On August 29, 2019 I put on a workshop on Emerging Memories and Artificial Intelligence at Stanford University put on by the Stanford Center for Magnetic Nanotechnology and Coughlin Associates. We had several interesting speakers talking about various types of artificial intelligence and the role that new non-volatile memories will play in both training AI models and implementing them in the field using inference engines. This piece will talk about some of the material presented at this workshop. Dr. Shan Wang, co-organizer of the event gave a introduction, talking about emerging non-volatile memories and in particular on Magnetic Random Access Memory (MRAM). He spoke about how various new memories work--in particular Resistive RAM (RRAM), Phase Change Memory (PCM), MRAM and Ferrroelectic RAM (FRAM).

Synesthesia, which an estimated 1% to 25% of the world's population experience, is a phenomenon in which stimulation of one sensory pathway (such as hearing) leads to involuntary experiences in a second sensory pathway (such as sight). Those with chromesthesia "hear" sounds as color, for instance, while those with lexical-gustatory synesthesia have associations between words and tastes. In a recent study that appears to be at least partly inspired by this area, researchers at the University of Amsterdam investigated an AI system -- Synesthetic Variational Autoencoder, or SynVAE -- capable of mapping characteristics of paintings and other visual art to musical phrases (in the form of MIDI files). They say in a qualitative trial, human evaluators were able to match MIDI files to their muse with accuracies of up to 73%. "Art is experienced as a flow of information between an artist and an observer. Should the latter be visually impaired, however, a barrier appears," wrote the researchers.

Since 2016, 4Tel Pty Ltd of Newcastle, Australia, has been investing in the development of artificial intelligence for application in the rail industry generally. As a part of this activity, 4Tel has a research and development contract with the University of Newcastle Robotics Laboratory known as NUBots, where 4Tel is their Platinum Sponsor. The work is being conducted under Project HORUS, which seeks to develop an Advanced Driver Advisory System (ADAS) using real-time sensors and software to assist a driver in the safe operation of a locomotive. As the technical basis to this work, 4Tel has selectively applied modern autonomous car technology to achieve very sophisticated artificial, intelligence based, ADAS functionality. For safe and efficient operations, a locomotive needs to know exactly where it is, recognise the objects around it, and continuously monitor the authorised route for normal operations.

Since 2016, 4Tel Pty Ltd of Newcastle, Australia, has been investing in the development of artificial intelligence for application in the rail industry generally. As a part of this activity, 4Tel has a research and development contract with the University of Newcastle Robotics Laboratory known as NUBots, where 4Tel is their Platinum Sponsor. The work is being conducted under Project HORUS, which seeks to develop an Advanced Driver Advisory System (ADAS) using real-time sensors and software to assist a driver in the safe operation of a locomotive. As the technical basis to this work, 4Tel has selectively applied modern autonomous car technology to achieve very sophisticated artificial, intelligence based, ADAS functionality. For safe and efficient operations, a locomotive needs to know exactly where it is, recognise the objects around it, and continuously monitor the authorised route for normal operations.

New Delhi: Two startups incubated at the Indian Institute of Technology, Madras, have joined hands with a mission to create 1,00,000 experts in artificial intelligence (AI) and deep learning by 2020. GUVI, which offers a platform for students in Tier 2,3 cities, to learn in vernacular languages, is now collaborating with One Fourth Labs, a startup founded by a IIT Madras faculty, which offers advanced AI courses at nominal fees, starting at ₹1,000. AI is one of the dominant technologies of this generation, which has helped machines reach human-level performance on specific tasks such as identifying faces, classifying images, playing complex strategy games, detecting anomalies in medical images and so on. There is a huge demand for AI talent in India, but the supply is limited due to a shortage of affordable courses, which take students from basics to advanced topics. GUVI will be the platform partner and One Fourth Labs will be the content partner for the joint initiative.

Given the pace and kind of digital disruption underway, businesses understand that cloud is now a prerequisite for success. A burgeoning data wave coupled with superfast computing power (where you can scale up processing power real-time via the cloud) to crunch this deluge of data makes AI/ML a very effective enterprise growth enabler. I therefore believe cloud is the foundation for most emerging technologies like AI/ML, blockchain and chatbots. Speed is an important factor that enterprises need in order to retain/grow their customer base and maintain their success trajectory. That's where AI/ML make all the difference.

The 33rd annual conference on Neural Information Processing Systems (NeurIPS) is going to be held at Vancouver Convention Center, Vancouver, Canada from December 8th to 14th, 2019. The primary focus of the Foundation is the presentation of a continuing series of professional meetings known as the Neural Information Processing Systems Conference, held over the years at various locations in the United States, Canada and Spain. NeurIPS received a record-breaking 6743 submissions this year, of which 1428 were accepted. A popular learning paradigm is hypergraph-based semi-supervised learning (SSL) where the goal is to assign labels to initially unlabeled vertices in a hypergraph. Motivated by the fact that a graph convolutional network (GCN) has been effective for graph-based SSL, the authors propose HyperGCN, a novel GCN for SSL on attributed hypergraphs.

Vasanth, based in Mumbai, is keen to seek advice from a professional lawyer for a civil matter. The matter relates to a property dispute that he is having with his own family. He requires expert advice on how to handle the matter. Sushmita, based in Bangalore, is looking to pursue a bachelor's degree in engineering or medicine in Germany and is interested in seeking help from an admissions counsellor. She is located in Indira Nagar and is keen to find someone in her neighbourhood to help her.

IBM has once again partnered with the United States Tennis Association (USTA) and they're using new AI-powered tools during the US Open to deliver AI-generated highlights, real-time stats and match analysis, as well as an onsite experience center where attendees can experience AI in action. There's a new technology solution, IBM Coach Advisor, that uses AI and analytics to quantify a player's physical exertion and endurance and make correlations to match performance, both during regular games and at the US Open. There's also IBM Watson OpenScale, which figures out the most emotion-packed moments on court for highlight reels. This means that fans watching the men's finals with Danlil Medvedev and Rafael Nadal, or watching highlights from the women's finals with Serena Williams and Bianca Andreescu will be able to view the most breath-taking moments thanks to AI. This is different from the traditional way that coaches assess an athlete's mechanics and endurance.

"It's tough to make predictions, especially about the future." And space stations didn't rotate (at least not on purpose). And these are just a couple examples of technologies that didn't happen when they were supposed to. That doesn't mean, however, accurate predictions couldn't have been made. The fundamental problem was in misreading conditions. The race to the moon in the sixties, for example, was a logical result of the Cold War.