This Week in Machine Learning, 24 July 2017 – Udacity Inc – Medium


Whether you're currently enrolled in our Machine Learning Nanodegree program, already working in the field, or just pursuing a burgeoning interest in the subject, there will always be something here to inspire you! The Vancouver police department uses a machine learning-based "predictive policing" system to anticipate where property crimes are most likely to happen. As part of its Discovery Week promotion, Udacity offers never-before-seen savings on its Machine Learning and Artificial Intelligence Nanodegree programs. Apple launches a site to disseminate the results of its machine learning research; the Apple Machine Learning Journal currently discusses produces synthetic images.

Autism Test: Eye Movement May Help Diagnose Developmental Disorder

International Business Times

The University of Rochester Medical Center explained that the researchers designed their experiment so that a person's eyes would naturally overshoot the target as they tried to track the visual. As the experiment went on, a healthy person's eyes would adjust to overcome that design and make more precise movements, while people with autism did not -- their eyes kept missing the target. "The inability of the brain to adjust the size of eye movement may not only be a marker for cerebellum dysfunction, but it may also help explain the communication and social interaction deficits that many individuals with [autism spectrum disorder] experience." Doctors might be able to track eye movements to detect the developmental disorder autism, which would help them diagnose the condition earlier.

How AI and Machine Learning are Aiding Schizophrenia Research - THINK Blog


Earlier this year, IBM scientists collaborated with researchers at the University of Alberta and the IBM Alberta Centre for Advanced Studies (CAS) to publish new research regarding the use of AI and machine learning algorithms to predict instances of schizophrenia with a 74 percent accuracy. Using AI and machine learning, 'computational psychiatry' can be used to help clinicians more quickly assess – and therefore treat – patients with schizophrenia. In this schizophrenia research, we have learned that powerful technology can be used to predict the likelihood of a previously-unseen patient having schizophrenia. This kind of innovative collaboration is just one example of the work being done between IBM and the University of Alberta through the IBM Alberta Centre for Advanced Studies.

Utilizing A.I., Machine Learning to Better Understand Schizophrenia


The algorithms sifted through de-identified brain functional Magnetic Resonance Imaging (fMRI) data from an initiative called the Function Biomedical Informatics Research Network. The neuroimaging information used in this study was of 95 patients diagnosed with schizophrenia and schizoaffective disorders as well as individuals that served as a healthy control group. Essentially, the machine learning algorithms were able to explore these scans to create a model of schizophrenia that pinpoints brain connections most associated with the illness. The data also indicated that the diagnostic could distinguish between patients with schizophrenia and the control group with 74 percent accuracy, even as these images were collected from multiple sites through different means.

Neil Jacobstein on the Latest in Artificial Intelligence


Artificial Intelligence – Neil Jacobstein recently gave an information-packed talk at the Exponential Manufacturing conference on how artificial intelligence is redefining the future of work, production, supply chain, and design. At the Summit, Neil Jacobstein chairs the Artificial Intelligence and Robotics Track at Singularity University, explored how exponential technologies including artificial intelligence, additive manufacturing, exponential energy, and bio manufacturing are continually redefining the future of work, production, supply chain, and design. Hardware is a key component of the AI revolution, and Jacobstein introduces the Tensor Processing unit, that Google only recently introduced and deployed. Neil Jacobstein recently gave an information-packed talk at the Exponential Manufacturing conference on how artificial intelligence is redefining the future of work, production, supply chain, and design.

Alcohol may improve memory in social drinkers

Daily Mail

While the reason for this remains unclear, researchers suggest that alcohol may block the learning of new information, giving the brain more resources to lay down recently learned information into long-term memory. Participants watched a video of a staged theft, where a man and a woman entered a house and stole some jewellery, money and a laptop. In March, researchers from Glasgow Caledonian University and London South Bank University found that if alcohol is consumed after witnessing a crime it can protect memory from misleading information. In the study, participants watched a video of a staged theft, where a man and a woman entered a house and stole some jewellery, money and a laptop.

Game Of Thrones' Daenerys Targaryen, 'Mother Of Dragons', May Die Soon

International Business Times

Master sword fighter Syrio Forel's wisecrack in the first season of popular TV series, "Game of Thrones," made Miltos Yerolemou's short role -- as Arya Stark's sword instructor -- in the show memorable. We also know which of the characters have already died (61 of them)," the analysis published by Central European University's Center for Network Science (CNS) says. According to CNS, network science is fast emerging as a scientific discipline that examines network links encountered every day as it explains the effect of these interconnections at a larger scale. Audience's love for Jon Snow -- played by Kit Harington -- probably prompted the show makers to revive the character after he was killed by his own men at the Night's Watch.

China artificial intelligence bid seeks $59 billion industry


China aims to make the artificial intelligence industry a "new, important" driver of economic expansion by 2020, according to a development plan issued by the State Council. Policymakers want to be global leaders, with the AI industry generating more than 400 billion yuan ($59 billion) of output per year by 2025, according to an announcement from the Cabinet late Thursday. CSG Smart Science & Technology Co. climbed as much as 9.3 percent in Shenzhen before closing 3.1 percent higher, while intelligent management software developer Mesnac Co. surged 9.8 percent after hitting the 10 percent daily limit in earlier trading. The State Council directive also called for China's businesses, universities and armed forces to work more closely in developing the technology.

Why isn't IBM's Watson supercomputer making money?


A scathing report from investment bank Jefferies claims that from an earnings per share perspective "it seems unlikely to us under almost any scenario that Watson will generate meaningful earnings results over the next few years". While exact figures for Watson aren't given, Jefferies pulled together a range of information, including market research data and public filings, to build financial models predicting Watson's future prospects. "Watson services are offered on either a subscription or a pay-per-use basis and everyone can get started for free," an IBM spokesperson told WIRED. "Watson is clearly part of IBM's Strategic Imperatives, whose figures are reported," an IBM spokesperson told WIRED when quizzed on whether the supercomputer is making any money.

Machine Learning Predicts Characters Most Likely To Die In Game Of Thrones


Like, say, dodging machine-generated Game of Thrones spoilers. For this, he was able to build an "aggregated network of the realm's social system": In this network each node represents a character of the story and the weight of the link between each pair of characters symbolises the strength of their social interaction. Yes, you read that correctly, he built a social network for Game of Thrones. So, how can this be used to predict future deaths?