Information Technology


"AI Clinician" Makes Treatment Plans for Patients With Sepsis

IEEE Spectrum Robotics Channel

Most experiments with artificial intelligence in medicine thus far have worked on the diagnostic side. AI systems have used computer vision to examine images like X-rays or pathology slides, and they have combed through data in electronic medical records to spot subtle patterns that humans can miss. Just last week, IEEE Spectrum reported on hospitals that are trying out AI systems that identify patients with the first signs of sepsis, a life-threatening condition where the body responds to infection with widespread inflammation, which can lead to organ failure. Sepsis is the third leading cause of death worldwide, and the primary cause of death in hospitals. But the technology that goes by the name AI Clinician, described today in a paper in Nature Medicine, doesn't diagnose--it makes decisions.


Machine Learning Fun and Easy - YouTube

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Welcome to the Fun and Easy Machine learning Course in Python and Keras. Are you Intrigued by the field of Machine Learning? Then this course is for you! We will take you on an adventure into the amazing of field Machine Learning. Each section consists of fun and intriguing white board explanations with regards to important concepts in Machine learning as well as practical python labs which you will enhance your comprehension of this vast yet lucrative sub-field of Data Science.


Software Engineer (NLP) at Mendelian Health

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Mendelian is helping doctors diagnose rare genetic diseases faster. We are looking for an experienced Software Engineer passionate about NLP (natural language processing) who can help us design and deploy production biomedical text mining techniques and help us grow our Spark, Docker, Tensor Flow, Kubernetes infrastructure, as well as exploring and implementing new technologies and frameworks. Get in touch if you want to play a key role in a high-impact growing startup -- and if you are cool with building stuff that save people's lives. We built an online medical search engine supporting physicians in identifying genes that can explain certain rare conditions. Rare diseases (all 7,000 known types combined) affect over 350m people (more than cancer!) and take on average 7 years to diagnose in clinics.


Global Bigdata Conference

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Synthetic Minds, which aims to build safer blockchain code, today announced it has raised $5.5 million in a new round of funding. The San Francisco startup is a graduate of the most recent summer class from the Y Combinator accelerator. The money came from Khosla Ventures and Pantera Capital (a cryptocurrency-focused fund). This funding comes on the heels of investment from Y Combinator. Synthetic Minds' core technology is called program synthesis.


Variational Autoencoders Explained – Towards Data Science

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If such a model is trained on natural looking images, it should assign a high probability value to an image of a lion. An image of random gibberish on the other hand should be assigned a low probability value. The VAE model can also sample examples from the learned PDF, which is the coolest part, since it'll be able to generate new examples that look similar to the original dataset! The input to the model is an image in a 28 28 dimensional space (ℝ[28 28]). The model should estimate a high probability value if the input looks like a digit.


Microsoft Blends IoT And Edge Computing With AI To Change The Game Of Cricket

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Spektacom, a sports tech startup founded by Anil Kumble, one of the most accomplished cricketers in India, partnered with Microsoft to bring cutting-edge technology to the game of cricket. Spektacom built a platform that includes a 5-gram sticker that attaches itself to the cricket bat, a stump box that acts as an IoT gateway, and AI-powered analytics to deliver insights on the batting style of a batsman. The data collected in the cloud is instantly run through a machine learning model that assesses the quality of a shot. Anil officially calls the IoT-enabled bat as a power bat, which doesn't deviate from the specifications of a standard cricket bat. The technology behind the power bat is fascinating.


Farmers Insurance Accelerates Its Impact with AI – MIT Initiative on the Digital Economy – Medium

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Insurance, which is an industry made up of data, transactions, and decisions, is one of the industries that is most likely to be affected by artificial intelligence (AI). Farmers Insurance, the California-based insurer, intends to apply the technology aggressively to its business. AI projects have proliferated around the company over the past few years, and now its leaders are viewing AI as an enterprise capability and are organizing to allow for greater impact. AI is being used in a wide variety of use cases at Farmers. A recent Wall Street Journal article, for example, described the use of AI-based image recognition in the automobile insurance claims process at the company.


The Next Step in the Evolution of Robotics and Artificial Intelligence - BlockDelta

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When thinking about robots and artificial intelligence (AI) most of us will envision the archetypical images of Star Wars legends R2D2 and C3PO or my personal favourite childhood bad-ass the Terminator. While science fiction literature and movies have provided a stage for robots to display their awesome potential, they also often paint a picture of a dystopian world in which robots become self-aware beings, rebelling against and ultimately suppressing mankind. I wouldn't be surprised if a lot of people are actually quite anxious about robots taking over the world in the future. Luckily this not the case (yet) and are robots nowadays used for carrying out all kind of routine or complex tasks. Currently, robots can be used to perform various tasks, such as: surgery, accompany the elderly, diffuse bombs, and space exploration.


Christie's, Trying to Be Relevant, Puts AI Art on the Block

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With their eyes trained on a gilded frame containing a smeared, half-formed image of a distinguished gentleman, a small group of potential bidders gathered Friday night over cocktails at Christie's New York and heard the pitch: here was the first portrait generated by an algorithm to come up for auction. The portrait, produced by artifical intelligence, hung on the wall opposite an Andy Warhol print and just to the right of a bronze work by Roy Lichtenstein. There were some smiles and at least one frown. Two people snapped cellphone pictures of the work, which looked as though someone had taken a sponge to a 17th-century oil portrait. The arrival of what some call the infant stages of the next great art movement at one of the world's leading auction houses was greeted nonchalantly, with a nod of understanding and a sip of mezcal margarita.


Loud ML 1.5 technology roadmap

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Do you want to see more videos on the channel? Let us know what you think, and what you need! 3. Overview Loud ML 1.5 feature set in the roadmap DISCLAIMER: The following information is being shared in order to outline some of our current product plans, but like everything else in life, even the best laid plans get put to rest. We are hopeful that the following can shed some light on our roadmap, but it is important to understand that it is being shared for INFORMATIONAL PURPOSES ONLY, and not as a binding commitment. Please do not rely on this information in making purchasing decisions because ultimately, the development, release, and timing of any products, features or functionality remains at our sole discretion, and is subject to change. Old training data is lost.