It's the same goal that's pushed universities to make more and more courses and degree programs available over the internet, making it possible for students living on the far sides of the word to get degrees from American universities - and vice versa. But online education has a problem: Of the hordes of students that sign up for massive open online classes (MOOCs), an average of less than 7% finish. Goel thinks artificial intelligence can change that. "There are many reasons" students don't finish, he told Tech Insider. "But one reason is that these MOOCs do not provide any teaching assistants. So you can sign up for a course, say in mathematics, or computer science, or web design, or whatever. But you cannot ask anyone a question like'So how do I download this material?'

From Tony Stark's Jarvis to Apple's Siri, artificial intelligence (AI) is ubiquitous in fiction and real life. Albeit with different levels of skill, AI is supposedly built to maximize chances of reaching a goal, therefore supporting humans. But what would happen if robots, AI systems, and humanoids went rogue? For computer scientist Roman Yampolskiy, the possibilities are endless. Partially funded by SpaceX CEO Elon Musk, Yampolskiy and Pistono's study is conducted for the same reason that DARPA asked techies to turn household items into weapons.

Deep learning, frequently referred to as artificial intelligence, a branch of machine learning utilizing multiple layers of neurons to model high-level abstractions in data, has outperformed humans in tasks including image, text and voice recognition, autonomous driving and others, and is now being applied to drug discovery and biomarker development. In a study published in Molecular Pharmaceutics, a prestigious journal published by the American Chemical Society, scientists from Insilico Medicine in collaboration with Datalytic Solutions and Mind Research Network trained deep neural networks to predict the therapeutic use of large number of multiple drugs using gene expression data obtained from high-throughput experiments on human cell lines. Deep neural networks outperformed other machine learning techniques and did not result in significant drop in performance as the number of classes increased. When the networks got confused and guessed the therapeutic use of the drugs incorrectly, the drugs often had dual use, indicating the possibility of using DNNs for drug repurposing. This is the first known application of deep learning to drug discovery using transcriptional response data.

Can the development of artificial intelligence technology be kicked up a notch? Scientists at Intelligence Advanced Research Projects Activity (IARPA) certainly hope so and recently issued a Request For Information about how AI advances could be made more quickly and consistently. "Artificial intelligence, defined here as computer simulation of cognitive processes such as perception, recognition, reasoning, and control, have captured the public's imagination for over 60 years. However, artificial intelligence research has proceeded in fits and starts over much of that time, as the field repeats a boom/bust cycle characterized by promising bursts of progress followed by inflated expectations and finally disillusionment, leading to what has become known as an "AI winter" – a long period of diminished research and funding activity," IARPA wrote. IARPA is the high-risk, high-reward research arm of the Office of the Director of National Intelligence.

Apple is working on its own competitor to the Amazon Echo to give consumers a Siri-powered speaker for the home, according to a report from The Information today. Not only that, but Apple is also reportedly opening Siri up to third-party apps so developers can finally tap into the voice assistant. The report states that an Echo rival is a more longterm project, while creating and releasing a Siri software development kit is more likely to happen first. In fact, the Siri SDK could arrive as early as June during Apple's annual WWDC conference. While some third-party companies have gained access to Siri, such as Yelp, they've only done so by way of specially crafted deals with Apple.

When surfing the internet, it is quite easy to find sites comparing the most popular Machine learning toolkits (datascience.stackexchange.com, These sites give you a lot of information about the strengths and weaknesses of the libraries, how they work and some examples to compare how easy it is to use these types of tools. Therefore, if you are new to the business, they are very helpful for finding the right library to begin to study your data. Actually, they are written by Data Scientists for Data Scientists. However, as a Software Engineer you would rather know if these tools are going to work well or just crash your servers.

The innovations protected by the new patent tie together graphs and graphical annotations with the corresponding narrative in natural language reports that the Arria NLG software generates. For example, placing one's cursor on a graphical element can cause the corresponding report section to be highlighted for ease of reference. The patented features will be deployed to strengthen the integration of language and graphical elements in the Company's products. As with the Company's other recent patents, the covered features are desirable in any NLG system, not only Arria NLG's advanced Reiter & Dale model language generation system. The new patent is part of a broad diversification plan that Arria NLG has instituted to enhance versatility and improve ease of use, as well as to increase the analytic power and actionable conclusions of its NLG products.

In episode ten of season two, we talk about Computational Learning Theory and Probably Approximately Correct Learning originated by Professor Leslie Valiant of SEAS at Harvard, we take a listener question about generative systems, plus we talk with Aviv Regev, Chair of the Faculty and Director of the Klarman Cell Observatory and the Cell Circuits Program at the Broad Institute.

Leading global IT services company HCL Technologies has been named winner of the'Best Innovation in Natural Language Processing (NLP)' award at the AIconics Awards during the "AI Summit" in London recently. AIconics are the world's only independently judged awards celebrating the drive, innovation and hard work in the international Artificial Intelligence (AI) community. "This award gives testimony to the innovation and pragmatic implementation of'Natural Language Processing' in the 21st century enterprise," Kalyan Kumar, executive vice president at HCL Technologies, said in a statement. HCL was also named as a finalist in the "Best Intelligent Assistant" category which showcases companies making ground-breaking advancements in virtual assistants and advanced voice/text recognition capabilities. The driving force behind HCL's success at the AIconics Awards is "HCL DryICE" -- the company's innovative autonomics and orchestration framework.

Renren.com, once a leading Chinese online social network, is now dubbed as a "cyber Chernobyl". A recent report shows that there are almost no active users left on Renren, as advertising accounts keep pushing uninteresting contents and the system keeps recommending other people's posts that were so "yesterday". Some have jokingly said this must be what will happen to our world after it is taken by AI. Although it is still hard to say whether AI will ultimately do us good or pose threats, robots are indeed gradually entering our lives.