Recent surveys, studies, forecasts and other quantitative assessments of AI highlight the number of manufacturing jobs eliminated by robots; why robots could replace financial analysts; the very small number of organizations not evaluating or using AI today; and the debate over the usefulness of Covid-19 contact-tracing.
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“It is impossible to defeat an enemy that we cannot see,” says Bill Gates. Like many other observers and participants in the fight with COVID-19, Gates maintains that testing is critical for the reopening of the US economy, to identify new hot spots and intervening, even reversing relaxed policies, in a timely manner.
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News from Israel today about rapid progress in developing a COVID-19 vaccine and in identifying people at the highest risk of severe COVID-19 complications.
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Recent surveys, studies, forecasts and other quantitative assessments of AI highlight the role AI plays in fighting the Coronavirus, the business impact of AI, and what the American public feels about it.
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Can human ingenuity assisted by new and emerging technologies overpower Covid-19? Will faster processing of more—and more relevant—data, analyzed with the right models, yield better insights into mitigating the spread of future pandemics, designing effective treatments, and developing successful vaccines? A number of promising initiatives were announced in recent weeks aiming to enlist data, AI algorithms, supercomputers, and human expertise in the fight with our global predicament.
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The explosion of breakthroughs, investments, and entrepreneurial activity around artificial intelligence over the last decade has been driven exclusively by deep learning, a sophisticated statistical analysis technique for finding hidden patterns in large quantities of data. A term coined in 1955—artificial intelligence—was applied (or mis-applied) to deep learning, a more advanced version of an approach to training computers to perform certain tasks—machine learning—a term coined in 1959.
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As the coronavirus came suddenly out of stealth mode, displaying a record-breaking adherence to Silicon Valley’s mantra of “scaling up,” shocked startup investors—watching the Bloomberg US Startups Barometer plunging more than 50% in 3 months—ask “what’s to be done now”?
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Recent surveys, studies, forecasts and other quantitative assessments of the progress and impact of AI highlight the growing respect for data and its uses by businesses everywhere and the increasingly positive—but still mixed—attitudes towards AI by US consumers.
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The global outbreak of the new Coronavirus brought to our attention an inconvenient truth about influenza: The seasonal flu kills between 291,000 to 645,000 people worldwide each year. Still, a December 2019 survey found that 37% of US adults did not intend to get a flu shot.
Recent surveys, studies, forecasts and other quantitative assessments of the progress and impact of AI highlight the confusion and contradictory attitudes of consumers about the privacy of their data, the impact of AI on jobs, and the race for AI supremacy.
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