Adobe is one of those companies that I don't think we pay enough attention to -- it's been around since 1982, and the entire creative economy runs through its software. You don't just edit a photo, you Photoshop it. Premiere Pro and After Effects are industry-standard video production tools. Pro photographers all depend on Lightroom. We spend a lot of time on Decoder talking about the creator economy, but creators themselves spend all their time working in Adobe's tools. Adobe is in the middle of announcing new features for all those tools this week -- at its annual conference, Adobe Max. On this episode, I'm talking to Scott Belsky, chief product officer at Adobe, about the new features coming to Adobe's products, many of which focus on collaboration, and about creativity broadly -- who gets to be a creative, where they might work, and how they get paid. Scott is a big proponent of NFTs -- non-fungible tokens. You've probably heard about NFTs, but the quick version is that they allow people to buy and sell digital artwork and keep records of that ownership in a public blockchain. The idea is to create scarcity for digital goods, just like physical products -- to definitively say you own a digital piece of art, just like you own a physical piece of art. Of course, the internet is a giant copy machine, so it's a little more complicated than that -- but a lot of people, including Scott, think it's a revolution. In fact, Photoshop itself will be able to prepare an image to be an NFT very soon. I'm a little more skeptical -- so we got into it. Scott and I talk about all that. And we squeezed it into just about an hour. This transcript has been lightly edited for clarity. It's been a while since we've talked, I've always enjoyed our conversations. We have a lot to talk about. This episode of the podcast is coming out alongside Adobe Max, your big conference, and you're announcing a ton of new products there, including big features for Creative Cloud on the web. You're very bullish on NFTs, which I really want to talk to you about, and I have some big questions about the future of computing. I was looking at these topics and I was like, "Man, I need like two hours." But we're going to try to get it all in. Let's do it, a power hour. But I want to start with what I have come to think of as the Decoder questions; the basics of how Adobe as a company works. I think Adobe, as a company, we take for granted in the best way. The products are ubiquitous, they're famous, entire industries depend on them. But I feel like it's a company we don't know a lot about.

With ODSC West 2021 just around the corner, we couldn't be more excited to announce our lineup of keynote and featured speakers. Collectively these speakers have founded companies, won numerous awards, and published hundreds of articles. Before becoming a Professor in the Computer Science Department at Stanford University, Carlos Guestrin's roles included the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple. He is also the co-founder of Turi, Inc, which developed a platform for developers and data scientists to build and deploy intelligent applications. Lama Nachman's research at Intel Labs is focused on creating contextually aware experiences that understand users through sensing and sense-making, anticipate their needs, and act on their behalf.

Recruiters nowadays are checking your online presence before contacting you about an interview. They will look for your LinkedIn profile, GitHub, and Kaggle to figure out what value you will bring to their company. The hiring manager will also look for the latest blogs or projects you have worked on in the past to prepare interview questions so that they can test your intelligence (catherinescareercorner). Other than that, working on real-world projects will give you the required experience for the job, and with a few projects in your portfolio, you will make a good impression on the recruiter (data-flair). We will be learning new ways to crack your interviews and how creating a strong portfolio has helped me aced multiple interviews.

"CNNs are a special kind of multi-layer neural networks. Like almost every other neural network they are trained with a version of the back-propagation algorithm. Where they differ is in the architecture.

In this episode of the McKinsey on Insurance podcast series, we discuss how insurtechs are driving innovation and disruption in the insurance industry. Experts from four different regions weigh in on rising valuations, threats and opportunities for incumbents, and the long-term outlook of insurtech. An edited transcript of the conversation follows. For more conversations from McKinsey on Insurance, our podcast series about the trends, disruptions, and strategies that are reshaping the insurance industry today, subscribe to the series on Apple Podcasts, Google Podcasts, Spotify, or Stitcher. Pradip Patiath: Welcome, everybody, to McKinsey on Insurance. I'm a senior partner in Chicago, and I'll be hosting today's conversation on the state of insurtech and what it means for the future. I'm joined by Tanguy Catlin, a senior partner in our Boston office; Alex Kimura, a partner based in Singapore; and Simon Kaesler, a partner in our Frankfurt office. So we have global perspectives on the important topic of insurtechs, which are tech-driven insurance companies that take advantage of new technologies to provide coverage or to reinvent business systems in this digital era. Insurtechs are certainly extending innovation throughout the sector. We've seen something similar in other sectors as well--such as healthcare, retail, and banking.

'Gutfeld!' panel weighs in on China's response to the statement This is a rush transcript of "Gutfeld" on October 22, 2021. This copy may not be in its final form and may be updated. Bad things are happening, but it's OK because we're all in this together. What did we get from Joe? An incoherent jumble of memories and confused looks. What the hell was that? JOE BIDEN, PRESIDENT OF THE UNITED STATES: Forty percent of all products coming into the United States of America on the West Coast go through Los Angeles and -- what am I doing here? COOPER: Do you have plans to visit the southern border? BIDEN: I've been there before and I haven't -- I mean, I know it well. I guess I should go down. But what you see is wages are actually up. I have the freedom to kill you. My guess is you'll start to see gas prices come down as we get by -- and going into the winter. I mean, excuse me, and then next year in 2022. I must tell you, I don't have a near-term answer. Well, that was the opposite of comforting. It seems his only strategy is to deflect from our current misery to promising more misery. Angelo Negri was from memory ranch. And she came up to me one day when I was -- when they just had announced that I had flown one million some X number of miles on Air Force aircraft. And asked, she comes up and I'm getting in the car and he goes, Joey baby, what do you do?

As the sports betting industry is gaining steam, I am interested in selling NBA spread picks to sports bettors via subscription to my service. I will use regression models to predict outcomes of NBA games. My goal is to make a prediction on the spreads (point differential) of each game, and use that information to bet against the Vegas spread. Because Vegas typically takes a 10% rake for each bet, I have to be able to beat Vegas 52.5% of the time in order to be profitable. My data was collected via scraping, using Beautiful Soup, basketball-reference.com and sportsbookreviewonline.com, using data from all regular season games from 2011–2020, which includes 11,656 games.

The 2021 edition of the State of AI Report came out last week. So did the Kaggle State of Machine Learning and Data Science Survey. There's much to be learned and discussed in these reports, and a couple of takeaways caught my attention. "AI is increasingly being applied to mission critical infrastructure like national electric grids and automated supermarket warehousing calculations during pandemics. However, there are questions about whether the maturity of the industry has caught up with the enormity of its growing deployment."

Whether protecting against surges on electric networks, locating designs amongst previous criminal offenses, or even improving sources in the treatment of significantly bad people, Duke University computer system expert Cynthia Rudin desires expert system (AI) to reveal its own job. When it is actually creating choices that profoundly impact individuals's lifestyles, particularly. " I would like to give thanks to AAAI and also Squirrel AI for making this honor that I understand will definitely be actually a game-changer for the area," Rudin pointed out. "To possess a'Nobel Prize' for artificial intelligence to assist culture creates it ultimately crystal clear undeniably that this subject matter -- AI help the advantage for community -- is really significant." Dark container designs are actually the contrast of Rudin's straightforward codes.

The Delta variant of the coronavirus spread to more countries in recent weeks, and the total number of cases officially logged soared past half a million per day. The global number of deaths is now about two-thirds as high as it was at the peak of the previous wave, in April of this year. As the virus spreads, the potential rises for a vaccine-resistant strain to emerge. Meanwhile, in poorer countries, vaccines are scarce, and most populations are little protected (exhibit).