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Artificial intelligence (AI) is a wide-ranging tool that allows individuals to reconsider how we can all mix data, examine information, and use the subsequent understandings to conclude. Already it is altering each way of our life. AIs application in various sectors has been applied drastically. They address problems in the expansions and provide approvals for receiving the most from artificial intelligence while still caring for significant human values.

Artificial intelligence (AI) is changing our way of life, meaning to impersonate human insight by a PC/machine in settling different issues. At first, AI was intended to defeat more manageable issues like dominating a chess match, language recognition, and picture recovery. With the innovative headways, AI is getting progressively sophisticated at doing what people do, yet more effectively, quickly, and at a lower cost in tackling complex issues. Artificial intelligence is paying attention in combating the current pandemic. Projects directly is associated to pharmacology, hospital and medical care, or stretch inspection to decrease infection have seen a critical supporter in data science to make development and bring positive results.

The pandemic taken place due to COVID-19 is the initial worldwide public health disaster in the 21st century. At present, numerous AI-driven projects depended on data science big data or machine learning is being used through many wide varieties of areas to envisage, clarify and handle the dissimilar situations that take place due to health disaster. AI over here is playing an essential role in supporting and aiding to make important decisions.

AI has been used and delivered in getting results in three fields in the situation of the epidemic that is in the investigation of virus study and the growth of medicines and injections. The other one is in the administration of resources and services at healthcare places. While the last is in examining data to sustenance public policy choices meant at handling the disaster, like the quarantine procedures.

Below are a few methods where AI technology is used to help restrain the disturbing effect of the virus.

Currently, the data needed for measuring a persons scientific danger from constricting an assumed virus are not effortlessly retrieved. Administrations surely can increase nationwide fitness information congregation by making or passing many complete electric medical records. Nonetheless, the worth of such might be less as it will be time consuming to arise among the past data in medicinal archives and the impact on a victim. AI gives the best method that can make as well as share a prediction model from an original outbreak. A dataset with several victims is huge to allow a few levels of the modified forecast.

The earlier interferences are taken to stalk the current of an epidemic, the additional successful they are at decelerating and discontinuing the spread. This is why the initial examination of a crisis in the expansion is very much needed. Many AI solutions companies are energetically using AI to forecast outbursts of infectious viruses.

Even the geolocation and facial recognition technology is being used to track people who might contact COVID -19 patients. With AI tools, one could even use to trail amenability with quarantine and self-isolation orders. AI potential has always been very clear during the crisis. At the time of the pandemic, when time plays an important part, AI can help as an important tool in assisting the researchers excavate understandings from large bands of data.

Also Read: How Smart Cities are Fighting the COVID-19 Pandemic

Researchers are making use of AI to assist them to mine data for perceptions. This similar method is sued even previously to recognize a possible use of circumstance for magnesium in the handling of a recurrent throbbing headache. Thus, artificial intelligence procedures permit us to identify and modify medical care and follow-up strategies for the best outcomes.

Although AI has not totally progressed to overcome an epidemic, nonetheless, the part of AI is markedly huge at the time of COVID19 as compared to the one that was initially. It is correctly applied as a tool perfecting humanoid intelligence.

To summarize, the entire nation is on the point of transforming numerous sectors during the pandemic with the help of data analytics and artificial intelligence. There already are important dispositions in the backing, nationwide security, fitness care, transport, and so on that have changed decision-making, commercial prototypes, danger extenuation, and organization performance. These expansions are making sizeable social and economic advantages.

Also Read: COVID-19: When a crisis becomes a catalyst for change

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How artificial intelligence is transforming the world in the current pandemic situation? - Geospatial World

A PwC study in 2017 estimated the world would gain $15.7 trillion by 2030 if artificial intelligence (AI) was adopted across nations. The study said that AI would first lead to productivity enhancement, and a major portion of gains would accrue from consumer-side effects. China, it had said, could see its GDP rising by around a fourth as it was using AI more aggressively. Although the study did not estimate how much India would gain from using AI, new research by Icrier along with Nasscom and Google shows that even a marginal increase in artificial intelligence adoption may add 2.5% to GDP in the immediate term. Moreover, it highlights that if the government spends the Rs 7,000 crore it had envisaged for the national AI programme, GDP could get boosted by as much as $86 billion. The way Icrier sees it, as AI becomes what it calls a general purpose technologylike the internetits impact rises; essentially, then, the pace of Indias digitisation drive will determine how fast AI is adopted.

To understand how fast the adoption of AI can take place and its impact on total factor productivity, Icrier studied 1,553 firms that have some software investment. What it found was that there was a huge gap in the use of AI, suggesting a large untapped potential. AI-intensity was defined as the ratio of software investment to total sales, and the study found that, for instance, in the case of agriculture, while the average AI intensity is 0.001, the maximum intensity was 20 times as much. For electrical and optical equipment manufacturing, the difference between the average and the top in the industry was 145-times; it was 742 in the case of trade and in the case of services, the average intensity was 0.159, while the maximum intensity was 110.

The report, however, argues that businesses alone wont be able to push AI, the government will have to play a bigger role, by setting up a nodal AI agency to push for AI-adoption and also drive business, government and academia partnerships. Another suggestion is to initiate large-scale skill development programmes to get the workforce ready for AI-adoption. What is worrying, however, is the slow pace of digital adoption so far, though the pandemic has helped speed up things a big; both the education and health sector, for instance, are likely to see faster adoption of AI techniques. A related problem is that of cybersecurity where India needs both a national strategy and a governance structure that is more well-defined.

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The AI-boost: Using more artificial intelligence will boost GDP growth - The Financial Express

AI applied to tumor microscopy images detects patterns of 167 different mutations and predicts patient survival in 28 cancer types

Researchers at EMBLs European Bioinformatics Institute (EMBL-EBI), the Wellcome Sanger Institute, Addenbrookes Hospital in Cambridge, UK, and collaborators have developed an artificial intelligence (AI) algorithm that uses computer vision to analyze tissue samples from cancer patients. They have shown that the algorithm can distinguish between healthy and cancerous tissues, and can also identify patterns of more than 160 DNA and thousands of RNA changes in tumors. The study, published in Nature Cancer, highlights the potential of AI for improving cancer diagnosis, prognosis, and treatment.

Cancer diagnosis and prognosis are largely based on two main approaches. In one, histopathologists examine the appearance of cancer tissue under the microscope. In the other, cancer geneticists, analyze the changes that occur in the genetic code of cancer cells. Both approaches are essential to understand and treat cancer, but they are rarely used together.

Clinicians use microscopy slides for cancer diagnosis all the time. However, the full potential of these slides hasnt been unlocked yet. As computer vision advances, we can analyze digital images of these slides to understand what happens at a molecular level, says Yu Fu, Postdoctoral Fellow in the Gerstung Group at EMBL-EBI.

Computer vision algorithms are a form of artificial intelligence that can recognize certain features in images. Fu and colleagues repurposed such an algorithm developed by Google originally used to classify everyday objects such as lemons, sunglasses and radiators to distinguish various cancer types from healthy tissue. They showed that this algorithm can also be used to predict survival and even patterns of DNA and RNA changes from images of tumor tissue.

Teaching algorithms to detect molecular changes

Previous studies have used similar methods to analyze images from single or a few cancer types with selected molecular alterations. However, Fu and colleagues generalized the approach on an unprecedented scale: they trained the algorithm with more than 17 000 images from 28 cancer types collected for The Cancer Genome Atlas, and studied all known genomic alterations.

What is quite remarkable is that our algorithm can automatically link the histological appearance of almost any tumor with a very broad set of molecular characteristics, and with patient survival, explains Moritz Gerstung, Group Leader at EMBL-EBI.

Overall, their algorithm was capable of detecting patterns of 167 different mutations and thousands of gene activity changes. These findings show in detail how genetic mutations alter the appearance of tumor cells and tissues.

Another research group has independently validated these results with a similar AI algorithm applied to images from eight cancer types. Their study was published in the same issue of Nature Cancer.

A potential tool for personalized medicine

The integration of molecular and histopathological data provides a clearer picture of a tumors profile. Detecting the molecular features, cell composition, and survival associated with individual tumors would help clinicians tailor appropriate treatments to their patients needs.

From a clinicians point of view, these findings are incredibly exciting. Our work shows how artificial intelligence could be used in clinical practice, explains Luiza Moore, Clinician Scientist and Pathologist at the Wellcome Sanger Institute and Addenbrookes Hospital. While the number of cancer cases is increasing worldwide, the number of pathologists is declining. At the same time, we strive to move away from the one size fits all approach and into personalized medicine. A combination of digital pathology and artificial intelligence can potentially alleviate those pressures and enhance our practice and patient care.

Sequencing technologies have propelled genomics to the forefront of cancer research, yet these technologies remain inaccessible to most clinics around the world. A possible alternative to direct sequencing would be to use AI to emulate a genomic analysis using data that is cheaper to collect, like microscopy slides.

Getting all that information from standard tumor images in a completely automatic manner is revolutionary, says Alexander Jung, PhD student at EMBL-EBI. This study shows what might be possible in the coming years, but these algorithms will have to be refined before clinical implementation.

Source article:

FU, Y., et al. (2020). Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis, Nature Cancer. Published online 27 07; DOI: 10.1038/s43018-020-0085-8

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Industry News: Artificial intelligence finds patterns of mutations and survival in tumor images - SelectScience

But knowing what a difference their support can make (home court advantage, anyone?) the NBA is proposing a few solutions: a tap-to-cheer app and video technology that will teleport their faces court-side from the comfort of their homes.

"It's obviously very different for the players and it's different for the fans watching at home. I mean, in this sport -- like a lot of others -- there's that home court advantage, that six-man. It's the roar of the crowd, the boos of the crowd," said NBA commissioner Adam Silver Wednesday on CNN with Wolf Blitzer. "We are trying to replicate that to a certain extent without piping in obvious crowd noise."

It's still unclear what kind of difference this technology will make in the overall atmosphere of a sporting match, though.

Not every attempt has been successful, though.

In South Korea, FC Seoul was fined 100 million Korean won (around $81,000) after being accused of placing sex dolls in its stands to add to the atmosphere during a closed match.

CNN's Jack Guy contributed to this report.

See more here:
The NBA will use artificial intelligence and a tap-to-cheer app feature to help fans stuck at home get in the game - CNN

File photo of Tesla CEO Elon Musk. (Image credits: Reuters)

Tesla and SpaceX CEO Elon Musk has claimed that Artificial Intelligence will be 'vastly smarter' than any human and would overtake us by 2025.

"We are headed toward a situation where AI is vastly smarter than humans. I think that time frame is less than five years from now. But that doesn't mean that everything goes to hell in five years. It just means that things get unstable or weird," Musk said in an interview with New York Times over the weekend.

This is not the first time that Musk has shown concern related to AI. Back in 2016, Musk said that humans risk being treated like house pets by AI unless technology is developed that can connect brains to computers.

He even described AI as an 'existential threat' to humanity.

"I think we should be very careful about artificial intelligence. If I were to guess like what our biggest existential threat is, it's probably that,'' he said.

However, Musk helped found the artificial intelligence research lab OpenAI in 2015 with the goal of developing artificial general intelligence (AGI) that can learn and master several disciplines.

Recently, OpenAI released its first commercial product, a programme to make use of a text-generation tool that it once called too dangerous.

It has the potential to spare people from writing long texts. Once an application is developed on the basis of the programme, all they need to give is a prompt.

OpenAI earlier desisted from revealing more about the software fearing bad actors might misuse it for producing misleading articles, impersonate others or even automate phishing content.

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Elon Musk Thinks that Artificial Intelligence Will Be 'Vastly Smarter' Than Humans in 5 Years - News18