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Blog
Ten Simple Ways to Act on Climate Change
| Posted on February 9, 2020 at 1:04 PM |
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****** In a report published in September 2018, the world’s leading climate scientists made their starkest warning so far: our current actions are not enough for us to meet our target of 1.5C of warming. We need to do more. It’s settled science that climate change is real, and we’re starting to see some of the ways that it affects us. It increases the likelihood of flooding in Miami and elsewhere, threatens the millions of people living along the Brahmaputra River in north-eastern India and disrupts the sex life of plants and animals. So we don’t need to ask whether climate change is happening – or whether humans are causing it. Instead, we need to ask: “what can we do?”... ****** (To read the entire article, please click on the image below)  |
Why specialization can be a downside in our ever-changing world
| Posted on January 21, 2020 at 11:57 PM |
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****** Popular wisdom drives home the importance of a head start and specializing early. Not so fast, advises journalist David Epstein. After Epstein wrote about the famed 10,000-hour rule in his first book, The Sports Gene, he was invited to debate Malcolm Gladwell, whose book Outliers had brought the rule into the mainstream. To prepare for the debate, Epstein gathered studies that looked at the development of elite athletes and saw that the trend was not early specialization. Rather, in almost every sport there was a “sampling period” where athletes learned about their own abilities and interests. The athletes who delayed specialization were often better than their specialized peers, who plateaued at lower levels. Epstein filed this information away until he was asked by the Pat Tillman Foundation to give a talk to a group of military veterans. These were people who were changing careers and having doubts that are familiar to many: whether they were doomed to always be behind because they hadn’t stuck to one thing. Epstein became interested in exploring the benefits of being a specialist versus a generalist, and ended up writing Range: Why Generalists Triumph in a Specialized World (Penguin Random House). The Verge spoke to Epstein about “kind” versus “wicked” environments, the importance of doing instead of planning, and the difference between having range and being a dilettante... ****** (To read the entire article and the interview, please click on the image below) |
The Flaws a Nobel Prize-Winning Economist Wants You to Know About Yourself
| Posted on January 19, 2020 at 10:33 AM |
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******* Here are some of the main ways behavioral economists say we let ourselves down.\Nobel thinking. Sorry to say it, but you’re not perfect. We like to believe that we are smart, rational creatures, always acting in our best interests. In fact, dominant economic theory these days often makes that assumption. What was left of this illusion was further dismantled by the The Royal Swedish Academy of Sciences, who awarded the Nobel prize in economics to Richard Thaler, an American economist at the University of Chicago, for his pioneering work in behavioral economics, which examines humanity’s flaws—namely, why we don’t make rational economic decisions... ******* (To read the entire article, please click on the image below)  |
From System 1 Deep Learning to System 2 Deep Learning (NeurIPS 2019)
| Posted on December 24, 2019 at 5:56 PM |
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An industry first! A self-driving truck delivered butter from California to Pennsylvania in three days
| Posted on December 15, 2019 at 7:02 PM |
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****** A Silicon Valley startup has completed what appears to be the first commercial freight cross-country trip by an autonomous truck, which finished a 2,800-mile-run from Tulare, California to Quakertown, Pennsylvania for Land O’Lakes in under three days. The trip was smooth like butter, 40,000 pounds of it. Plus.ai, a 3-year-old company in Cupertino, announced the milestone Tuesday. A safety driver was aboard the autonomous semi, ready to take the wheel if needed, along with a safety engineer who observed how things were going... ******* (To watch the video, please click on the image below) |
Seven Jobs That AI Could Replace by 2030
| Posted on December 14, 2019 at 9:09 PM |
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****** In a recent speech, Forrester vice president and principal consultant Huard Smith said that the human aspect of many professions would be “all gone” by 2030 due to advances in AI and ML technology. In this piece, I’ll look at seven of the industries or positions that are currently most likely to decline over the next decade. Believe me; number seven will surprise you. The chances of this particular role becoming fully computerized are as high as 99.9%. This is mainly because telemarketing conversion rates are relatively low. Also, there is an expected 4% reduction in career growth expectancy across this industry over the next few years.,, ****** (To read the entire article, please click on the image below) |
Bjarne Stroustrup: C++ | Artificial Intelligence (AI) Podcast
| Posted on November 7, 2019 at 9:45 PM |
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What Is Federated Learning?
| Posted on October 15, 2019 at 11:27 PM |
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********* The key to becoming a medical specialist, in any discipline, is experience. Knowing how to interpret symptoms, which move to make next in critical situations, and which treatment to provide — it all comes down to the training you’ve had and the opportunities you’ve had to apply it. For AI algorithms, experience comes in the form of large, varied, high-quality datasets. But such datasets have traditionally proved hard to come by, especially in the area of healthcare. Medical institutions have had to rely on their own data sources, which can be biased by, for example, patient demographics, the instruments used or clinical specializations. Or they’ve needed to pool data from other institutions to gather all of the information they need. Federated learning makes it possible for AI algorithms to gain experience from a vast range of data located at different sites. The approach enables several organizations to collaborate on the development of models, but without needing to directly share sensitive clinical data with each other. Over the course of several training iterations the shared models get exposed to a significantly wider range of data than what any single organization possesses in-house... ********* (To read the entire article, please click on the image below) |
How AI will transform healthcare (and can it fix the US healthcare system?)
| Posted on October 15, 2019 at 9:42 PM |
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********* For those who are new to AI, Machine Learning, and Deep Learning, I recommend taking a look at the following article entitled "An Introduction to AI." I will refer to Machine Learning and Deep Learning as being subsets of AI. Furthermore, this article is non-exhaustive in relation to potential applications of AI to healthcare and Quantum Computing to various sectors of the economy. The reason for the focus on AI in healthcare is in light of recent articles by a few senior medical practitioners in the US expressing concern about the role of AI in healthcare. Some of the concerns expressed, such as the need for improved sharing of data by healthcare participants including hospitals and ensuring the highest quality in the preparation of data, are entirely valid and I take the view that the need for access to data and sharing of data by hospitals may need to become a matter of political and regulatory concern. In addition, careful evaluation of ground truth for data labelling, testing, and validation of models needs to be ensured across all AI companies offering services across healthcare. However, I remain of the view that AI and in particular Deep Learning technology will have a major role to play in healthcare in the 2020s... ******** (To read the entire article, please click on the image below) |
