Google combines all of its cloud services under the'Google Cloud' brand -- Google for Work, Google's Cloud Platform and the rest of the company's cloud-based services are getting a new name. They have now been combined under the "Google Cloud" moniker. Google's Diane Greene made the announcement … Google changes'Google Apps for Work' to'G Suite,' adds more machine intelligence features Daniel Bader / Android Central: Daily brief: Android Weariness, Google Maps listens, and what the heck is LeEco? Jordan Novet / VentureBeat: Google reorganizes cloud services under new'Google Cloud' brand Stephanie Condon / ZDNet: Google announces tools to'democratize' machine learning Barb Darrow / @gigabarb: Honest to God, WHY did this take so long? Brett Crosby / @brettc: Ha, can't tell you how many times we tried to push the Google Cloud brand and got shut down.

A Tesla electric car crashed into a tourist bus on a motorway in northern Germany with the driver claiming he had activated the car's autopilot system. The driver of the Tesla car was injured, while the 29 people on board the Danish bus were unhurt in the incident on Wednesday, police in Ratzeburg in Schleswig-Holstein state said. The 50-year-old driver's car hit the bus as it changed lanes outside the northern town of Gudow. Available for Tesla's Model S electric cars since October 2015, the driverless autopilot system has come under global scrutiny following fatal crashes in northern China in January and in the US state of Florida in May (file photo) 'We will now have to look into why the autopilot didn't work to prevent the crash,' police said in a statement. Available for Tesla's Model S electric cars since October 2015, the driverless autopilot system has come under global scrutiny following fatal crashes in northern China in January and in the US state of Florida in May.

Tech companies are investing heavily in artificial intelligence, and touting the financial benefits of AI-powered technologies like robots, virtual assistants and augmented reality, Now, a new study reports that artificial intelligence could dramatically boost economic growth and productivity. The Accenture report looked at 12 countries and found that AI -- or technology that senses the environment, comprehends what's happening and takes action -- could increase productivity by up to 40 percent in 2035. The report also forecasts economic growth in the U.S. could increase from 2.6 percent to 4.6 percent over the same period with the adoption of AI technologies. Among the countries that stand to make the largest gains in productivity from AI in 2035 are Sweden, Finland, the U.S. and Japan. "The impact this has is that it automates a lot of the low-level tasks and gets them done with higher satisfaction," says Accenture's chief technology officer, Paul Daugherty.

The web is a vast storehouse of knowledge and with people becoming more and more internet savvy, search engines have become an integral part of our lives. Companies like Google and Microsoft are actively investing in their respective search engines to keep up with the growing demand for information. However the endeavor does not end there. Search engine providers have to improve the search algorithms continuously, add new features and look into further innovations. Over the years, searching on Google, Bing or even Facebook has seen a drastic improvement, not only in terms of the results they deliver, but also with the accuracy of these results.

TOKYO Japan's Sharp Corp said it will spend 570 million on its organic light-emitting diode (OLED) screen business - one of its first major investments since it was taken over by Taiwan's Foxconn although the amount pales in comparison to efforts by South Korean rivals.

According to global startup analytics firm CB Insights – India's funding ecosystem saw a 46% fall in in the 4th quarter of 2015, compared to the previous quarter. Their latest report says funding to Indian startups dropped a further 60% in the second quarter of 2016. But this'funding-detox' is giving way to better startups – more space to grow. It isn't stopping people from starting on an entrepreneurial journey and the investors too think there has never been a better time to start-up. Upside of funding drying up is that "hobby entrepreneurs" with nonsensical ideas are retreating and real entrepreneurs are getting a fair hearing.

Skymind, a company developing an open-source deep-learning library for Java, along with tools for implementation, today closed 3 million in financing from Tencent, SV Angel, GreatPoint Ventures, Mandra Capital and Y Combinator. Skymind was previously part of Y Combinator's Winter 2016 batch and has taken money from Joe Montana's Liquid 2 Ventures and a number of other prominent angels. Chris Nicholson, the company's co-founder and CEO, decided to start the company after he noticed the steady stream of deep-learning researchers leaving the halls of academia for the six- and seven-figure salaries of large tech companies. With human capital becoming a finite resource, the challenge quickly became about helping companies leverage existing resources to play in the world of deep learning. Eighty percent of the world's programmers are versed in Java programming.

Data science sits at the core of any analytical exercise conducted on a big data or Internet of Things (IoT) environment. Data science involves a wide array of technologies, business, and machine-learning algorithms. The purpose of data science is not only to do machine learning or statistical analysis, but also to derive insights out of the data that a user with no statistics knowledge can understand. In a fast-paced environment such as big data and IoT, where the type of data might vary over the course of time, it becomes difficult to maintain and re-create the models each and every time. This gap calls for an automated way to manage the data-science algorithms in those environments.

As we inch closer to a time when we may rely on truly autonomous devices to move us or do things on our behalf, the need for software that's able to think on its feet (or mid-air) will be essential. Now, an artificial intelligence startup working on this emerging area of machine learning has raised a seed round of funding to try to do just that. Cambridge, UK-based Prowler.io, which is building a platform that can be used by makers of autonomous systems to help those machines think and learn to make better decisions, has raised 1.5 million ( 2 million). The company is still largely in stealth with little information available online. But CEO Vishal Chatrath tells me that the funding -- which comes from Passion Capital, Amadeus Capital and Singapore's Infocomm Investments -- will be used to continue research and development of its platform, as well as hiring more talent to build it.

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.