Today, Amazon Web Services (AWS) announced that Amazon Textract, a machine learning service that quickly and easily extracts text and data from forms and tables in scanned documents, is now eligible for healthcare and life science workloads that require HIPAA compliance. This launch builds upon the existing portfolio of AWS artificial intelligence services that are HIPAA-eligible, including Amazon Translate, Amazon Comprehend, Amazon Transcribe, Amazon Polly, Amazon SageMaker and Amazon Rekognition – that help customers retrieve data from documents more accurately to reach better healthcare decisions, operate more efficiently, and help identify medical and scientific trends. Critical healthcare information often lies within documents such as medical records and forms. Healthcare and life science organizations need to access data that is locked inside those documents in order to fulfil medical claims, streamline administrative processes, and process electronic health records. They routinely extract text and data from documents through manual data entry or simple optical character recognition (OCR) software.

As a recent graduate of the Flatiron School's Data Science Bootcamp, I've been inundated with advice on how to ace technical interviews. A soft skill that keeps coming to the forefront is the ability to explain complex machine learning algorithms to a non-technical person. This series of posts is me sharing with the world how I would explain all the machine learning topics I come across on a regular basis...to my grandma. Some get a bit in-depth, others less so, but all I believe are useful to a non-Data Scientist. In the upcoming parts of this series, I'll be going over: "a model is like a Vending Machine, which given an input (money), will give you some output (a soda can maybe) . . . An algorithm is what is used to train a model, all the decisions a model is supposed to take based on the given input, to give an expected output. For example, an algorithm will decide based on the dollar value of the money given, and the product you chose, whether the money is enough or not, how much balance you are supposed to get [back], and so on."

ORLANDO, Fla.--(BUSINESS WIRE)--HIMSS19 Booth 3679--Change Healthcare today announced Claims Lifecycle Artificial Intelligence, a new capability being integrated into the company's Intelligent Healthcare NetworkTM and financial solutions, to help providers and payers optimize the entire claims processing lifecycle. This Change Healthcare Claims Lifecycle AI service is trained on more than 500 million service lines making up over 205 million unique claims that touch $268 billion in charges. Solutions and services across the Change Healthcare portfolio are using artificial intelligence (AI) to help customers with improving payment accuracy, reducing denials, enhancing payment forecasting, and reducing administrative overhead. "Our strategy is to bring AI capabilities to the entire healthcare financial and administrative ecosystem, and claims lifecycle management is the logical place to start," said Nick Giannasi, Ph.D., chief AI officer, Change Healthcare. "We're using AI to bend the cost/quality curve of healthcare. By applying AI to our Intelligent Healthcare Network data, combined with our pervasive presence in payer and provider workflows, we are delivering new health IT solutions that help customers address the financial pressures from healthcare costs in ways not previously possible. Applying AI will transform the claims lifecycle process."

The gymnastics world championships in Germany, the biggest gymnastics meet outside the Olympics, for the first time used an artificial intelligence system to evaluate athletes' performance. The gymnastics world championships in Germany, the biggest gymnastics meet outside the Olympics, for the first time used an artificial intelligence (AI) system to evaluate athletes' performance by measuring and analyzing skeletal positions, speed, and angles via three-dimensional laser sensors. International Gymnastics Federation president Morinari Watanabe envisions such robot judges eliminating human error and subjectivity from gymnastics contests; "this is a step toward the challenge of justice through technology," Watanabe said. At the world championships, the AI system was a means for human judges to confirm scores when gymnasts either formally contested their score, or the score widely deviated between judges. International Gymnastics Federation sports director Steve Butcher said all athlete information collected at the competition would be discarded at a predetermined expiration date, to address privacy concerns.

Deep neural networks excel at image recognition, but are easily hacked. A self-driving car approaches a stop sign, but instead of slowing down, it accelerates into the busy intersection. An accident report later reveals that four small rectangles had been stuck to the face of the sign. These fooled the car's onboard artificial intelligence (AI) into misreading the word'stop' as'speed limit 45'. Such an event hasn't actually happened, but the potential for sabotaging AI is very real.

These and many other new insights are from Gartner Hype Cycle For AI, 2019 published earlier this year and summarised in the recent Gartner blog post, Top Trends on the Gartner Hype Cycle for Artificial Intelligence, 2019. Gartner's definition of Hype Cycles includes five phases of a technology's lifecycle and is explained here. Gartner's latest Hype Cycle for AI reflects the growing popularity of AutoML, intelligent applications, AI platform as a service or AI cloud services as enterprises ramp up their adoption of AI. Gartner advises its clients to consider including speech recognition on their short-term AI technology roadmaps. Gartner observes, unlike other technologies within the natural-language processing area, speech to text (and text to speech) is a stand-alone commodity where its modules can be plugged into a variety of natural-language workflows.

It's no secret that Disney films of yore had been plagued with racism and sexism. The company's movies have gotten more progressive in recent years --see Brave, Frozen, and Moana--but there's still lots more work to do. And now, Disney has pledged to tackle diversity in storytelling and gender bias with a little help from AI. The company has teamed up with Geena Davis and her Institute on Gender in Media to use GD-IQ: Spellcheck for Bias (Geena Davis Inclusion Quotient), a tool that analyzes TV and movie scripts to track gender and other biases. The software, codeveloped by the University of Southern California Viterbi School of Engineering, evaluates the number of male and female characters, how many characters are part of the LGBTQIA community, how many people of color are included, and how many disabled people are represented.

Masten Space Systems announced a new partnership with MSBAI to integrate cognitive artificial intelligence capabilities for autonomous space flight applications. Sean Mahoney, CEO of Masten Space Systems Inc. said, "Masten Space Systems has long been a pioneer in lean ground crews and CONOPS for space launch and landing. We're excited about our new partnership with MSBAI and what we can do with GURU to take us to the next level of pioneering spacecraft operations with minimal terrestrial crews, for lunar delivery missions, and for deep space robotic missions." ABOUT MASTEN SPACE SYSTEMS Masten Space Systems is a leader in vertical landing technology and EDL test beds with missions to the moon starting in 2021. ABOUT MSBAI MSBAI is solving the reason why 92% of product developers & manufacturers don't use high performance computing in engineering -- with GURU, The Ultimate Engineering AI Assistant!

ACCRA - Artificial intelligence took center stage as African female technology experts met at Women in Tech Week in Ghana to promote women's involvement in the field. When Lily Edinam Botsyoe was studying computer science at a university in Ghana, students wrote programming codes on a whiteboard because there were not enough computers. This made it difficult to apply the coding skills they were learning, she says, and the problem continues today. "We have students coming out of schools having the theoretical background -- which is very important because you can't actually appreciate something practical if you don't have the theory. But, the industry-ready skills is lacking because they didn't have the hands-on experience," Botsyoe said.

Boris Johnson's most senior aide, Dominic Cummings, is facing conflict of interest accusations over a consultancy role he undertook for a government-endorsed healthcare startup that is in position to receive a share of a new £250m flagship public fund. Cummings advised Babylon Health, a controversial artificial intelligence (AI) firm working within the NHS, on its communications strategy and its senior recruitment, an investigation by the Guardian and the Bureau of Investigative Journalism can reveal. A GP app developed by the company was later backed publicly on multiple occasions by the health secretary, Matt Hancock. The former Vote Leave campaign director's formal role with Babylon concluded in July last year but he continued to advise the firm about recruitment until September 2018 – the same month Hancock visited the firm and told staff he wanted the NHS to help the company expand. In August this year, shortly after Boris Johnson entered No 10 with Cummings as his top adviser, Downing Street and the Department of Health announced a £250m fund to boost the use of AI in the NHS by using automated systems for diagnoses or data analysis.