Motley Fool Money - Record Highs, Coronavirus Concerns, Facebook’s New Hobby

Nvidia shakes off its “crypto hangover” and reports blowout earnings. Shopify soars. Pepsi surprises. And Roku rises. Motley Fool analysts Emily Flippen, Ron Gross, and Jason Moser discuss those stories and weigh in on the latest from Mattel, Lyft, Under Armour, and Restaurant Brands International. Plus, our analysts talk about the coronavirus and what it means for investors. We dig into Facebook’s Pinterest-like app, Samsung’s foldable phone, Kellogg’s Incogmeato, and Kentucky Fried Crocs. And our analysts share three stocks on their radar: Appian, Tencent, and Salesforce.

Thanks Health IQ. See if you qualify for lower rates! healthiq.com/fool

Get the first $50 off your first job post at LinkedIn.com/fool. Terms and conditions apply.

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CrowdScience - What is cancer?

Cancer is the second leading cause of death in the world. Many of us will at some point in our lives be confronted with the disease – either by falling ill ourselves or through a family member or friend. For CrowdScience presenter Marnie Chesterton, the diagnosis would change her life.

The range of cancer symptoms and mortality rates vary considerably. Not all cancers are fatal and in some cases, cancer ends up more like a chronic debilitating disease, resulting in patients eventually dying from some other condition. This has got listener Gill in Scotland wondering – why do we call all cancers, cancer? And when did doctors first realise that all cancers are part of the same problem?

First described by the Egyptians thousands of years ago and later coined by the Greek physician Hippocrates as “karninos”, the Greek word for “crab”, cancer is ominously absent from medical literature until the late 19th century. Throughout history it has puzzled, infuriated and enticed doctors and scientists to push medical science to its breaking point. Archaeologists have recently discovered that the ancient Egyptians had a term for cancer and that remedies they used then contain compounds that are found in modern chemotherapy.

As we uncover the science and history of cancer, presenter Marnie Chesterton takes us on a journey through her own experience of living with and beyond the diagnosis and we examine the promise of future treatments.

Presented by Marnie Chesterton. Produced by Louisa Field.

[Photo: Cancer Cell. Credit: Getty Images]

What Next | Daily News and Analysis - Introducing: The United States of Anxiety

Every so often, the What Next team wants to share another great podcast with our listeners. This time, it's The United States of Anxiety from WNYC. In its fourth season, host Kai Wright is figuring out how the intense debates happening during the 2020 election can be traced back to a key point in American history.

To listen to the rest of the episodes, subscribe wherever you get your podcasts.

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CoinDesk Podcast Network - BREAKDOWN: The Top Narratives Driving Crypto Market Growth, feat. Travis Kling

There’s no denying that 2020 is off to a roaring start. From prices to volume to social media, sentiment is up up up. 

But what’s driving it? On this special Valentine’s Day episode, @nlw reacts to listeners votes about which narratives are most driving the shift in energy, discussing: 

  • The BTC halving
  • Coronavirus and volatility
  • Fed action
  • Central bank digital currency intrigue
  • Ethereum and DeFi
  • Price reflexivity and Lindy effects 


The episode finishes up with some hot takes on what is driving the markets and what we should be most concerned about and most excited for with Ikigai Asset Management’s Travis Kling.

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Lex Fridman Podcast - Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence

Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. He was born in the Soviet Union, worked at the Institute of Control Sciences in Moscow, then in the US, worked at AT&T, NEC Labs, Facebook AI Research, and now is a professor at Columbia University. His work has been cited over 200,000 times.

This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.

This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”. 

Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

00:00 – Introduction
02:55 – Alan Turing: science and engineering of intelligence
09:09 – What is a predicate?
14:22 – Plato’s world of ideas and world of things
21:06 – Strong and weak convergence
28:37 – Deep learning and the essence of intelligence
50:36 – Symbolic AI and logic-based systems
54:31 – How hard is 2D image understanding?
1:00:23 – Data
1:06:39 – Language
1:14:54 – Beautiful idea in statistical theory of learning
1:19:28 – Intelligence and heuristics
1:22:23 – Reasoning
1:25:11 – Role of philosophy in learning theory
1:31:40 – Music (speaking in Russian)
1:35:08 – Mortality

Stuff They Don't Want You To Know - Murder in Oregon, with Phil Stanford

How far would you go for justice? Join the guys as they interview award-winning investigative journalist Phil Stanford about the strange, twisting tale behind his podcast, Murder In Oregon.

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