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How COVID-19 sparked a revolution in healthcare machine learning and AI – IAM Network

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In the past six months, COVID-19 has evolved from a speck on the world radar to a full-blown pandemic. While it has claimed the lives of many and shed a massive spotlight on some of the major issues in healthcare, it has also served as a catalyst for innovation. As with nearly every element of the healthcare system, applications of machine learning and artificial intelligence (AI) have also been transformed by the pandemic. Although the power of machine learning and AI was being put to significant use prior to the Coronavirus outbreak, there is now increased pressure to understand the underlying patterns to help us prepare for any epidemic that might hit the world in the future. How have AI interventions fared so far?


Hyundai Robotics secures $42 million investment from KT – IAM Network

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MLflow Project Joins the Linux Foundation » ADMIN Magazine

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The platform was created in response to the complicated process of machine learning model development. Unlike traditional software development, machine learning models must not only track code versions, but versions of data sets, model parameters, and algorithms. Because of this, the variables that must be tracked and managed can grow exponentially. MLflow prevents the process from overwhelming scientists, educators, developers, and other users by providing a platform to fully manage end-to-end machine learning development lifecycle, which includes everything from data prep, deployment, experiment tracking, creating reproducible runs, model sharing, and collaboration. Matei Zaharia, the original creator of Apache Spark and creator of MLflow, said of his platform, "MLflow has become the open source standard for machine learning platforms because of the community of contributors, which consists of hundreds of engineers from over a hundred companies. " Zaharia concludes with, "Machine learning is transforming all major industries and driving billions of decisions in retail, finance, and health care. Our move to contribute MLflow to the Linux Foundation is an invitation to the machine learning community to incorporate the best practices for ML engineering into a standard platform that is open, collaborative, and end-to-end."


Artist uses AI to reveal what historical figures really looked like

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A Dutch artist is using modern technology to create realistic photo-style portraits of famous figures only depicted in paint and sculpture. Bas Uterwijk, from Amsterdam, explained that he wanted to see if he could create realistic digital renderings of key faces in history, including Vincent Van Gogh and Napoleon. He also turned his talents to statues like Michelangelo's David and the Statue of Liberty. Bas uses Artbreeder, a'deep-learning' software which can create life-like images from scratch or based on a composite of different portraits. Bas Uterwijk, from Amsterdam, can create likenesses of famous historical figures using'deep-learning' technology.


IBM Research at ACL 2020

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The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), the premiere annual conference on AI and language, takes place July 5-10. As is the case with most events currently, ACL will be virtual this year due to COVID-19. At IBM Research AI, we’re excited to share with you — wherever you might be in the world — all the work we’ll have at ACL 2020 designed to advance AI for the enterprise. The ability of AI to master language has been one of IBM Research AI’s key areas of focus for years. The field of Natural Language Processing (NLP) is constantly evolving in efforts to better outfit AI with the ability to communicate similarly to how us humans can. It’s an incredibly challenging area of research. An AI must identify, decipher, and navigate through natural language barriers — tasks like slang, idioms, acronyms, different languages and extracting meaning from multi-format documents, to name a few. To tackle these challenges, IBM released earlier this year a new, four-part mastering language taxonomy…


Use Cases of Artificial Intelligence in Finance Industry

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Artificial Intelligence in today's digital world is playing the role of a real game-changer. This technology is changing the working of each and every industry at a great pace. Recently Artificial Intelligence has shaken its hand with the finance industry. The AI systems can examine and trace millions of data points. They also find the trending patterns which people are missing. Better conversational tress is created with a combination of AI and Natural Language Processing.


Startup Tenstorrent shows AI is changing computing and vice versa

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That year, numerous experienced computer chip designers set out on their own to design novel kinds of parts to improve the performance of artificial intelligence. It's taken a few years, but the world is finally seeing what those young hopefuls have been working on. The new chips coming out suggest, as ZDNet has reported in past, that AI is totally changing the nature of computing. It also suggests that changes in computing are going to have an effect on how artificial intelligence programs, such as deep learning neural networks, are designed. Case in point, startup Tenstorrent, founded in 2016 and headquartered in Toronto, Canada, on Thursday unveiled its first chip, "Grayskull," at a microprocessor conference run by the legendary computer chip analysis firm The Linley Group.


MIT pulls massive AI dataset over racist, misogynistic content

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The Massachusetts Institute of Technology permanently took down its 80 Million Tiny Images dataset--a popular image database used to train machine learning systems to identify people and objects in an environment--because it used a range of racist, misogynistic, and other offensive terms to label photos. In a letter published Monday to MIT's CSAIL website, the three creators of the huge dataset, Antonio Torralba, Rob Fergus, and Bill Freeman, apologized and said they had decided to take the dataset offline. "It has been brought to our attention that the Tiny Images dataset contains some derogatory terms as categories and offensive images. This was a consequence of the automated data collection procedure that relied on nouns from WordNet. We are greatly concerned by this and apologize to those who may have been affected," they wrote in the letter.


5G Was Going to Unite the World--Instead It's Tearing Us Apart

WIRED

The world came together to build 5G. Now the next-generation wireless technology is pulling the world apart. The latest version of the 5G technical specifications, expected Friday, adds features for connecting autonomous cars, intelligent factories, and internet-of-things devices to crazy-fast 5G networks. The blueprints reflect a global effort to develop the technology, with contributions from more than a dozen companies from Europe, the US, and Asia. And yet, 5G is also pulling nations apart--with the US and China anchoring the tug-of-war.


Building a Conversational AI Chatbot With AWS Lambda Function and Amazon EFS

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Amazon announced the general availability of AWS Lambda support for Amazon Elastic File System. Amazon EFS is a fully managed, elastic, shared file system and designed to be consumed by other AWS services. With the release of Amazon EFS for Lambda, we can now easily share data across function invocations. It also opens new capabilities, such as building/importing large libraries and machine learning models directly into Lambda functions. Let's go over how to build a serverless conversational AI chatbot using Lambda function and EFS.