid a furious backlash. It was still long enough for the footage to receive 6m views and a spot on YouTube's coveted list of trending videos. The next day, I watched a copy of the video on YouTube. Then I clicked on the "Up next" thumbnails of recommended videos that YouTube showcases on the right-hand side of the video player. This conveyor belt of clips, which auto-play by default, are designed to seduce us spending more time on Google's video broadcasting platform. I was curious where they might lead.

Fri 2 Feb 2018 07.00 EST Last modified on Fri 2 Feb 2018 07.02 EST YouTube's recommendation system draws on techniques in machine learning to decide which videos are auto-played or appear "up next". The precise formula it uses, however, is kept secret. Aggregate data revealing which YouTube videos are heavily promoted by the algorithm, or how how many views individual videos receive from "up next" suggestions, is also withheld from the public. Disclosing that data would enable academic institutions, fact-checkers and regulators (as well as journalists) to assess the type of content YouTube is most likely to promote. By keeping the algorithm and its results under wraps, YouTube ensures that any patterns that indicate unintended biases or distortions associated with its algorithm are concealed from public view. By putting a wall around its data, YouTube, which is owned by Google, protects itself from scrutiny.

Machine learning isn't a futuristic concept that will have some unforeseen impact far down the road. The technology is already here and impacting business. Data analysis, content creation and better insights into customer data are just some of the ways a company can benefit from machine learning. The other major misconception is that machine learning is only for major companies with massive data sets. Small businesses have much to gain from machine learning as well, given the potential it has for better customer insights and changing the way a business can scale up.

Jeff Bezos, the world's richest man, has added another $20 billion (£14 billion) to his wealth after his firm Amazon reported its largest ever surge in profits. Amazon sales increased by 38 per cent in the last three months of 2017, to more than $60.5 billion (£42.4 billion), according to its latest quarterly financial results. For comparison, it took Amazon more than 14 years to make, cumulatively, as much profit as it did in the latest quarter alone. The profits were driven by sales of its voice-activated Echo devices and an increase in the number of Prime members. They were also helped by an increase in holiday shopping online and by Amazon's cloud business, Amazon Web Services.

Machine learning is no longer confined to the realms of science fiction. It's the reason Google can deliver scarily accurate search results, Facebook's ads are far more appealing to you than they used to be, and your emails aren't full of spam. As the field continues to develop, businesses that want to stay competitive need to keep up with both the potential and limitations of this tech. In this post, we'll take a look at what machine learning is, how it affects you, and examine different use cases. Machine learning is the idea that a machine can make logical decisions and have interactions based on previous experiences in a way that mimics human decisions. Let's backtrack a little and take a look at how most computer programs work. A developer creates a set of rules that tell the machine what to do in a specific situation. The problem with this is that the program relies on the developer's ability to accurately predict a series of future situations. This limits the potential outcomes.

Patients hate when their physician continually looks at a computer or tablet, and this behavior degrades the physician-patient relationship. Smart speakers facilitate charting data and accessing information while continuing to make eye contact with the patient. Accessing information in the sterile operating room is cumbersome, and surgeons are essentially robbed of the ability to use standard desktop/smartphone technologies. This is solved beautifully by the smart speaker. Healthcare providers face crushing workloads, and there is a premium on immediate information accessed seamlessly.