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

Ford outlined a few of the ways it's aiming to ship driverless cars by 2021, and part of the plan involves acquisitions. CEO Mark Fields revealed at a press event in Palo Alto today that the automaker acquired SAIPS, an Israeli company focusing on machine learning and computer vision. It's also partnering exclusively with Nirenberg Neuroscience, to bring more "humanlike intelligence" to machine learning components of driverless car systems. SAIPS' technology brings image and video processing algorithms, as well as deep learning tech focused on processing and classifying input signals, all key ingredients in the special sauce that makes up autonomous vehicle tech. This company's expertise should help with on-board interpretation of data captured by sensors on Ford's self-driving cars, and turning that data into usable info for the car's virtual driver system.

This week saw the placation of GST bill on logistics along with many more news such as evolvement of digital payments and artificial intelligence in E-commerce industry. The meeting of AI and e-commerce could not only transform the way jillions of online transactions are done, but also change the in-store purchase behaviors which are influenced by digital interactions. According to Sachin Bansal, CEO, Flipkart, artificial intelligence is a key differentiator in the fiercely competitive e-commerce business. Digital payments will grow 10 times to reach 500 billion by 2020 and contribute 15% of gross domestic product (GDP). Some of the key reasons of these acquisitions include privacy of customer's payment data, secured payment facility and use of payment data for big data analysis to the company.

Nasa launches million dollar contest to create'Valkyrie' AI robot that will accompany astronauts on ...

The latest news about Google's head of search, Amit Singhal, to leave the company he spent 15 years with, had the shocking effect on the SEO community. And what is more surprising - his successor, John Giannandrea, is the one who has worked on artificial intelligence at Google (including RankBrain - the part of search algorithm which uses AI to work with a queries search engine was not able to understand before). With this change of executives, we may be on the verge of a new era - the era of transition from the algorithm-based search to AI-based search. To power its artificial intelligence, Google uses deep learning (also known as neural networks) - one of machine learning methods, which uses a mathematical model to mimic the way as human brain neurons work. Deep learning is built on the concept of digital neurons, organized into layers.

The rise of artificial intelligence has long stoked fears of killer robots like the "Terminator," and early versions of military automatons are already in the battlefield. Now the Navy is looking into how it can teach machines to do the right thing. "We've been looking at different ways that we can have people interact with autonomous systems," Marc Steinberg, an Office of Naval Research manager, said in a phone interview this month. The Navy is funding a slew of projects at universities and institutes that look at how to train such systems, including stopping robots from harming people. In 1979, a Ford autoworker in Michigan became the first person killed by a robot when he was struck in the head by the arm of a 1-ton production-line machine, according to Guinness World Records. More recently, police in Dallas used a robot to deliver a bomb that killed the shooter who opened fire on officers at a Black Lives Matter protest.

TEL AVIV, ISRAEL and NEW YORK, NY--(Marketwired - August 16, 2016) - Logz.io, the log analysis company that offers the open-source ELK Stack as a cloud service, today released Cognitive Insights . This new analytics solution is powered by artificial intelligence that identifies critical events in IT environments before they cause further damage to the bottom line. With the growing amount of machine-generated Big Data within organizations, it is unrealistic to expect human beings to look at every piece of information. This causes most companies to face the challenge of detecting critical events in their increasingly complex IT environments early enough in order to take corrective actions. Cognitive Insights proactively alerts IT managers to problems before they outwardly affect the the business.

What Exactly Do You Mean By AI?

Data scientists and deep and machine learning researchers rely on frameworks and libraries such as Torch, Caffe, TensorFlow, and Theano. Studies by Colfax Research and Kyoto University have found that existing open source packages such as Torch and Theano deliver significantly faster performance through the use of Intel Scalable System Framework (Intel SSF) technologies like the Intel compiler and performance libraries for Intel Math Kernel Library (Intel MKL), Intel MPI (Message Passing Interface), and Intel Threading Building Blocks (Intel TBB), and Intel Distribution for Python (Intel Python). Andrey Vladimirov (Head of HPC Research, Colfax Research) noted that "new Intel SSF hardware and software in combination with code modernization delivered an observed 50x machine learning performance improvement in our case study". In the Colfax Research and Kyoto case studies as well as general Python scientific computing benchmarks, results run up to two orders of magnitude (100x) faster as a result of using Intel SSF technologies. Python is a powerful and popular scripting language that provides fast and fundamental tools for machine learning and scientific computing through popular packages such as scikit-learn, NumPy and SciPy.

The marriage of computing power and data is finally bearing fruit in the field of cognitive computing, sometimes called machine learning or, more controversially, artificial intelligence. In its most everyday form, we see it in tools such as Google Translate or Microsoft's Bing Translate, which can translate phrases and documents effortlessly across multiple languages. More futuristically, the promise of self-driving vehicles, which can complete entire road journeys without driver intervention, is already being realised. Yet the biggest revolution in work is happening at some of the most basic levels, such as reading and dissecting legal documents to extract meaning and useful information. The tedious slog of work can be transformed by computers which are able to read and parse legal phrases, and summarise them or enter relevant details into a database or spreadsheet.