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These 2 books will strengthen your command of Python machine learning

#artificialintelligence

Mastering machine learning is not easy, even if you're a crack programmer. I've seen many people come from a solid background of writing software in different domains (gaming, web, multimedia, etc.) thinking that adding machine learning to their roster of skills is another walk in the park. And every single one of them has been dismayed. I see two reasons for why the challenges of machine learning are misunderstood. First, as the name suggests, machine learning is software that learns by itself as opposed to being instructed on every single rule by a developer.


How artificial intelligence arrives to health care

#artificialintelligence

Big data analytics and artificial intelligence are poised to revolutionize the field of healthcare in the coming years given the abundance of data and powerful algorithms. Currently, the U.S., China and the EU are all competing for dominance in the field, investing significant resources into human capital, infrastructure as well as into laws balancing the usability and protection of data. In the current decade, the European Commission seeks to attract €20 billion of investment per year in order to remain competitive in the global market. Artificial intelligence might evoke ideas of self-driving cars, algorithms beating the best players in chess, or a dystopic future of autonomous robots making us obsolete. Only recently, Google's AlphaGo beat the best player in the game of Go, where the possible number of moves is greater than the number of atoms in the universe.


Patients aren't being told about the AI systems advising their care

#artificialintelligence

Since February of last year, tens of thousands of patients hospitalized at one of Minnesota's largest health systems have had their discharge planning decisions informed with help from an artificial intelligence model. But few if any of those patients has any idea about the AI involved in their care. That's because frontline clinicians at M Health Fairview generally don't mention the AI whirring behind the scenes in their conversations with patients. At a growing number of prominent hospitals and clinics around the country, clinicians are turning to AI-powered decision support tools -- many of them unproven -- to help predict whether hospitalized patients are likely to develop complications or deteriorate, whether they're at risk of readmission, and whether they're likely to die soon. But these patients and their family members are often not informed about or asked to consent to the use of these tools in their care, a STAT examination has found.


Patients aren't being told about the AI systems advising their care

#artificialintelligence

Since February of last year, tens of thousands of patients hospitalized at one of Minnesota's largest health systems have had their discharge planning decisions informed with help from an artificial intelligence model. But few if any of those patients has any idea about the AI involved in their care. That's because frontline clinicians at M Health Fairview generally don't mention the AI whirring behind the scenes in their conversations with patients. At a growing number of prominent hospitals and clinics around the country, clinicians are turning to AI-powered decision support tools -- many of them unproven -- to help predict whether hospitalized patients are likely to develop complications or deteriorate, whether they're at risk of readmission, and whether they're likely to die soon. But these patients and their family members are often not informed about or asked to consent to the use of these tools in their care, a STAT examination has found.


Artificial intelligence against Diabetes and COVID-19 - GreatLearning

#artificialintelligence

Artificial Intelligence has multiple applications in the healthcare domain. We have also seen many AI solutions being developed to identify symptoms of COVID-19 among patients. Here's one such case of AI-based screening of visitors at Mumbai railway stations to identify COVID-19 symptoms. Also, the application of Artificial Intelligence in adjusting insulin dose to control glucose levels among Type I Diabetes patients. Body-screening facility "FebriEye thermal cameras" have been set up at Chhatrapati Shivaji Maharaj Terminus and Lokmanya Tilak Terminus in Mumbai to scan passengers for COVID-19 symptoms.


Aito.ai - Could predictive database queries replace machine learning models?

#artificialintelligence

Predictive queries resemble normal database queries with the exception that they provide predictions about the unknown, while the traditional database queries provide facts about the known. Here's an example of the BQL (Bayesian Query Language) query done against BayesDB/BayesLite database:


Real covidiots! People who refuse to wear a mask have lower cognitive ability, new study shows

Daily Mail - Science & tech

The term'covidiot' is a coronavirus-era slang term for someone who ignores recommendations to limit the spread of the deadly disease – and a new study reveals what makes these people dismiss the warnings. Researchers found that whether or not an individual decides to follow social distancing depends on how much information their working memory can store, which determines mental abilities such as intelligence. Following a survey of 850 Americans, the team discovered that those with more working memory capacity were more likely to comply with recommendations during the early stage of the outbreak. The findings suggest that policy makers need promote compliance behaviors, such as wearing a mask, based on individuals' general cognitive abilities to avoid effortful decisions. The coronavirus began spread across the US earlier this year and when it gained more traction, the Centers for Disease Control and Prevention (CDC) released a list of recommendations aimed at limiting the spread of the virus.


Global Big Data Conference

#artificialintelligence

One of the quickest evolving branches in computer science, AI (short for artificial intelligence) focuses on the concept of developing machines and algorithms which are able to simulate human thinking. Even though its implementations were few and far between in the recent past, it has since found its uses in many different areas. The main benefits of AI are related to its learning concept – the more data is fed to it, the more accurate it becomes. This makes it perfect for automated tasks that require precision since they can't get tired or worn out as humans can. On the other hand, its largest con is the high cost of implementation, especially for inexperienced users.


Artificial Intelligence Implementations in Web Development

#artificialintelligence

One of the quickest evolving branches in computer science, AI (short for artificial intelligence) focuses on the concept of developing machines and algorithms which are able to simulate human thinking. Even though its implementations were few and far between in the recent past, it has since found its uses in many different areas. The main benefits of AI are related to its learning concept – the more data is fed to it, the more accurate it becomes. This makes it perfect for automated tasks that require precision since they can't get tired or worn out as humans can. On the other hand, its largest con is the high cost of implementation, especially for inexperienced users.


Increasing Transparency at the National Security Commission on Artificial Intelligence

#artificialintelligence

In 2018, Congress established the National Security Commission on Artificial Intelligence (NSCAI)--a temporary, independent body tasked with reviewing the national security implications of artificial intelligence (AI). But two years later, the commission's activities remain little known to the public. Critics have charged that the commission has conducted activities of interest to the public outside of the public eye, only acknowledging that meetings occurred after the fact and offering few details on evolving commission decision-making. As one commentator remarked, "Companies or members of the public interested in learning how the Commission is studying AI are left only with the knowledge that appointed people met to discuss these very topics, did so, and are not yet releasing any information about their recommendations." That perceived lack of transparency may soon change.