CAMBRIDGE, United Kingdom: Professor Stephen Hawking on Oct 19 opened a new artificial intelligence research centre at Britain's Cambridge University. Funded by a 10mil (RM51.32mil) Opening the new centre, Hawking said it was not possible to predict what might be achieved with AI. "Perhaps with the tools of this new technological revolution, we will be able to undo some of the damage done to the natural world by the last one – industrialisation. "And surely we will aim to finally eradicate disease and poverty. Every aspect of our lives will be transformed.

They will also gain a chance to explore new dimensions of next-gen technologies like Cloud, Cognitive, Analytics, IoT and Mobility, IAN said in a statement here. "IAN and its portfolio companies has been associated with IBM in the past and this partnership has helped nurture high growth startups. We believe this synergistic partnership will breed innovative technologies and grow global footprint companies from India," said Padmaja Ruparel, Co-founder, president IAN. IAN and IBM will work on various joint initiatives, to further technology innovation and offer mentorship and funding support to early stage startups, that will enhance their ability to scale business both in terms of technology and newer business engagements, it added. "IBM will engage, influence and mentor the early stage startup ecosystem and additionally nurture an IP led startup ecosystem focused on IOT, Artificial Intelligence, Security, Commerce etc and influence by design thinking," said Nipun Mehrotra, Vice President, Growth Initiatives, IBM India/ South Asia.

Tesla Motors' cars will come fitted with full self-driving hardware, as the company jousts with tech rivals like Google and car makers like Ford who are making a dash for the autonomous car market. Model S and Model X cars with the inbuilt hardware are already in production and customers can buy one, Tesla said Wednesday. But the features possible with the new hardware will be enabled only later through over-the-air updates after testing over "millions of miles of real-world driving," Tesla added. The company is evidently not taking chances after deaths in accidents involving Tesla cars in China and Florida raised some questions about the readiness of autonomous technology. In the Florida instance, it was confirmed that Tesla's Autopilot technology for driver-assistance was activated, while in the China incident, Tesla said it does not have sufficient data to establish that the technology was engaged.

Futurewei Technologies Inc. (DBA Huawei R&D) is a leading global information and communications technology solutions provider. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 170 countries, serving more than one third of the world's population. Futurewei has over 150,000 employees, approximately 70,000 of which are engaged in Research & development.

Submission: December 12, 2016 Notification: December 21, 2016 Camera ready: January 9, 2017 Workshop: February 21, 2017 Website: http://www.cs.put.poznan.pl/maltesque/ The aim of the workshop is to provide a forum for researchers and practitioners to present and discuss new ideas, trends and results concerning applying ML to software quality evaluation. We expect that the workshop will help in (1) validation of existing and exploring new applications of ML, (2) comparing their efficiency and effectiveness, both among other automated approaches and the human judgement, and (3) adapting ML approaches already used in other areas of science.

DNN, an algorithm modeled after the neural networks of the human brain, is expected to perform recognition processing as accurately as, or even better than the human brain. To achieve automated driving, automotive computers need to be able to identify different road traffic situations including a variety of obstacles and road markings, availability of road space for driving, and potentially dangerous situations. In image recognition based on conventional pattern recognition and machine learning, objects that need to be recognized by computers must be characterized and extracted in advance. In DNN-based image recognition, computers can extract and learn the characteristics of objects on their own, thus significantly improving the accuracy of detection and identification of a wide range of objects. Because of the rapid progress in DNN technology, the two companies plan to make the technology flexibly extendable to various network configurations.

In a significant step forward for artificial intelligence, Alphabet's hybrid system -- called a Differential Neural Computer (DNC) -- uses the existing data storage capacity of conventional computers while pairing it with smart AI and a neural net capable of quickly parsing it. "These models can learn from examples like neural networks, but they can also store complex data like computers," wrote DeepMind researchers Alexander Graves and Greg Wayne. Much like the brain, the neural network uses an interconnected series of nodes to stimulate specific centers needed to complete a task. Instead of having to learn every possible outcome to find a solution, DeepMind can derive an answer from prior experience, unearthing the answer from its internal memory rather than from outside conditioning and programming.

He took NYC Data Science Academy 12 week full time Data Science Bootcamp program between Sept 23 to Dec 18, 2015. The post was based on his fourth class project(due at 8th week of the program). Kaggle is the most famous organization dedicated to Data Science competitions, but there are others. One of these is Driven Data. Beyond the difference in visibility, a point of divergence between Kaggle and Driven Data is that the latter's competitions often have a social focus as opposed to the former's usual business leanings.

IBM ibm Watson is teaming up with Quest Diagnostics dgx in a significant expansion of its ongoing cancer genomic sequencing and precision medicine push. The company announced Monday it is launching a new service with lab testing giant Quest and New York's Memorial Sloan Kettering Cancer Center called Watson Genomics from Quest Diagnostics. "The service will make Watson for Genomics widely available to physician and patients nationwide for the first time," said IBM in a statement. IBM has already struck prominent collaborative arrangements with major cancer research centers like those at the Broad Institute of MIT and Harvard. The firm is trying to help oncologists identify the proper treatments and clinical trials for their patients' specific cancers.

Replatforming a business of our size and scale takes time. However, our pace of innovation is accelerating. We're increasingly using structured data and artificial intelligence to transform shopping on eBay, delivering more personalization capabilities, continuing to iterate our mobile experience, and bringing more unique inventory and categories to our customers. We've got more work to do, but I'm confident we're on the right path. Now, let me turn it over to Scott, and he'll provide more details on our Q3 results.