The U.S. Environmental Protection Agency is revising the Energy Star specification for servers to take into account significant system design changes and help buyers make effective purchasing decisions. Over the last few years, server makers have increasingly used coprocessors to boost computing power and given memory a bigger role in processing data. While memory has gotten more power-efficient, coprocessors can suck up a lot of energy. The upcoming, version 3.0 of the Energy Star spec for servers is aimed at helping buyers understand the power-efficiency levels of the new systems. The Energy Star program is already used in computers, appliances, electronics and many other products.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Apparently, Nest might only have itself to blame for that absence. The insiders say that Nest has had to delay numerous products in recent times, including Flintstone (an unannounced security system hub), Pinna (the sensors for that system) and Project Goose (its thermostat's new location-based temperature adjustments). Why would Google or its parent Alphabet rely on Nest when its technology frequently isn't ready? It's supposedly a mixture of frequent design changes and organizational issues that are to blame. Flintstone has been under constant revision, and Nest's rapid expansion (especially following the Dropcam acquisition) has forced it to shift from an executive-focused culture to one where everyone is encouraged to take the initiative.

Maybe Skynet will not be our future. Maybe artificial intelligence will not be the machines that disdainfully wipe us out, but instead, will be the long-awaited "little child" who finally leads our species out of its vicious cycles of violence, red in tooth and claw. I had an interesting thought while - appropriately - sitting on a beach by Malibu watching the red sun sink into the sea... Humans evolved as prey animals. According to Sapiens author, Yuval Harari, for a whoppingly overwhelming majority of our evolution, we were bear and tiger food. And so we developed the quick-twitch fight-or flight reactivity of prey animals, always on guard.

Many years ago, I discovered the Mac's built-in computer voice that would say anything you wanted with a few keystrokes on the command line. Of course, I immediately tested the feature by making my computer swear. Getting a computer to say things it shouldn't is practically a tradition. That's why it came as no surprise when Tay, the millennial chatbot created by Microsoft, started spewing bigoted and white supremacist comments within hours of its release. Tay began as an experiment in artificial intelligence released by Microsoft on Wednesday.

The credit card transaction described here in details is a real example of a fraudulent transaction performed by organized criminals, undetected by all financial institutions involved, and very easy to detect with simple text mining techniques.

Machine learning is generating a tremendous amount of attention these days from the press as well as the practitioners. And rightly so – machine learning is a transformative technology. But despite the references to the topic, the money raised from venture capitalists, and the spotlight that Google is bringing to the subject, machine learning is still poorly understood outside of a core group of highly technical leaders. This has the effect of underestimating how transformative machine learning is going to be. It also has the effect of shielding business leaders from what they need to do to prepare for the era of machine learning.

Being a person confers certain natural rights: Identity, voice, ownership, lineage, station. It is the entity of taxation, of action, of legality, of responsibility and of reward. Yet the inquiry into "what is a person" can be a much broader one, especially in an era of rapidly shifting distinctions between human, animal and machine capabilities. Initially, it may seem like "what is a person" has a clear answer: A person is an individual Homo sapiens, who is naturally born and naturally dies. Yet the lines are blurring.

We have seen incredible progress in machine learning and artificial intelligence (AI) over the past few years, especially through the application of deep learning algorithms. AI systems will get even better as more data is collected, so faster data gathering and better data integration should lead to smarter and more useful AI systems. Recently I described a new class of system that I believe will take form and leverage AI and combine workflow automation to improve how care is delivered -- I termed this: "Intelligent Clinical Decision Automation." This AI-powered automation will consume vast amounts of data and will automate entire processes or workflows, learning and adapting as it goes. Some clinicians and others may be concerned that this sort of automation removes the "gut instinct" of the experienced professional from the mix, but in fact it is that sort of thinking and reasoning process -- even unconscious reasoning process -- that is embodied in this approach.

It took less than 24 hours for Twitter to corrupt an innocent AI chatbot. Yesterday, Microsoft unveiled Tay -- a Twitter bot that the company described as an experiment in "conversational understanding." The more you chat with Tay, said Microsoft, the smarter it gets, learning to engage people through "casual and playful conversation." Pretty soon after Tay launched, people starting tweeting the bot with all sorts of misogynistic, racist, and Donald Trumpist remarks. And Tay -- being essentially a robot parrot with an internet connection -- started repeating these sentiments back to users, proving correct that old programming adage: flaming garbage pile in, flaming garbage pile out.