Artificial Intelligence News: AI will add $15 trillion to the global economy (according to Gartner) by 2030. This fast-moving, technological breakthrough is powering the next industrial revolution and will disrupt the global economy in unforeseen ways. The DailyAlts AI channel tracks the latest developments, capital flows, technological advancements, and other influences that will transform the 2020s.
The theme of the conference is “Intelligent Connectivity, Indivisible Community.” Researchers, entrepreneurs, and officials from across the globe are discussing the emerging trends in artificial intelligence.
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Scientists have been grappling with the complexities surrounding the development of a thermonuclear fusion reactor for decades. A successfully working fusion reactor could provide nearly unlimited energy. Nuclear fusion occurs naturally in the sun, but the problem is reproducing the process in the dramatically different conditions of temperature and gravity here on earth. But machine learning may change all that.
When Google conducted field trials of its AI system for diabetic retinopathy in Thailand, the results were an eye-opener. The first study of its kind, it evaluated how nurses use an AI system to screen patients for the disease. While lab results were highly accurate, the system encountered a lot of difficulties in real-life testing.
China’s military is developing 6G internet to power an AI army of the future. Mobile 6G (sixth generation) technology is 10X faster than 5G, which in turn has 10 times the transmission speeds from the widely used 4G. The 6G technology is far superior to 5G and is said to have immense potential for military applications, especially AI-related. Since November, China has two teams working on 6G and is spending billions to make its military a cyber-force.
Researchers at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) have found a more environmentally friendly way to train and operate AI models. By improving computational efficiency, they claim they can significantly reduce the amount of carbon emissions from that AI.
Tesla’s major advantage over other self-driving vehicles is hiding in plain sight (pardon the pun).
Tesla (NASDAQ: TSLA) uses a vision-based approach that combines its cars’ suite of cameras and AI to navigate in self-driving mode. On the other hand, autonomous rivals such as Waymo and Cruise rely on LiDAR, a technology that Tesla CEO Elon Musk is rather dismissive about: “Anyone relying on lidar is doomed.” Tesla AI Director Andrej Karpathy explains the difference in a February lecture.
MIT and iFlytek entered into a research collaboration in June 2018. The Chinese AI company funded various research projects under the five-year agreement. These included human-computer interaction, new approaches to machine learning, and applied voice recognition. MIT terminated this arrangement in February and did not disclose the reasons.
Artificial Intelligence: AI to Guzzle a Fifth of Global Energy by 2025; Magnetic Nanowires Could Slash That
Researchers have found that replacing silicon in neural training networks (hardware or software systems that function like human brains) by magnetic nanowires could slash energy consumption by a factor of 20X-30X. That would be a huge saving considering that data processing is expected to account for a mind-boggling 20% of global electricity consumption by 2025. At a rough calculation, that would equal to 5.5% of all CO2 emissions.
The Joint Artificial Intelligence Centre, or JAIC, is looking for tools to test and evaluate future artificial intelligence products and certify them as safe and effective.
Software programs have now become sophisticated enough to build AI programs that can improve and build upon themselves without human intervention. In testing, the program could leapfrog decades of AI research. Perhaps a seminal achievement, the Google program called AutoML-Zero could possibly discover more about AI than humans themselves.
In a blog, the FTC emphasized its actions such as bringing suits against businesses that violate laws relating to AI and automated decision making. In particular, it cited laws such as the Fair Credit Reporting Act (FCRA), enacted in 1970, and the Equal Credit Opportunity Act (ECOA), enacted in 1974. The Commission said it used the FTC Act to avert injury to consumers from AI.
The consumer watchdog also codified its principles for the protection of consumers from AI and algorithms.
Apple (NASDAQ: AAPL) and Google (NASDAQ: GOOGL) have come together to develop smartphone technology against COVID-19. Users will be notified on their phone if they have come into contact with infected persons.
The net has become indispensable over the years, and especially more so during these days of social isolation and lockdowns due to the coronavirus pandemic. Yet, consider the plight of the blind and deaf, people with motor and cognitive disabilities, and those suffering from handicaps due to old age. They are unable to use the net because most websites are not designed for use by the “differently-abled.” accessiBE uses AI to make websites fully accessible.
The coronavirus will have a dual and adverse impact on people across the globe. Not only will it impact lives through sickness and death, but it will also dramatically damage their economic well-being. Technological innovation comes to the fore at the time of such pivotal crises. While cloud computing burst on the scene after the 2008 financial crisis, it may be AI’s turn to take center stage amidst, and after, the COVID-19 pandemic.
Google Vision Cloud, a “computer vision” service that utilizes AI to label images, was found to produce different results depending on the subject’s skin color. Google (NASDAQ: GOOGL) apologized after AlgorithmWatch published the racist results of the experiment on Twitter. (AlgorithmWatch)
A study attempted to predict the future of children. Social scientists from Princeton ran an experiment with 160 teams to find out if a method existed to forecast how a child would do in later life.
What would be the child’s grade point average score? Could the family be evicted from their home? Each team had access to 15 years of data and was free to use any predictive tool they thought fit. Result: No team turned out even remotely successful.
Artificial Intelligence: Survivors of Concentration Camps and Genocide Record Their Stories for Posterity
Heather Maio, who has for years worked with exhibits related to the Holocaust, initiated a project to record interviews with survivors of the horrific genocide. These interviews would be interactive, with the viewer (the “interviewer”) getting the impression that the Holocaust survivor is sitting across and answering questions as they are lobbed.
L3Harris Technologies Inc (NYSE: LHX), a global aerospace and defense technology company, is building a new platform that will apply AI to help make sense of aerial data for the military. L3Harris will create the training data and workflows that will enable a machine learning tool to process data for the Department of Defense and derive actionable intelligence from it.
Kogniz, a startup based in Mill Valley, California, has launched a tool to detect people who may be suffering from the deadly coronavirus. Using high technology cameras and an AI-based software platform, Kogniz’s system can identify an infected person. They can then be stopped from entering the building.
Researchers at the Kanazawa University Graduate School of Medical Sciences in Kanazawa, Japan, trained a computer model to flag patients likely to be afflicted by diabetes. The process, called machine learning, teaches an AI algorithm to recognize patterns from historical data. When running on live data, the algorithm can recognize the patterns it has learned and issue an alert, for example, on the potential for contracting a disease such as diabetes.
Artificial Intelligence: AI-based Study of Newly Infected Coronavirus Patients Predicts Severity of Disease
Researchers have developed an artificial intelligence tool to reliably predict which of newly turned positive coronavirus patients would develop acute respiratory distress. In a surprise revelation, the study also found that the common symptoms relied upon to determine future COVID severity were not the best indicators.
The usage of solar batteries varies widely from home to home. That’s because each home is different – from the roof’s orientation and pitch to nearby trees that cast a shadow on the panels, even weather conditions. Optimizing solar battery usage to adjust for such variables, amidst real-time and in changing weather conditions, is a challenge. IBM (NYSE: IBM) is combining weather data and AI to solve this.
The demining of the Vietnam war era bombs in Cambodia has so far been ineffective. Machine learning and AI may help. Researchers have now combined artificial intelligence, satellite images, and declassified US military records in a model to unearth these lurking dangers to life and limb.
Linda Wang and Alexander Wong, researchers at the Waterloo Artificial Intelligence Institute, Canada, have developed COVID-Net, a Deep Convolutional Neural Network designed to detect COVID-19 cases from chest X-rays. For a deeper understanding, and further development of the AI network, the researchers have open-sourced and made it available to the general public.