This means that programmers must account for every type of road situation a car may encounter. MIT's Technology Review spoke with Amnon Shashua, CTO and cofounder of the technology firm to learn more about the initiative. Mobileye has been in the news of late for another reason--its system was the one being used by the Tesla vehicle that was involved in a car crash in Florida recently--the incident is still under investigation by the NHTSA. Tesla publicly blamed Mobileye, and because of that, a rift developed between the companies, which are now no longer partners. Shashua does not believe that will harm the company's new initiative, though--building a system based on neural networking, which, if all goes according to plan, will allow a car or truck to learn how to drive in much the same way that humans do. First, by observing someone else doing it, and then by practicing (which the company calls reinforcement learning).

A paralysed man has regained a sense of touch after 10 years while using a mind-controlled robotic hand. In breakthrough tests, 28-year-old Nathan Copeland was able to feel subtle pressure in his own fingers when the artificial ones are touched. The world first experiment is an early step in the quest to create prosthetics that can feel, US researchers claim. A brain chip, called the Brain Computer Interface (BCI), has helped restore feeling to a patient with paralysed hands, a new study claims. Researchers from the University of Pittsburgh studied the sensations felt by a 28-year-old man with tetraplegia from a spinal cord injury.

New research has shown that grocery retailers are struggling to optimise stock replenishment processes, with almost half saying that their decisions are still based on'gut feeling'. Retail applications provider Blue Yonder surveyed 750 grocery managers and directors in the US, UK, Germany and France. It found that, in spite of a rise in accurate algorithms for automated replenishment and demand planning, 46% of surveyed directors in the UK say that replenishment is still an entirely manual process and the same amount saying that it was fully automated. A further 30% believed that instinct-based decision making was slowing them down. Of the four countries involved in Blue Yonder's survey, Germany had the highest proportion of respondents using manual or partially automated systems, with just one-third of managers who had fully automated their stock replenishment processes.

The White House sees artificial intelligence as an increasingly critical technology that can fight cyberattacks, upgrade weapons of war, improve health care and even unclog traffic for the commute home. However, the Obama administration also expects that A.I. will reduce low-level jobs and create security and ethical issues. With critical pros and cons looming, the federal government wants to work with the private sector and academia to guide A.I. in a positive direction, according to a recently released report, Preparing for the Future of Artificial Intelligence. The report was prepared by the National Science and Technology Council's subcommittee on Machine Learning and Artificial Intelligence. "A.I. can be a major driver of economic growth and social progress, if industry, civil society, government, and the public work together to support development of the technology, with thoughtful attention to its potential and to managing its risks," the report states.

N-myristoyltransferase (NMT) catalyzes the transfer of myristate to the amino-terminal glycine of a subset of proteins, a co-translational modification involved in trafficking of substrate proteins to membrane locations, stabilization and protein-protein interactions. It has been studied and validated pre-clinical drug target for fungal and parasitic infections. In the present study, machine learning approach, docking studies and CoMFA analysis has been integrated with the objective of translation of knowledge into pipelined workflow towards the identification of putative hits through screening of large compound libraries. In the proposed pipeline, the reported parasitic NMT inhibitors have been used to develop predictive machine learning classification models. Simultaneously, TbNMT complex model was generated to establish relationship between binding mode of inhibitors for LmNMT and TbNMT through molecular dynamics simulation studies.

Measurement of true customer satisfaction has always been the Holy Grail of customer experience. Sure, there are several methods currently in use, including net promoter scores (NPS), customer effort scores, and customer satisfaction scores (CSAT). Typically these approaches are fed by customer surveys--quite often the results are too little and too late. But what would happen if we disrupted customer satisfaction measurement using the Internet of Things (IoT) and artificial intelligence (AI)? The first step to this new disruptive approach is to have customers opt in and provide the data streams that could be fed into an IoT Complex Event Processor (CEP engine), which is a collection of technology components that can process millions of events from mobile devices, connected products, website clicks, social media posts, and pretty much any type of message that can be generated by computers.

As you may have noticed, we've been researching artificial intelligence (AI) and its economic and educational implications. From healthcare to transportation, we believe it is incredibly important for young people and adults to be learning about AI, and we are writing more about it to equip teachers and parents with information to help young people ask good questions about the implications of AI on their lives and livelihoods. To get the scoop, I sat Tom Vander Ark down for a podcast interview on AI. You'll also hear from Gerald Huff, a senior Silicon Valley software engineer, who shares his thoughts on AI and what it means for students and the transportation industry. Listen to the podcast, read excerpts from the interview below and be sure follow the campaign at #AskAboutAI.

The workshop will take participants through the conceptual and applied foundations of the subject.

John McClurg, Vice President in the Office of Security and Trust (OST), Cylance, told us, "CylancePROTECT is a truly advanced threat prevention solution. It sits on each endpoint within the organization, whether it's a desktop, laptop, mobile device, server, or virtual machine. By applying artificial intelligence, machine learning, and mathematic techniques, it instantly identifies and prevents malware and cyberattacks from executing. Basically, it protects from every threat known and yet-to-be-known, including system- and memory-based attacks, malicious documents, zero-day malware, privilege escalations, scripts, and potentially unwanted programs. The solution boosts the efficiency of your IT resources and reduces user impact throughout your organization. The endpoint security product uses little memory, less than 1% of CPU. It requires no Internet connection or signature updates and is engineered to run with minimal updates and fewer system resources. In addition, it works with Windows and Mac OS, easily integrates into existing security platforms, and is available in OEM and embedded versions for technology partners. It operates in every environment, whether it's 1,000, 10,000, or 100,000 endpoints. James Lantrip, Segment Head, Security, Siemens Industry, Inc., told us, "Siemens has a very customer-centric view.

I need something that I can reproduce paper results and experiment myself with different architectures and tuning, extracting embeddings and that sort of thing. I know of a couple of frameworks such as TF, TF-Learn, TF-Slim, Theano so I'd like suggestions on which ones I should use.