During a keynote address today at its re: Invent 2021 conference, Amazon announced SageMaker Canvas, which enables users to create machine learning models without having to write any code. Using SageMaker Canvas, Amazon Web Services (AWS) customers can run a machine learning workflow with a point-and-click user interface to generate predictions and publish the results.
Low-and no-code platforms allow developers and non-developers alike to create software through visual dashboards instead of traditional programming. Adoption is on the rise, with a recent OutSystems report showing that 41% of organizations were using a low-or no-code tool in 2019/2020, up from 34% in 2018/2019.
“Now, business users and analysts can use Canvas to generate highly accurate predictions using an intuitive, easy-to-use interface,” AWS CEO Adam Selipsky said onstage. “Canvas uses terminology and visualizations already familiar to [users] and complements the data analysis tools that [people are] already using.”
I’m more optimistic about our future, but this information still needs to be taken into account, as the hard data and it’s interpretation are troubling in the extreme, ESPECIALLY for transhumanists like me and like many of you…
How will future AI systems make the most ethical choices for all of us?
Artificial intelligence is already making decisions in the fields of business, health care, and manufacturing. But AI algorithms generally still get help from people applying checks and making the final call.
What would happen if AI systems had to make independent decisions and ones that could mean life or death for humans?
Unlike humans, robots lack a moral conscience and follow the “ethics” programmed into them. At the same time, human morality is highly variable. The “right” thing to do in any situation will depend on who you ask.
What does it mean when someone calls you smart or intelligent? According to developmental psychologist Howard Gardner, it could mean one of eight things. In this video interview, Dr. Gardner addresses his eight classifications for intelligence: writing, mathematics, music, spatial, kinesthetic, interpersonal, and intrapersonal.
HOWARD GARDNER: Howard Gardner is a developmental psychologist and the John H. and Elisabeth A. Hobbs Professor of Cognition and Education at the Harvard Graduate School of Education. He holds positions as Adjunct Professor of Psychology at Harvard University and Senior Director of Harvard Project Zero. Among numerous honors, Gardner received a MacArthur Prize Fellowship in 1981. In 1990, he was the first American to receive the University of Louisville’s Grawemeyer Award in Education and in 2000 he received a Fellowship from the John S. Guggenheim Memorial Foundation. In 2005 and again in 2008 he was selected by Foreign Policy and Prospect magazines as one of 100 most influential public intellectuals in the world. He has received honorary degrees from twenty-two colleges and universities, including institutions in Ireland, Italy, Israel, and Chile. The author of over twenty books translated into twenty-seven languages, and several hundred articles, Gardner is best known in educational circles for his theory of multiple intelligences, a critique of the notion that there exists but a single human intelligence that can be assessed by standard psychometric instruments. During the past twenty five years, he and colleagues at Project Zero have been working on the design of performance-based assessments, education for understanding, and the use of multiple intelligences to achieve more personalized curriculum, instruction, and assessment. In the middle 1990s, Gardner and his colleagues launched The GoodWork Project. “GoodWork” is work that is excellent in quality, personally engaging, and exhibits a sense of responsibility with respect to implications and applications. Researchers have examined how individuals who wish to carry out good work succeed in doing so during a time when conditions are changing very quickly, market forces are very powerful, and our sense of time and space is being radically altered by technologies, such as the web. Gardner and colleagues have also studied curricula. Gardner’s books have been translated into twenty-seven languages. Among his books are The Disciplined Mind: Beyond Facts and Standardized Tests, The K-12 Education that Every Child Deserves (Penguin Putnam, 2000) Intelligence Reframed (Basic Books, 2000), Good Work: When Excellence and Ethics Meet (Basic Books, 2001), Changing Minds: The Art and Science of Changing Our Own and Other People’s Minds (Harvard Business School Press, 2004), and Making Good: How Young People Cope with Moral Dilemmas at Work (Harvard University Press, 2004; with Wendy Fischman, Becca Solomon, and Deborah Greenspan). These books are available through the Project Zero eBookstore. Currently Gardner continues to direct the GoodWork project, which is concentrating on issues of ethics with secondary and college students. In addition, he co-directs the GoodPlay and Trust projects; a major current interest is the way in which ethics are being affected by the new digital media. In 2006 Gardner published Multiple Intelligences: New Horizons, The Development and Education of the Mind, and Howard Gardner Under Fire. In Howard Gardner Under Fire, Gardner’s work is examined critically; the book includes a lengthy autobiography and a complete biography. In the spring of 2007, Five Minds for the Future was published by Harvard Business School Press. Responsibility at Work, which Gardner edited, was published in the summer of 2007.
TRANSCRIPT: Howard Gardner: Currently I think there are eight intelligences that I’m very confident about and a few more that I’ve been thinking about. I’ll share that with our audience. The first two intelligences are the ones which IQ tests and other kind of standardized tests valorize and as long as we know there are only two out of eight, it’s perfectly fine to look at them. Linguistic intelligence is how well you’re able to use language. It’s a kind of skill that poets have, other kinds of writers; journalists tend to have linguistic intelligence, orators. The second intelligence is logical mathematical intelligence. As the name implies logicians, mathematicians…Read the full transcript at https://bigthink.com/videos/howard-gardner-on-the-eight-intelligences
The Seoul Metropolitan Government (SMG) is the first local government in Korea to establish a metaverse platform, which has emerged as a contactless communication channel in the post-pandemic era, to start providing a new-concept public service by using the platform in its administration.
The SMG plans to establish “Metaverse Seoul” (tentatively named), a high-performance platform, by the end of next year, and create a metaverse ecosystem for all areas of its municipal administration, such as economic, cultural, tourism, educational and civic service, in three stages from next year.
Starting with the pilot program of a Bosingak Belfry virtual bell ringing event at the end of this year, the SMG will consecutively provide various business support facilities and services, including the Virtual Mayor’s Office, Seoul FinTech Lab, Invest Seoul and Seoul Campus Town, on its metaverse platform.
Upside Foods opened the largest synthetic meat factory in the world. It’s designed to grow thousands of pounds of chicken, beef and pork. Backed by Bill Gates and Richard Branson, Upside is betting consumers will go for vat-grown meat.
#Food #HelloWorld #BloombergQuicktake.
About Hello World:
Meet the exotic, colorful, and endlessly entertaining characters that make up the technology industry beyond big tech. Watch Bloomberg’s Ashlee Vance in a journey around the world to find the inventors, scientists and technologists shaping our future: https://youtube.com/playlist?list=PLqq4LnWs3olU-bP2R9uD8YXbt02JjocOk.
QuickTake Originals is Bloomberg’s official premium video channel. We bring you insights and analysis from business, science, and technology experts who are shaping our future. We’re home to Hello World, Giant Leap, Storylines, and the series powering CityLab, Bloomberg Businessweek, Bloomberg Green, and much more.
One of China’s biggest AI solution providers SenseTime is a step closer to its initial public offering. SenseTime has received regulatory approval to list on the Hong Kong Stock Exchange, according to media reports. Founded in 2014, SenseTime was christened as one of China’s four “AI Dragons” alongside Megvii, CloudWalk, and Yitu. In the second half of the 2010s, their algorithms found much demand from businesses and governments hoping to turn real-life data into actionable insights. Cameras embedded with their AI models watch city streets 24 hours. Malls use their sensing solutions to track and predict crowds on the premises.
SenseTime’s three rivals have all mulled plans to sell shares either in mainland China or Hong Kong. Megvii is preparing to list on China’s Nasdaq-style STAR board after its HKEX application lapsed.
The window for China’s data-rich tech firms to list overseas has narrowed. Beijing is making it harder for companies with sensitive data to go public outside China. And regulators in the West are wary of facial recognition companies that could aid mass surveillance.
But in the past few years, China’s AI upstarts were sought after by investors all over the world. In 2018 alone, SenseTime racked up more than $2 billion in investment. To date, the company has raised a staggering $5.2 billion in funding through 12 rounds. Its biggest outside shareholders include SoftBank Vision Fund and Alibaba’s Taobao. For its flotation in Hong Kong, SenseTime plans to raise up to $2 billion, according to Reuters.
Is it an egg, a blimp or a bullet? Whatever you might want to call the shape of the Otto Celera 500L, it’s one that catches the eye. It looks like no other plane out there, and for a good reason: unique aerodynamics.
The shape of the Celera is designed to drastically reduce drag by allowing air to flow very smoothly over the surface of the plane. That makes the aircraft less power-hungry, which means it burns less fuel.
“This gets us four to five times the efficiency of other turboprop aircraft, and seven to eight times the efficiency of jet aircraft,” says William Otto Jr., CEO of Otto Aviation.
Everyone talks about learning methods, but few people can find realistic and genuine methods that provide a net profit in the types of information and application.
Elon Musk has broken through that barrier by employing learning techniques that have been proven time and time again to be successful. Musk may be said to have taken use of his education by becoming a disruptor. He and his businesses have transformed entire industries, such as transportation, energy, and space.
He recently stated at a press conference that his plans for his biotech company, Neuralink, are proceeding well, implying that he will likely move his focus in the near future to yet another sector. Musk is, without even a doubt, a once-in-a-generation genius. Possibly on par with Nikola Tesla, Albert Einstein, and Isaac Newton. He tackles things in a different way than the typical entrepreneur.
Business travel is going egg-shaped. Otto Aviation’s Celera 500L was just put through its paces with its first flight tests, a press statement reveals. The aircraft was designed as a business aircraft that is much cheaper to run than today’s options.
To achieve this ambitious goal, the Celera employs an egg-like design that achieves laminar flow — the uninterrupted flow of air — when in flight, vastly reducing drag by allowing air to flow smoothly over the aircraft’s surface.
