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

Bots on Slack can help your team be more productive and accomplish more tasks. They can help you increase visibility into your operations or help your customers easily get information through a natural, conversational interface. However, building and running bots can be a time consuming and difficult task. Developers must provision, manage, and scale the compute resources that run the bot's code. Wouldn't it be nice if you could focus on building great bots without worrying about how to run and scale them?

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

Today, Amazon announced the Alexa Prize, an annual university competition dedicated to accelerating the field of conversational artificial intelligence (AI). The goal of the inaugural competition is to build a "socialbot" on Alexa that will converse with people about popular topics and news events. The team with the highest-performing socialbot will win a 500,000 prize. Additionally, a prize of 1 million will be awarded to the winning team's university if their socialbot achieves the grand challenge of conversing coherently and engagingly with humans for 20 minutes.

Artificial intelligence (AI) is becoming ubiquitous. With advances in technology, algorithms, and sheer compute power, it is now becoming practical to utilize AI techniques in many everyday applications including transportation, healthcare, gaming, productivity, and media. Simple and natural for humans, voice communication in everyday language continues to be one of the ultimate challenges for AI. Human conversation requires the ability to understand the meaning of spoken language, relate that meaning to the context of the conversation, create a shared understanding and world view between the parties, model discourse and plan conversational moves, maintain semantic and logical coherence across turns, and to generate natural speech. Today, we are pleased to announce the Alexa Prize, a 2.5 million university competition to advance conversational AI through voice.

Forget the Internet of Things market, the Internet of Robotic Things (IoRT) is expected to be a multibillion-dollar business by 2022. According to Research and Markets, the Internet of Robotic Things market is expected to be valued at 21.44 billion by 2022, growing at a CAGR of 29.7 percent between 2016 and 2022. The growth of this market is being largely driven by adoption of IoRT by the eCommerce industry, increasing application areas owing to integration of robots with various technologies, short payback period and return on investment. "The collaborative robots in industrial sector are used in manufacturing industries to speed up the production processes, increase productivity and efficiency and minimize the costs involved in production in the long term," a press release announcing the new report stated. "The smart robots are being adopted by the industrial sector to work along with the humans. Collaborative robots are used in the various industrial segments to help humans in the activities, such as welding, painting, sorting, among others. It is expected that smart robots performing autonomous tasks would solve the problem of scarcity of labor among industries."

Summary: What comes next after Deep Learning? How do we get to Artificial General Intelligence? Adversarial Machine Learning is an emerging space that points to that direction and shows that AGI is closer than we think. Deep Learning, Convolutional Neural Nets (CNNs) have given us dramatic improvements in image, speech, and text recognition over the last two years. They suffer from the flaw however that they can be easily fooled by the introduction of even small amounts of noise, random or intentional.

One of the examples of these areas in action is work Accenture is doing using a a combination of drones, computer vision, Bayesian learning and geospatial analytics to survey palm fields in Indonesia. Through the application of Artificial Intelligence, we've been able to help a leading forestry company in Indonesia analyze over 1 million records and 6000 variables covering 15 years across 0.5 million hectares of land. This involves combinations of disparate data such as GIS, Video, Water table, Soil information, historical inventory, work orders and more. Through this work we've helped identify deforestation and growth patterns, and identify areas and species where planting seedlings to reforest is not effective. We've gone from what used to take 36 human hours of analysis down to minutes.

If you spend your work days toiling in Google's productivity apps, the first thing you might notice today is that Google for Work is now called "G Suite". Once you get past the new label, you might also notice a slew of smart updates across the board that ought to save you time and keep your workflow moving. First up: Docs, Sheets and Slides got a new "Explore" feature that uses natural language search to help you research reports, organize data or design better looking presentations. In each of the main apps, an Explore button brings up a new sidebar with contextual options based on the app you're using. In Docs, this means Explore will search and suggest images, web links or other Drive documents that appear relevant to the content you're writing.

Americans want to stay in control of their cars, a new study finds. According to a study by Kelley Blue Book, 80 percent of Americans say people should always have the option to drive themselves. This study comes just a week after the Department of Transportation released regulatory guidelines for self-driving vehicles. And it comes comes as car companies are spending billions to advance the technology. But despite the push toward autonomous cars, consumers remain unconvinced.