Alberto Todeschini's guest appearances

Alberto Todeschini

HumAIn Podcast - Artificial Intelligence, Data Science, Developer Tools, and Technical Education

Nikita Shamgunov

Chris Butler

Mike Robbins

Lorna Davis

Jake Porway

Stephen Miller

Robert Scoble

John Spence

Babak Hodjat

Vasco Pedro

Lex Sokolin

Jordan Tigani

Magnus Carlsen

Thor Ernstsson

Alex Beard

OwlTail

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSAlberto Todeschini is a Faculty director, consultant and lecturer in artificial intelligence. He has supervised over 150 projects covering a wide variety of industries and techniques, with a special focus on sustainability in energy and water. He also works with the University of California, Berkeley, GetSmarter, and aivancity. Episode Links: Alberto Todeschini's LinkedIn: https://www.linkedin.com/in/atodeschini/ Alberto Todeschini's Twitter:Alberto Todeschini's Website: https://www.ischool.berkeley.edu/people/alberto-todeschini Podcast Details: Podcast website: https://www.humainpodcast.com Apple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009 Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS RSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9 YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag YouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videosSupport and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators – Twitter:  https://twitter.com/dyakobovitch– Instagram: https://www.instagram.com/humainpodcast/ – LinkedIn: https://www.linkedin.com/in/davidyakobovitch/ – Facebook: https://www.facebook.com/HumainPodcast/ – HumAIn Website Articles: https://www.humainpodcast.com/blog Outline: Here’s the timestamps for the episode: (00:00) – Introduction(01:49) – It has been interesting because in the last few years, a lot of this is about the environment, about energy and about agriculture having been penetrated by data science. I'm pretty optimistic actually, coming out of this big dark cloud. First half of 2022 will be some good news. (03:56) – Newer energy technologies have been around for a while, but they really have become mainstream recently, such as wind and solar. They are intrinsically data-driven. So you need to squeeze every last percent of energy out of this massively capital intensive works.(06:22) – With COVID, we've been forced essentially to experiment. We will see more experimentation around the livable cities for instance. There's a lot of appetite for resilience, for community resilience, maybe at the city level, but also at the regional level and national level.(09:00) – We've seen the investment moving elsewhere to renewable, which is certainly more future proof. if you talk to the epidemiologists, they'll say, well, there will be another pandemic. As a matter of fact, it could be a lot deadlier. So it will be nice to have this distributed way of storing large amounts of essential items.(12:40) – 5G enables this distributed system and the ability to communicate incredibly quickly and also to do, technically speaking, inference on the edge.(17:08) - The market in Europe is pretty fragmented. Partially that has to do with language. So, pretty much most European countries would speak reasonable English, but that's not absolutely not true for the entire population. One of the things that maybe has changed with COVID is the sense of locality.(20:25) – There's a huge amount of work that needs to be done postmortem, in the real meaning of the term, to understand what went wrong with the data collection. So that next time, collect it better. What went wrong with communication between health authorities and political authorities and the general population.(24:49) –  Cultivated areas are very interesting because agriculture consumes the majority of fresh workers and about half of agriculture. Currently it is not sustainable. Purely from the point of view of water. And we're not talking about deforestation, we're not talking about runoff of chemicals into the ocean, purely just the water.7:05) – Some of the main carbon capture technology is very water-intensive. As we increase both the data collection, as well as the predictions, which are two of the main things that we can do with machine learning, we can just use water better.(28:45) –  These companies that are, from day one, data-driven companies, are all thriving and they're becoming ever more unmatchable.(38:45) – Let’s use technology to figure out how to improve life in the city or make places where we enjoy walking. We like walking, and we enjoy local restaurants. We enjoy going out. We like biking around the same city, livable cities. So maybe that is something we can think about and work towards.(41:31) –  It's been awful. It still is awful, but I'm optimistic. Look around your neighborhood and think of things that you want to stay with us. We've been given a great opportunity to reset a lot of our habits.Advertising Inquiries: https://redcircle.com/brandsPrivacy &amp; Opt-Out: https://redcircle.com/privacy

[Audio] Podcast:<a href="https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS" rel="nofollow" target="_blank"> </a><a href="https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS" rel="nofollow" target="_blank">Play in new window</a> |<a href="https://www.listennotes.com/podcasts/humain-podcast-artificial-intelligence-data-fBRret2PTiU/" rel="nofollow" target="_blank"> </a><a href="https://www.listennotes.com/podcasts/humain-podcast-artificial-intelligence-data-fBRret2PTiU/" rel="nofollow" target="_blank">Download</a>Subscribe:<a href="https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5yZWRjaXJjbGUuY29tLzk5MTEzZjI0LTJiZDEtNDMzMi04Y2QwLTMyZTA1NTZjOGJjOQ" rel="nofollow" target="_blank"> </a><a href="https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5yZWRjaXJjbGUuY29tLzk5MTEzZjI0LTJiZDEtNDMzMi04Y2QwLTMyZTA1NTZjOGJjOQ" rel="nofollow" target="_blank">Google Podcasts</a> |<a href="https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS" rel="nofollow" target="_blank"> </a><a href="https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS" rel="nofollow" target="_blank">Spotify</a> |<a href="https://www.stitcher.com/show/humain" rel="nofollow" target="_blank"> </a><a href="https://www.stitcher.com/show/humain" rel="nofollow" target="_blank">Stitcher</a> | <a href="https://tunein.com/podcasts/Technology-Podcasts/HumAIn-p1224678/" rel="nofollow" target="_blank">TuneIn</a> | <a href="https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9" rel="nofollow" target="_blank">RSS</a>Alberto Todeschini is a Faculty director, consultant and lecturer in artificial intelligence. He has supervised over 150 projects covering a wide variety of industries and techniques, with a special focus on sustainability in energy and water. He also works with the University of California, Berkeley, GetSmarter, and aivancity. Episode Links: Alberto Todeschini's LinkedIn: <a href="https://www.linkedin.com/in/atodeschini/" rel="nofollow" target="_blank">https://www.linkedin.com/in/atodeschini/</a> Alberto Todeschini's Twitter:Alberto Todeschini's Website: <a href="https://www.ischool.berkeley.edu/people/alberto-todeschini" rel="nofollow" target="_blank">https://www.ischool.berkeley.edu/people/alberto-todeschini</a> Podcast Details: Podcast website: <a href="https://www.humainpodcast.com" rel="nofollow" target="_blank">https://www.humainpodcast.com</a> Apple Podcasts:  <a href="https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009" rel="nofollow" target="_blank">https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009</a> Spotify:  <a href="https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS" rel="nofollow" target="_blank">https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS</a> RSS: <a href="https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9" rel="nofollow" target="_blank">https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9</a> YouTube Full Episodes: <a href="https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag" rel="nofollow" target="_blank">https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag</a> YouTube Clips:  <a href="https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videos" rel="nofollow" target="_blank">https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videos</a>Support and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: <a href="https://www.patreon.com/humain/creators" rel="nofollow" target="_blank">https://www.patreon.com/humain/creators</a> – Twitter:  <a href="https://twitter.com/dyakobovitch" rel="nofollow" target="_blank">https://twitter.com/dyakobovitch</a>– Instagram: <a href="https://www.instagram.com/humainpodcast/" rel="nofollow" target="_blank">https://www.instagram.com/humainpodcast/</a> – LinkedIn: <a href="https://www.linkedin.com/in/davidyakobovitch/" rel="nofollow" target="_blank">https://www.linkedin.com/in/davidyakobovitch/</a> – Facebook: <a href="https://www.facebook.com/HumainPodcast/" rel="nofollow" target="_blank">https://www.facebook.com/HumainPodcast/</a> – HumAIn Website Articles: <a href="https://www.humainpodcast.com/blog" rel="nofollow" target="_blank">https://www.humainpodcast.com/blog</a> Outline: Here’s the timestamps for the episode: (00:00) – Introduction(01:49) – It has been interesting because in the last few years, a lot of this is about the environment, about energy and about agriculture having been penetrated by data science. I'm pretty optimistic actually, coming out of this big dark cloud. First half of 2022 will be some good news. (03:56) – Newer energy technologies have been around for a while, but they really have become mainstream recently, such as wind and solar. They are intrinsically data-driven. So you need to squeeze every last percent of energy out of this massively capital intensive works.(06:22) – With COVID, we've been forced essentially to experiment. We will see more experimentation around the livable cities for instance. There's a lot of appetite for resilience, for community resilience, maybe at the city level, but also at the regional level and national level.(09:00) – We've seen the investment moving elsewhere to renewable, which is certainly more future proof. if you talk to the epidemiologists, they'll say, well, there will be another pandemic. As a matter of fact, it could be a lot deadlier. So it will be nice to have this distributed way of storing large amounts of essential items.(12:40) – 5G enables this distributed system and the ability to communicate incredibly quickly and also to do, technically speaking, inference on the edge.(17:08) - The market in Europe is pretty fragmented. Partially that has to do with language. So, pretty much most European countries would speak reasonable English, but that's not absolutely not true for the entire population. One of the things that maybe has changed with COVID is the sense of locality.(20:25) – There's a huge amount of work that needs to be done postmortem, in the real meaning of the term, to understand what went wrong with the data collection. So that next time, collect it better. What went wrong with communication between health authorities and political authorities and the general population.(24:49) –  Cultivated areas are very interesting because agriculture consumes the majority of fresh workers and about half of agriculture. Currently it is not sustainable. Purely from the point of view of water. And we're not talking about deforestation, we're not talking about runoff of chemicals into the ocean, purely just the water.7:05) – Some of the main carbon capture technology is very water-intensive. As we increase both the data collection, as well as the predictions, which are two of the main things that we can do with machine learning, we can just use water better.(28:45) –  These companies that are, from day one, data-driven companies, are all thriving and they're becoming ever more unmatchable.(38:45) – Let’s use technology to figure out how to improve life in the city or make places where we enjoy walking. We like walking, and we enjoy local restaurants. We enjoy going out. We like biking around the same city, livable cities. So maybe that is something we can think about and work towards.(41:31) –  It's been awful. It still is awful, but I'm optimistic. Look around your neighborhood and think of things that you want to stay with us. We've been given a great opportunity to reset a lot of our habits. Advertising Inquiries: <a href="https://redcircle.com/brands" rel="nofollow" target="_blank">https://redcircle.com/brands</a> Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" rel="nofollow" target="_blank">https://redcircle.com/privacy</a>

How to Reimagine Education and Society in a Post-Pandemic World with Alberto Todeschini

[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSAlberto Todeschini is a Faculty director, consultant and lecturer in artificial intelligence. He has supervised over 150 projects covering a wide variety of industries and techniques, with a special focus on sustainability in energy and water. He also works with the University of California, Berkeley, GetSmarter, and aivancity. Episode Links:  Alberto Todeschini’s LinkedIn: https://www.linkedin.com/in/atodeschini/ Alberto Todeschini’s Twitter:  Alberto Todeschini’s Website:  https://www.ischool.berkeley.edu/people/alberto-todeschini Podcast Details: Podcast website: https://www.humainpodcast.comApple Podcasts:  https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009Spotify:  https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpSRSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1ragYouTube Clips:  https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videosSupport and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: https://www.patreon.com/humain/creators– Twitter:  https://twitter.com/dyakobovitch– Instagram: https://www.instagram.com/humainpodcast/– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/– Facebook: https://www.facebook.com/HumainPodcast/– HumAIn Website Articles: https://www.humainpodcast.com/blog/Outline: Here’s the timestamps for the episode: (00:00) – Introduction(01:59) – Cultural difference in cultural attitudes about privacy and concerns that exist in some locations in Asia(02:51) – Difference in attitudes to freedom of speech in Europe and in the US: Americans value freedom of speech less, and it's something similar with privacy. To take privacy seriously on a global level we need to talk to people from around the world and understand that population density, economic growth, and other factors are very important(05:27) – One of the challenges about AI being merged into business is interpretability. If you can't interpret and explain your algorithms to your investors, you may have a hard time. You may choose something that works a little less well, but it is a lot easier to interpret(10:13) – There's a certain technical proficiency that doesn't have to be extraordinary. Involving the experts to solve real problems(14:56) – The dangers of AI. Weaknesses in classification systems susceptible to attacks, either by misfire or potentially more vicious. We are moving into a world with hundreds of millions, billions of gadgets that do machine learning in houses, in hospitals, on army bases(21:01) – Generative Adversarial Networks and a way to be protected from attacks(25:45) – Fake News.We are not going to be able to trust our unaided human consensus with anything that comes to us digitally(29:43) – There's more time and ability allowing us it's increasingly feed different types of data into a single system. That's why the overall system works better to feed different modalities of texts into data, into our algorithms and for users, it will get richer products and richer experiences(34:03) – Augmented human intelligence. Creating experiences where data science and machine-driven learning is able to augment user experience and create better solutions for societyAdvertising Inquiries: https://redcircle.com/brandsPrivacy &amp; Opt-Out: https://redcircle.com/privacy

[Audio] Podcast:<a href="https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS" rel="nofollow" target="_blank"> </a><a href="https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS" rel="nofollow" target="_blank">Play in new window</a> |<a href="https://www.listennotes.com/podcasts/humain-podcast-artificial-intelligence-data-fBRret2PTiU/" rel="nofollow" target="_blank"> </a><a href="https://www.listennotes.com/podcasts/humain-podcast-artificial-intelligence-data-fBRret2PTiU/" rel="nofollow" target="_blank">Download</a>Subscribe:<a href="https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5yZWRjaXJjbGUuY29tLzk5MTEzZjI0LTJiZDEtNDMzMi04Y2QwLTMyZTA1NTZjOGJjOQ" rel="nofollow" target="_blank"> </a><a href="https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5yZWRjaXJjbGUuY29tLzk5MTEzZjI0LTJiZDEtNDMzMi04Y2QwLTMyZTA1NTZjOGJjOQ" rel="nofollow" target="_blank">Google Podcasts</a> |<a href="https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS" rel="nofollow" target="_blank"> </a><a href="https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS" rel="nofollow" target="_blank">Spotify</a> |<a href="https://www.stitcher.com/show/humain" rel="nofollow" target="_blank"> </a><a href="https://www.stitcher.com/show/humain" rel="nofollow" target="_blank">Stitcher</a> | <a href="https://tunein.com/podcasts/Technology-Podcasts/HumAIn-p1224678/" rel="nofollow" target="_blank">TuneIn</a> | <a href="https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9" rel="nofollow" target="_blank">RSS</a>Alberto Todeschini is a Faculty director, consultant and lecturer in artificial intelligence. He has supervised over 150 projects covering a wide variety of industries and techniques, with a special focus on sustainability in energy and water. He also works with the University of California, Berkeley, GetSmarter, and aivancity. Episode Links:  Alberto Todeschini’s LinkedIn: <a href="https://www.linkedin.com/in/atodeschini/" rel="nofollow" target="_blank">https://www.linkedin.com/in/atodeschini/</a> Alberto Todeschini’s Twitter:  Alberto Todeschini’s Website:  <a href="https://www.ischool.berkeley.edu/people/alberto-todeschini" rel="nofollow" target="_blank">https://www.ischool.berkeley.edu/people/alberto-todeschini</a> Podcast Details: Podcast website: <a href="https://www.humainpodcast.com/" rel="nofollow" target="_blank">https://www.humainpodcast.com</a>Apple Podcasts: <a href="https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009" rel="nofollow" target="_blank"> </a><a href="https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009" rel="nofollow" target="_blank">https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009</a>Spotify: <a href="https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS" rel="nofollow" target="_blank"> </a><a href="https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS" rel="nofollow" target="_blank">https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS</a>RSS: <a href="https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9" rel="nofollow" target="_blank">https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9</a>YouTube Full Episodes: <a href="https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag" rel="nofollow" target="_blank">https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag</a>YouTube Clips: <a href="https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videos" rel="nofollow" target="_blank"> </a><a href="https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videos" rel="nofollow" target="_blank">https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videos</a>Support and Social Media:  – Check out the sponsors above, it’s the best way to support this podcast– Support on Patreon: <a href="https://www.patreon.com/humain/creators" rel="nofollow" target="_blank">https://www.patreon.com/humain/creators</a>– Twitter: <a href="https://twitter.com/dyakobovitch" rel="nofollow" target="_blank"> </a><a href="https://twitter.com/dyakobovitch" rel="nofollow" target="_blank">https://twitter.com/dyakobovitch</a>– Instagram:<a href="https://www.instagram.com/humainpodcast/" rel="nofollow" target="_blank"> </a><a href="https://www.instagram.com/humainpodcast/" rel="nofollow" target="_blank">https://www.instagram.com/humainpodcast/</a>– LinkedIn: <a href="https://www.linkedin.com/in/davidyakobovitch/" rel="nofollow" target="_blank">https://www.linkedin.com/in/davidyakobovitch/</a>– Facebook: <a href="https://www.facebook.com/HumainPodcast/" rel="nofollow" target="_blank">https://www.facebook.com/HumainPodcast/</a>– HumAIn Website Articles:<a href="https://www.humainpodcast.com/blog/" rel="nofollow" target="_blank"> </a><a href="https://www.humainpodcast.com/blog/" rel="nofollow" target="_blank">https://www.humainpodcast.com/blog/</a>Outline: Here’s the timestamps for the episode: (00:00) – Introduction(01:59) – Cultural difference in cultural attitudes about privacy and concerns that exist in some locations in Asia(02:51) – Difference in attitudes to freedom of speech in Europe and in the US: Americans value freedom of speech less, and it's something similar with privacy. To take privacy seriously on a global level we need to talk to people from around the world and understand that population density, economic growth, and other factors are very important(05:27) – One of the challenges about AI being merged into business is interpretability. If you can't interpret and explain your algorithms to your investors, you may have a hard time. You may choose something that works a little less well, but it is a lot easier to interpret(10:13) – There's a certain technical proficiency that doesn't have to be extraordinary. Involving the experts to solve real problems(14:56) – The dangers of AI. Weaknesses in classification systems susceptible to attacks, either by misfire or potentially more vicious. We are moving into a world with hundreds of millions, billions of gadgets that do machine learning in houses, in hospitals, on army bases(21:01) – Generative Adversarial Networks and a way to be protected from attacks(25:45) – Fake News.We are not going to be able to trust our unaided human consensus with anything that comes to us digitally(29:43) – There's more time and ability allowing us it's increasingly feed different types of data into a single system. That's why the overall system works better to feed different modalities of texts into data, into our algorithms and for users, it will get richer products and richer experiences(34:03) – Augmented human intelligence. Creating experiences where data science and machine-driven learning is able to augment user experience and create better solutions for society Advertising Inquiries: <a href="https://redcircle.com/brands" rel="nofollow" target="_blank">https://redcircle.com/brands</a> Privacy &amp; Opt-Out: <a href="https://redcircle.com/privacy" rel="nofollow" target="_blank">https://redcircle.com/privacy</a>

What You can Do to Reduce the Dangers of AI with Alberto Todeschini