The Need for AI Governance in Healthcare CDOTrends

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New applications of artificial intelligence (AI) are emerging at a very fast pace, particularly in the healthcare industry. The industry is full of technology vendors, data science companies, researchers and innovators focused on creating predictive and prescriptive algorithms for improved diagnosis and treatment recommendations. By 2021, Gartner predicts that 75% of healthcare delivery organizations (HDOs) will have invested in an AI capability that is explicitly improving either operational performance or clinical outcomes. The more activity there is around using AI in healthcare, the greater the need for HDOs to establish AI governance. AI governance is necessary, especially for clinical applications of the technology.


The Apple Card algo issue: What you need to know about A.I. in everyday life

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When tech entrepreneur David Heinmeier Hansson recently took to Twitter saying the Apple Card gave him a credit limit that was 20 times higher than his wife's, despite the fact that she had a higher credit score, it may have been the first major headline about algorithmic bias you read in your everyday life. It was not the first -- there have been major stories about potential algorithmic bias in child care and insurance -- and it won't be the last. The chief technology officer of project management software firm Basecamp, Heinmeier was not the only tech figure speaking out about algorithmic bias and the Apple Card. In fact, Apple's own co-founder Steve Wozniak had a similar experience. Presidential candidate Elizabeth Warren even got in on the action, bashing Apple and Goldman, and regulators said they are launching a probe.


AI and Medical Diagnosis

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In the golden age of Artificial Intelligence, healthcare is the new frontier of research and development. Surgeons are routinely using robotic assists to operate with less invasiveness and more precision. Gene sequencing and gene editing aided by AI is transforming the way scientists obtain cures for diseases. But, most notably, research is underway to allow AI to transform the way doctors diagnose patients. You have symptoms of a cold.


'Halo: Reach' comes to PC and Xbox One on Dec. 3 as part of 'The Master Chief Collection'

USATODAY - Tech Top Stories

The Master Chief Collection, enhanced versions of the popular Halo series of Xbox video game, is finally arriving on PCs. "Halo: Reach," a prequel to the original 2001 "Halo: Combat Evolved," a game that helped drive the success of the original Xbox console, will be released Dec. 3 for PCs and Xbox One. It can be purchased as part of "Halo: The Master Chief Collection" ($39.99) or individually for $9.99 on PCs or Xbox One. The game is also available on Xbox Game Pass (special offer of first three months for $1, then $4.99 monthly for PCs and $9.99-up for Xbox One). "Halo: Reach" will be the fifth game in the Halo series to be optimized for Xbox One and improved PCs with up to 4K Ultra HD video and support for high dynamic range (HDR) for improved contrast, colors and details.


Deploy Your Machine Learning Model as a REST API

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Now you're ready to open the app.py file and do some imports. You'll need the os module, a couple of things from Flask and Flask-RESTful, the model training script created 10 seconds ago, and the joblib to load in the trained model: Now you should make an instance of Flask and Api from Flask-RESTful. The next thing to do is to check whether the model is already trained or not. Now you'll need to declare a class for making predictions. Flask-RESTful uses this coding convention, so your class will need to inherit from the Flask-RESTful Resource module.


Deploy Your Machine Learning Model as a REST API

#artificialintelligence

Now you're ready to open the app.py file and do some imports. You'll need the os module, a couple of things from Flask and Flask-RESTful, the model training script created 10 seconds ago, and the joblib to load in the trained model: Now you should make an instance of Flask and Api from Flask-RESTful. The next thing to do is to check whether the model is already trained or not. Now you'll need to declare a class for making predictions. Flask-RESTful uses this coding convention, so your class will need to inherit from the Flask-RESTful Resource module.


News - Research in Germany

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Environmentally benign methods for the industrial production of chemicals are urgently needed. LMU researchers recently described such a procedure for the synthesis of formaldehyde, and have now improved it with the aid of machine learning. Formaldehyde is one of the most important feedstocks employed in the chemical industry, and serves as the point of departure for the synthesis of many more complex chemical products. Industrial production of formaldehyde is currently based on a large-scale procedure which consumes fossil fuels and requires a high energy input. More efficient and more sustainable modes of synthesis are therefore urgently needed, which could make a significant contribution to the mitigation of climate.


Elon Musk Says Putting AI Chip in Your Brain Will Be as Simple as Lasik

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Elon Musk's Neuralink has been on a hiring spree since summer. Tesla and SpaceX CEO Elon Musk doesn't often publicly talk about his low-profile side hustle at biotech startup Neuralink. But when he does, the news is usually far more exiting than any of his updates on electric cars or rockets. In July, Neuralink published a white paper about an implantable brain chip it had been working on, which Musk said would help "merge biological intelligence with machine intelligence." This week, speaking on the Artificial Intelligence podcast hosted by MIT research scientist Lex Fridman, Musk shared a more detailed explanation of how things are unfolding at Neuralink and his ultimate vision for the sci-fi-sounding device that's in the making.


UiPath Layoffs Have Little To Do With The RPA Market

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UiPath has reduced its workforce by several hundred employees.[i] The business has grown at an incredible pace, as have several other providers such as Automation Anywhere. Overall, there is nothing we see that indicates a flattening or slowing of robotic process automation (RPA's) growth. The layoffs have more to do with the challenges of scaling an emerging company and subtle shifts in the market. Here's our view: Success for emerging companies depends on getting A players in the right roles.


Artificial Intelligence Innovations in APAC Future of Work Cognizant

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These days, the words artificial intelligence (AI) and China are almost synonymous. In fact, any media or business circle discussions regarding AI would seem incomplete without a mention of China, and it's no secret that the Chinese government and Chinese tech companies continue to invest heavily in building AI-related capabilities as part of their goal to make China a global AI leader. China is undeniably well on its way to becoming a world leader of the AI age. However, in the midst of their excitement over China, many global leaders are underestimating the potential for AI adoption that the rest of the Asia Pacific has to offer. In my recent report, I noted that almost every country and every industry in the Asia Pacific region is interested in becoming AI-first.