Podcasts about gnn

Roy L Hales/ Cortes Currents - While she recognizes DRIPA as a valuable document, MLA Anna Kindy recently informed the SRD Board that she does not support ‘article 26.' The topic came up when she took part in the May 26 Board meeting.  Kindy began by stating, “ Part of the reason I'm here is to actually learn how things are run.  I'm not going to pretend I know everything, far from it.  It's a steep learning curve, but my motivation is to truly represent my constituents. I ran for a party, but I'm apolitical now that I am an MLA,  I just look at issues separately and try to bring people's voices to the legislature, to whoever it needs to be brought to.  I'm not a public speaker by nature, but I do answer questions very readily, so I'm just going to pass it over to you guys if you have any questions." Regional Director Mark Vonesch, of Cortes Island, responded,  “My question is about Declaration on the Rights of Indigenous People's Act (DRIPA). During the election, your leader spoke about dropping it and since then, members of your party have denied the graves that have been found in some residential schools. That's raised a lot of concern and I'm just wondering if you could comment on that.” Anna Kindy:  “Okay, first of all, let's go back to the first question, DRIPA. You have to look at unintended consequences of every bill that passes. UNDRIP is from the United Nation and we are the only, and I will repeat the only jurisdiction worldwide that has adopted it word per word (as DRIPA).” “Most of DRIPA is fine, I'm a hundred percent for economic reconciliation. What we've done is terrible and we need to reconcile what we've done. It's about treaties, it's about economic reconciliation. What DRIPA does, if you look at section 26,  there's a question of what will be the private property rights of every British Columbian.” Article 26 1. Indigenous peoples have the right to the lands, territories and resources which they have traditionally owned, occupied or otherwise used or acquired. 2. Indigenous peoples have the right to own, use, develop and control the lands, territories and resources that they possess by reason of traditional ownership or other traditional occupation or use, as well as those which they have otherwise acquired. 3. States shall give legal recognition and protection to these lands, territories and resources. Such recognition shall be conducted with due respect to the customs, traditions and land tenure systems of the Indigenous peoples concerned. Anna KIndy:  “The entire aspect of crown land will be under the jurisdiction of 4% of the population potentially to make decisions and I am of the opinion that we all have equal rights. We are all Canadian.”  “Economic reconciliation means that we need to make sure that we lift First Nations out of poverty.  In this region, what that means is to support industries that are lifting them out of poverty. I'm an addiction doctor. If you look at the GNN nation (Gwa'sala-'Nakwaxda'xw Nations), they had 10 or 11 overdoses and suicides in a two month period in 2024. So this is urgent, I don't talk about semantics.” “The issue is section 26. This is in a democracy and we're an equal society, we all should have the same rights.” 

In this episode, Šimon Mandlík, a PhD candidate at the Czech Technical University will talk with us about leveraging machine learning and graph-based techniques for cybersecurity applications. We'll learn how graphs are used to detect malicious activity in networks, such as identifying harmful domains and executable files by analyzing their relationships within vast datasets. This will include the use of hierarchical multi-instance learning (HML) to represent JSON-based network activity as graphs and the advantages of analyzing connections between entities (like clients, domains etc.). Our guest shows that while other graph methods (such as GNN or Label Propagation) lack in scalability or having trouble with heterogeneous graphs, his method can tackle them because of the "locality assumption" – fraud will be a local phenomenon in the graph – and by relying on this assumption, we can get faster and more accurate results.

Thibaut Vidal, a professor at Polytechnique Montreal, specializes in leveraging advanced algorithms and machine learning to optimize supply chain operations. In this episode, listeners will learn how graph-based approaches can transform supply chains by enabling more efficient routing, districting, and decision-making in complex logistical networks. Key insights include the application of Graph Neural Networks to predict delivery costs, with potential to improve districting strategies for companies like UPS or Amazon and overcoming limitations of traditional heuristic methods. Thibaut's work underscores the potential for GNN to reduce costs, enhance operational efficiency, and provide better working conditions for teams through improved route familiarity and workload balance.

December 2024 proved to be a busy one for Viper, but not in regards to sitting down and playing games! So join him and the Discord audience for a recap of what they got up to in December 2024. TRACKLISTING: 00:00:00 Mario Kart 8 Deluxe - Booster Course Pass - DS Shroom Ridge 00:02:16 Zelda II: The Adventure of Link (Link no Boken) - Great Temple 00:03:26 Welcome to Viper's VGMture 00:09:54 Picross S - MEGA DRIVE & Master System Edition [Picross S - Mega Drive & Mark III Edition] - Title Screen 00:12:08 Detective Pikachu (Great Detective Pikachu) - Chapter 6: GNN 01 00:14:33 You're Listening to Viper's VGMture 00:28:15 STARBLADE arrange version - Engage in Single Combat 00:29:48 Kirby: Planet Robobot (Hoshi no Kirby Robobo Planet) - Complex · Laboratory 00:31:54 This is Viper's VGMture 00:38:46 Detective Pikachu (Great Detective Pikachu) - Chapter 9: Disarm the R Machine! 02 00:40:47 Shin Megami Tensei V: Vengeance - Battle -Qadištu- 00:45:20 Thanks for Listening! 00:49:00 Mega Man 2 (Rockman 2: Dr. Wily no Nazo) - Dr. Wily Stage 1

On this episode, GNN's Ryan Ballengee joins to recap 2024 and look forward to what's ahead in the year to come.

Imagine this line in the deepest voice possible: This…is Guys of a Certain Age. (GNN sounds better but Guys, Nerds and Nitwits doesn't quite hold up.)  If only the Guys could have had James Earl Jones voice the intro, surely the ad revenue would have moved into double digits.  Alas, the voice of Darth Vader and one of the most memorable actors of our day has passed, and the first half of the episode is dedicated to remembering the life and career of Mississippi native James Earl Jones.   No geeks.  No regrettables.  Just one of the coolest voices on the planet being discussed by three less cool, but highly respectful, voices.  And one of the highest GOCA Geek Index scores yet.   After the break, the mood changes a bit to a celebration of 85 years of Marvel.  Art, Jay and Robbie give their top moments of those 85 years, from the comics pages to the big screen, with a few plot twists thrown in to make it interesting.  Listen to this one as if JEJ was speaking it…and marvel.  

Join the Cantina Happy Hour crew as we remember the legendary screen/stage and award winning actor James Earl Jones. Join us live in the chat and let us know your thoughts on this iconic actor. Starting September 19th we will no longer be with GNN. You can find us on our new channel: https://www.youtube.com/@FeastofFandoms #jamesearljones #darthvader #cantinahappyhour

Join us for our final episode on GNN as we reflect on the past year, share exciting plans for the future, and break down 'The Acolyte' season finale.

Tim Echols and KC Boyce plan a trip for GA officials to Bay Area, and see technology and innovation at work. In the second half of the show, Tim appears with GNN's John Clark on Community Focus.

Knowledge Graphs (KGs) represent human-crafted factual knowledge in the form of triplets (head, relation, tail), which collectively form a graph. Question Answering over KGs (KGQA) is the task of answering natural questions grounding the reasoning to the information provided by the KG. Large Language Models (LLMs) are the state-of-the-art models for QA tasks due to their remarkable ability to understand natural language. On the other hand, Graph Neural Networks (GNNs) have been widely used for KGQA as they can handle the complex graph information stored in the KG. In this work, we introduce GNN-RAG, a novel method for combining language understanding abilities of LLMs with the reasoning abilities of GNNs in a retrieval-augmented generation (RAG) style. First, a GNN reasons over a dense KG subgraph to retrieve answer candidates for a given question. Second, the shortest paths in the KG that connect question entities and answer candidates are extracted to represent KG reasoning paths. The extracted paths are verbalized and given as input for LLM reasoning with RAG. In our GNN-RAG framework, the GNN acts as a dense subgraph reasoner to extract useful graph information, while the LLM leverages its natural language processing ability for ultimate KGQA. Furthermore, we develop a retrieval augmentation (RA) technique to further boost KGQA performance with GNN-RAG. Experimental results show that GNN-RAG achieves state-of-the-art performance in two widely used KGQA benchmarks (WebQSP and CWQ), outperforming or matching GPT-4 performance with a 7B tuned LLM. In addition, GNN-RAG excels on multi-hop and multi-entity questions outperforming competing approaches by 8.9--15.5% points at answer F1. 2024: Costas Mavromatis, G. Karypis https://arxiv.org/pdf/2405.20139

Get ready for the ultimate Dark Side Showdown! In Ep 38, we asked folks in GNN land their thoughts on the top 8 most powerful dark side users.  This list leads to a random seeding for an epic Dark Side Showdown! Who will reign supreme? Join us for the thrilling kickoff!

On episode 35 of CLL, Jonathan is joined by John Ambrose from the Geek News Now writing team. Ambrose has been a staff writer for GNN for Just about one year and he recently published his 100th article for the site. Ambrose has a lot of available spaces on his geeky bingo card and is launching a new project called “An Old Geek Watches” where he tries to catch up on the geeky things in media that he's missed up to this point in his life. He's starting to watch Star Trek from the very beginning to start to fill in those gaps. Jonathan wanted to bring Ambrose on to answer his questions about Trek and to find out what his awareness of the franchise consists of. 0:00 Introduction 3:00 HDYGTW 13:00 How'd You Start with GNN? 18:00 Wrestling Talk 21:15 Feature Discussion 58:15 Wrap Up & Outro Use my special link (https://zen.ai/QiFszFD-Mts8PuWhMGdOmA ) to save 30% off your first month of any Zencastr paid plan. Guest Information Twitter/X - @GeekNNAmbrose GNN Articles - https://www.geeknewsnow.net/index.php/author/john-ambrose/ Contact the Show: Twitter - @CLL_Pod TikTok - @CLLPod Facebook - www.facebook.com/LogsAndLightsabersPod Instagram - @cllpodcast Email: logslightsaberspod@gmail.com Apple Podcasts Link - Rate and Review! https://podcasts.apple.com/us/podcast/captains-logs-and-lightsabers/id1560069195 Spotify Link - Rate Us! https://open.spotify.com/show/0h44WzqUlc726aafvwwlD4 GNN Podcast Hub Spotify - Rate Us! https://open.spotify.com/show/79ErQ7hJGMBJEKdvsZt5Ij?si=7bJvHue9S4SNT1R8uw60og GNN Podcast Hub Apple Podcasts -Rate/Review https://podcasts.apple.com/us/podcast/geek-news-now-podcast-hub/id1516191190 Connect with Geek News Now YouTube (NEW PAGE) - www.youtube.com/@GeekNewsNowOfficial Twitter - @GNN_Home Facebook - Geek News Now Website - www.geeknewsnow.net  

X-Men 97 has dropped the first 2 episodes and the GNN crew is ready to share their thoughts. Drop and an let us know how you liked it. See you there Monday night Follow us for more great content! Website: https://www.geeknewsnow.net Facebook: https://www.facebook.com/GeekNewsNowOfficial Instagram: https://www.instagram.com/Geek_News_Now/ Twitter/X: https://twitter.com/GNN_Home Threads: https://www.threads.net/@geek_news_now TikTok: https://www.tiktok.com/@geek_news_now Podbean: https://geeknewsnow.podbean.com Itunes: https://podcasts.apple.com/us/podcast/geek-news-now-podcast-hub Amazon Music: https://music.amazon.com/podcasts/geek-news-now-podcast-hub Spotify: https://open.spotify.com/show/79ErQ7hJGMBJEKdvsZt5Ij Goodpods: https://goodpods.com/podcasts/geek-news-now-podcast-hub-253286 iHeart: https://www.iheart.com/podcast/338-geek-news-now-podcast-hub-125535253/  

This week, our “4 Questions Journalist Spotlight” focuses on Scott Kimbler, Executive Producer with the Georgia News Network! GNN is a network of more than 180 radio stations across Georgia, providing news content to their member stations.Important Things to Know About Scott:Coolest Thing About Scott: Has an extensive collection of jazz albums that he inherited from his grandfather, and radio is a family tradition for himFavorite Local Restaurant: Over the Top Burger in BufordLast Book Read: "The Execution of Willie Francis" by Gilbert KingFavorite Non-Work Hobby: MotorcyclingFavorite Local Getaway: Helen, GAFavorite Guilty Pleasure: '80s Hair MetalMitch's day job is providing public relations services, media training, and crisis communications, but he also operates Leff's Atlanta Media, an online database with contact info for thousands of Atlanta-based journalists, and Mitch's Media Match, a service that connects Atlanta journalists with local experts. ###

The Bad Batch has started off with what appears to be a stellar season and the GNN crew is ready to talk about it. Come and join the LIVE conversation as we discuss this latest episode. Follow us for more great content! Website: https://www.geeknewsnow.net Facebook: https://www.facebook.com/GeekNewsNowOfficial Instagram: https://www.instagram.com/Geek_News_Now/ Twitter/X: https://twitter.com/GNN_Home Threads: https://www.threads.net/@geek_news_now TikTok: https://www.tiktok.com/@geek_news_now Podbean: https://geeknewsnow.podbean.com Itunes: https://podcasts.apple.com/us/podcast/geek-news-now-podcast-hub Amazon Music: https://music.amazon.com/podcasts/geek-news-now-podcast-hub Spotify: https://open.spotify.com/show/79ErQ7hJGMBJEKdvsZt5Ij Goodpods: https://goodpods.com/podcasts/geek-news-now-podcast-hub-253286 iHeart: https://www.iheart.com/podcast/338-geek-news-now-podcast-hub-125535253/  

Journalists in Pakistan say they're under threat of abduction and even of being killed if they criticise the state authorities. Whoever is in power, legal action against journalists who've spoken out against the authorities is nothing new. Press freedom campaigners say that in 12 months 140 journalists were threatened or attacked with some saying that democracy itself is under attack. For Assignment Mobeen Azhar hears the allegations made by those who say they've been targeted to shut them up - allegations which the authorities deny.Archive: AAJ News, May 2023 GNN, February 2023, Naya Daur February 2022, GEO TV October 2022

Jim Collins is one of the leading biomedical engineers in the world. He's been elected to all 3 National Academies (Engineering, Science, and Medicine) and is one of the founders of the field of synthetic biology. In this conversation, we reviewed the seminal discoveries that he and his colleagues are making at the Antibiotics-AI Project at MIT.Recorded 5 February 2024, transcript below with audio links and external links to recent publicationsEric Topol (00:05):Hello, it's Eric Topol with Ground Truths, and I have got an extraordinary guest with me today, Jim Collins, who's the Termeer Professor of Medical Engineering at MIT. He also holds appointments at the Wyss Institute and the Broad Institute. He is a biomedical engineer who's been making exceptional contributions and has been on a tear lately, especially in the work of discovery of very promising, exciting developments in antibiotics. So welcome, Jim.Jim Collins (00:42):Eric, thanks for having me on the podcast.Eric Topol (00:44):Well, this was a shock when I saw your paper in Nature in December about a new structure class of antibiotics, the one from 1962 to 2000. It took 38 years, and then there was another one that took 24 years yours, the structural antibiotics. Before I get to that though, I want to go back just a few years to the work you did published in Cell with halicin, and can you tell us about this? Because when I started to realize what you've been doing, what you've been chipping away here, this was a drug you found, halicin, as I can try to understand, it works against tuberculosis, c. difficile, enterobacter that are resistant, acinetobacter that are resistant. I mean, this is, and this is of course in mice models. Can you tell us how did you make that discovery before we get into I guess what's called the Audacious Project?Jim Collins (01:48):Yeah, sure. It's actually a fun story, so it is origins go broadly to institute wide event at MIT, so MIT in 2018 launched a major campus-wide effort focused on artificial intelligence. The institute, which had played a major role in the first wave of AI in the 1950s, 1960s, and a major wave in the second wave in the 1980s found itself kind of at the wheel in this third wave involving big data and deep learning and looked to correct that and to correct it the institute had a symposium and I had the opportunity to sit next to Regina Barzilay, one of our faculty here at MIT who specializes in AI and particularly AI applied to biomedicine and we really hit it off and realized we had interest in applying AI to drug discovery. My lab had focused on antibiotics to then close to 15 years, but primarily we're using machine learning and network biology to understand the mechanism of action of antibiotics and how resistance arise with the goal of boosting what we already had, with Regina we saw there was an opportunity to see if we could use deep learning to get after discovery.(02:55):And notably, as you kind of alluded in your introduction, there's really been a discovery void and the golden age of discovery antibiotics was in the forties, fifties and sixties before I was born and before you had the genomic revolution, the biotech revolution, AI revolution. Anyways, we got together with our two groups, and it was an unfunded project and we kind of cobbled together very small training set of 2,500 compounds that included 1,700 FDA approved drugs and 800 natural compounds. In 2018, 2019, when you started this, if you asked any AI expert should you initiate that study, they would say absolutely not, there's going to be two big data. The idea of these models are very data hungry. You need a million pictures of a dog, a million pictures of a cat to train a model to differentiate between the cat and the dog, but we ignored the naysayers and said, okay, let's see what we can do.(03:41):And we apply these to E. coli, so a model pathogen that's used in labs but is also underlies urinary tract infections. So it's a look to see which of the molecules inhibited growth of the bacteria as evidence for antibacterial activity and we could have measured and we quantified each of their effects, but because we had so few compounds, we just discretized instead, if you inhibited at least 80% of the growth you were antibacterial, and if you didn't achieve that, you weren't antibacterial zero in ones. We then took the structure of each molecule and trained a deep learning model, specifically a graphical neural net that could look at those structures, bond by bond, substructure by substructure associated with whatever features you look to train with. In our case, making for good antibiotic, not for good antibiotic. We then took the train model and applied it to a drug repurposing hub as part of the Broad Institute that consists of 6,100 molecules in various stages of development as a new drug.(04:40):And we asked the model to identify molecules that can make for a good antibiotic but didn't look like existing antibiotics. So part of the discovery void has been linked to this rediscovery issue we have where we just keep discovering quinolones like Cipro or beta-lactams like penicillin. Well, anyways, from those criteria as well as a small tox model, only one molecule came out of that, and that was this molecule we called halicin, which was named after HAL, the killing AI computer system from 2001 Space Odyssey. In this case, we don't want it to kill humans, we want it to kill bacteria and as you alluded, it turned out to be a remarkably potent novel antibiotic that killed off multi-drug resistant extensively drugs, a pan-resistant bacteria went after to infections. It was affected against TB, it was affected against C. diff and acinetobacter baumannii and acted to a completely new mechanism of action.(05:33):And so we were very excited to see how AI could open up possibilities and enable one to explore chemical spaces in new and different ways. We took them model, then applied it to a very large chemical library of 1.5 billion molecules, looked at a subset of about 110 million that would be impossible for any grad student, any lab really to look at that experimentally but we looked at it in a model computer system and in three days could screen those 110 million molecules and identified several new additional candidates, one which we call salicin, which is the cousin of halicin that similes broad spectrum and acts to a novel mechanism of action.Eric Topol (06:07):So before we go further with this initial burst of discovery, for those who are not used to deep neural networks, I think most now are used to the convolutional neural network for images, but what you use specifically here as you alluded to, were graph neural networks that you could actually study the binding properties. Can you just elaborate a little bit more about these GNN so that people know this is one of the tools that you used?Jim Collins (06:40):Yeah, so in this case, the underlying structure of the model can actually represent and capture a graphical structure of a molecule or it might be of a network so that the underlying structure itself of the model will also look at things like a carbon atom connects to an oxygen atom. The oxygen atom connects to a nitrogen atom and so when you think back to the chemical structures we learned in high school, maybe we learned in college, if we took chemistry class in college, it was actually a model that can capture the chemical structure representation and begin to look at sub aspects of it, associating different properties of it. In this case, again, ours was antibacterial, but it could be toxic, whether it's toxic against a human cell and the model, the train model, the graph neural model can now look at new structures that you input them and then make calculations on those bonds so a bond would be a connection between two atoms or substructures, be multiple bonds, interconnecting multiple atoms and assign it a score. Does it make, for example, in our case, for a good antibiotic.Eric Topol (07:48):Right. Now, what's also striking as you set up this collaboration that's interdisciplinary with Regina, who I know of her work through breast cancer AI and not through drug discovery and so this was, I think that new effort and this discovery led to this, I love the name of it, Audacious Project, right?Jim Collins (08:13):Right. Yeah, so a few points on the collaboration then I'll speak to Audacious Project. In addition to Regina, we also brought in Tommi Jaakkola, another AI faculty member and marvelous colleague here at MIT and really we've benefited from having outstanding young folks who were multilingual. We had very rich, deep trained grad students from ML on Regina and Tommi's side who appreciated the biology and we had very richly, deeply trained postdocs, Jon Stokes in particular from the microbiology side on my side, who could appreciate the machine learning and so they could speak across the divide. And so, as I look out in the next few decades in this exciting time of AI coming into biomedicine, I think the groups will make a difference of those that have these multilingual young trainees and two who are well set up to also inject human intelligence with machine intelligence.(09:04):Brings the Audacious Project. Now, prior to our publication of halicin, I was invited by the Audacious Project to submit a proposal, the Audacious Project is a new philanthropic effort run by TED, so the group that does the TED Talks that's run by Chris Anderson, so Chris had the idea that there was a need to bring together philanthropists around the world to go for a larger scale in a collective manner toward audacious projects. I pitched them on the idea that we could use AI to address the antibiotic resistance crisis. As you can appreciate, and many of your listeners can appreciate that we're doomed if we don't actually address this soon, in that the number of resistance strains that are in our communities, in our hospitals has been growing decade upon decade, and yet the number of new antibiotics being developed and approved has been dropping decade upon decade largely because the antibiotic market is broken, it costs just as much to develop an antibiotic as it does a cancer drug or a blood pressure drug.(09:58):But antibiotic you take once or maybe over the course of three to five days, blood pressure, drug cancer drug you might take for months if not for the rest of your life. Pricing points for antibiotics are small dollars, cancer drugs, blood pressure drugs, thousands if not hundreds of thousands. We pitched this idea that we can maybe turn to AI and use the power of AI to address this crisis and see if we could use our wits to outcompete the genes of superbugs and Chris and his team really were taken with this, and we worked with them over the course of nine months and learned how to make the presentations and pulled this together. Chris took our pitches to a number of really active and fantastic philanthropists, and they got behind us and gave us a good amount of money to launch what we have now called the Antibiotics-AI Project at MIT and in conjunction with it and also using funding from the Audacious Project, we've launched a nonprofit called Phare Bio which is French for lighthouse, so our notion is that antibiotics are public good that we need to get behind his community and Phare Bio, which is run by Akhila Kosaraju, she's the CEO and President, is the mission of which is to take the most promising molecules out of the antibiotics AI project and advance them towards the clinic through partnerships with biotech, with pharma, with other nonprofits, with nation states as needed.Eric Topol (11:18):Well, before I get to the next chain of discovery and as explain ability features, which we all like to see when you can explain stuff with AI, did halicin because of this remarkable finding, did it get into clinical trials yet?Jim Collins (11:36):It's being advanced quite nicely and aggressively by Phare Bio. So Phare Bio is in discussions with the Department of Defense and BARDA, and actually on an interesting feature of halicin is that it acts like a flash bomb in the gut, meaning that when delivered orally to the gut, it only acts briefly and very quickly in a fairly narrow spectrum manner as well, so that it can go after pathogens sparing the commensals. One of the challenges our US military face is one of the challenges many militaries face are gut issues when soldiers are first deployed to a new location, and it can disable the soldiers for three to four weeks. And so, there's a lot of excitement that halicin might be effective as a treatment to help prevent gut dysbiosis resulting from new deployments.Eric Topol (12:27):Oh wow. That's another application that I would never have thought of. Interesting, so you then moved on to this really big report in Nature, which I think this is now involving a transformer model as I recall. So you can explain the difference and you made a discovery from a massive, again, number of potential compounds to staph aureus resistant methicillin resistant agents that were very potent in vivo. So how did you make this big jump? This is a whole new structural class of antibiotics.Jim Collins (13:11):Yeah, so we made this jump, this was an effort led by Felix Wong, who's a really talented postdoc in my lab, and we got intrigued of to what extent could we expand the utility of AI and biology of medicine. As you can appreciate that, that many of our colleagues are underwhelmed by the black box nature of many AI models and by black box I mean that when you train your model, you then largely use it as a filter where you'll provide the model with some input. You look at the output and the outputs, what's of interest to you, but you don't really understand in most cases, what guided the model to make the prediction of the output that you look at and that can be very unsatisfactory for biology, interested in mechanism. It can be very unsatisfactory for physicians interested in understanding the underlying disease mechanism.(13:57):It can be unsatisfactory for biotech and drug discoveries that want to understand how drugs act and what maybe underlies meaningful structural features. So with Felix, we decided it'd be interesting if you could open up the box. So could you look inside the model to see what was being learned? We are able to open up, in this case actually, we primarily focused on graph neural nets. We now have a new piece we're just about to submit on transformers, but in this case, we could open up and look to see what were the rationales, what were the chemical substructures that the model was pointing to in each compound that was leading to the high prediction that it could make for a good antibiotic and these rationales we then used as hooks, I should notably say, that we were able to identify the rationales from these large collections using algorithms that would develop by DeepMind as part of their AlphaGo program.(14:51):So AlphaGo was developed by DeepMind as a deep learning platform to play and win go the ancient Asian board game and we used similar approaches called Monte Carlo Tree Search that allowed us to identify these rationales that we effectively then used as hooks and kind of organizing hooks on screens where you can envision or appreciate that most exposed screens give you one-offs. This molecule does what you want and silico screens are similarly designed with these rationales. We could use them as organizing hooks to say, ah, these compounds that are identified as making for very good antibiotics all have the same substructure and thus they likely in the same class and act in similar mechanism and this led us to identify five novel classes, one of which we highlighted in this piece that acts very effectively against MRSA, so methicillin-resistant staph aureus you alluded, which is probably the most famous of the antibiotic resistant pathogens that we even outside infectious are quite familiar with. It be devil's athletes, so NFL players are often hit with MRSA, whether from scraping their limbs on AstroTurf or from actually surgeries to say, for example, correct something at their knee. This new class had great efficacy in animal models, again, acting through a new mechanism.Eric Topol (16:12):Will you bring that forward like halicin through this same entity?Jim Collins (16:17):Yes. We've now provided the molecules to Phare Bio and they're digging in to see which of these might be the most exciting and interesting to advance clinically.Eric Topol (16:26):I mean, it's amazing because this area is so neglected. Maybe you can help explain, since we're talking about existential threats as we get more and more resistant antibiotics and the biopharma industry is basically not into this and it relies on the work that you've been doing perhaps or other groups, I don't know of any that are doing more than you. I mean, it's incredible to me. Is it just because of the financial aspects that there's no business in the life science industry?Jim Collins (17:03):It's an interesting challenge. So I've thought about it. I really haven't come up with a great solution yet, but I think you've got multiple factors at play. One is that I think all of us, every one of your listeners has lost someone to a bacterial infection, but in most cases you don't realize you lost them to a bacterial infection. It might be that your elderly relative went into the hospital with a condition but acquired hospital-based infection and died subsequently from that and happened quite quickly. Another cases, again, it's secondary. Notably, during the pandemic, one out of seven individuals hospitalized for Covid had a bacterial infection and 50% of those who died had a bacterial co-infection. And noted by going back to the Spanish flu of over a hundred years ago. It was as deadly as it was because we didn't have antibiotics and most of the folks that died had a bacterial co-infection.(17:56):So you have this in the backdrop, you then have that, nobody's kind of gotten behind it, so we don't have any major foundation addressing antibiotic resistance. There are no charity walks, there are no charity runs, there is no month, there is no color, there are no ribbons, there are no celebrity behind it, there's just not known so it hasn't captured the public's imagination. AThen you come with that, this backdrop of the broken market where I said shared, it's really expensive to develop a new antibiotic, but if you develop a new antibiotic, the tendency now will be to shelve it until it's desperate so now even the young companies that had developed and gotten an antibiotic through to approval often went bankrupt because the model, the market couldn't provide them with revenue to go after the next one or sustain their efforts. And so you have pharma biotech jumping out. I think we need two-pronged effort going forward. I do think we need nation states to come forward and get behind this, and I think we increasingly need philanthropists to come forward and go after it. As I share your term of existential threat, I think if you speak with most educated individuals, antibiotic resistance broadly, antimicrobial resistance will be on everyone's existential threat list but notably of that list, it's the cheapest one that can be solved.Eric Topol (19:09):Well, you're showing that you've got the most extraordinary candidates that have been found in decades. So that says a lot right there.Jim Collins (19:18):Important step, yeah. So I think we've got additional innovation needed in the models to address this, and until we have that address, then this interesting discoveries we and others are making will not get to patients. So we need to have that additional next step to close this gap.Eric Topol (19:32):Now, obviously this has relied on AI and the progress that's occurring in AI to enable some of your work. I am fascinated by the use of AlphaGo. Most times we hear about using AlphaFold2, but you actually use AlphaGo the original game DeepMind work but there also was the progress of from deep neural networks to transformer models and your ability now to basically exemplify what can be achieved in drug discovery using the progress in multimodal AI. Is this something that is making a difference for you and your group?Jim Collins (20:13):It is, it's huge. I think it's very early in terms of the introduction to these new tools extensively within drug discovery. Machine learning has been used for over two decades, both supervised learning and unsupervised learning. Now we're seeing groups coming in for the deep learning efforts. It's largely data-driven so in fact, with the exception of sequences, most of drug discoveries not yet big data in the big data phase, but it's beginning to change. It's truly been transformative for us, so we've used graph neural nets primarily for our discovery efforts. We're now beginning to incorporate language models as multimodal models along with the graph neural nets as well as to see to what extent pre-trained language models. For example, mobile form from IBM, which was trained on PubChem and the ZINC database could be fine-tuned with small amounts of training data, screening data from a resistant organism.(21:06):Third, and I made an indirect allusion already, we've been looking at using transformers and genetic algorithms in older form of AI tech for design of novel antibiotics so we've been now looking to see using fragments as a starting base, using trained models to build out novel antibiotics that can then be de novo designed. One of the big challenges in that space is how do you synthesize these molecules? So you have both the challenge of can you come up with a small number of steps that enable you to synthesize? And second is could you find somebody to synthesize them? And each of those remains very big challenges. My faculty colleague here at MIT, Connor Coley's probably one of the world leaders, easily, he's in using AI to calculate the synthesized ability of a molecule, but we still have gaps in that we don't have the community resources to make most of what we come up with.Eric Topol (21:58):Well, one of the features of large language models that David Baker at the Protein Design Institute exploited is its ability to hallucinate and come up with proteins that don't exist. Can you do the same thing in your design of antibiotic candidate molecules in a way that is not worrying about the synthesis, but just basically the hallucinatory behavior of large language models?Jim Collins (22:28):It's interesting, so yes and so David's work is marvelous and we're big fans and longtime friends of his work. Yes, so we've been driving these models truly to do de novo synthesis. So based on what has been learned, can you put together molecules that one's never seen before? We're doing it quite successfully. It becomes interesting from the hallucination in that it comes out really more of these models making stuff up and ours it's really more directing the hallucinations, right? Really looking to see can we harness the imagination of the models in order to move them forward in very creative design manners.Eric Topol (23:08):Yeah, I mean, I think most people have a negative connotation of hallucinations, but these are the smart variety potentially. This in many ways you could say there's so much crowded interest in the drug discovery AI world, but what you're doing now seems to be setting the pace in many respects for others to follow such remarkable advances in a short time. By the way, we'll link to that TED talk you gave in April 2020, where in seven minutes you went over what you're doing of course and who would've, and that was in 2020 that where you'd be three or four years later, and that was what you're going to do over the next seven years with seven new classes of new antibiotics. Now, before we wrap up, it isn't just that you're an AI antibiotic, you and your team antibiotic discover and doing compressing in time, what has taken decades that you're doing in months, but also you are a father of figure in the field of synthetic biology and I wonder if you, before we wrap up, can explain not only what synthetic biology is since a lot of people don't really know what that means, but how does that dovetail with your efforts in what we've been discussing?Jim Collins (24:33):Yeah, thanks. So synthetic biology is a relatively new field that's bringing together engineers with biologists to use engineering principles to model design and build synthetic gene networks and other molecular components that can be used to rewire and reprogram living cells and cell-free systems, endowing them with novel functions of a variety of applications. So the circuits, these programmable cells are impacting broad swats of the economy from food and water to health and sustainability of bioenergy to human health. Our focus is primarily human health and we've been advancing the idea that you can reprogram bacteria to detect and treat bacterial infections. So we've shown you can use this to go after cholera, we've shown you can use is to prevent antibiotic induced gut dysbiosis. We've also used synthetic biology to create whole new classes of diagnostics. For example, paper-based ones using RNA sensors for Ebola, for Zika and for Covid.(25:33):How it dovetails with what we talked about is that I think there's a great opportunity now to turn to AI to expand synthetic biology, both expanding the number of parts we have to re-engineer living systems as well as to better infer design principles that can be used to reprogram rewire living systems. We're beginning to advance, we're not yet at the SynBio AI project phase, but very early efforts and David's dominating the protein space and we and others are beginning to now movement to the RNA space. So to what extent can we create large libraries of RNA components, train language-based models, structure-based models that can both predict RNA structure more critically predict RNA function and as you know from your marvelous work and what's happening is that it's the exciting age of RNA of getting after RNA therapeutics, be it mRNA or CRISPR related and we still need to get better at our ability to design those therapeutics with certain functions in mind, and we think AI is going to help get us there faster.Eric Topol (26:34):Well, speaking of that, there was a paper this week in Cell by McCafferty and colleagues, and one of the sentences that struck me, we are standing on the cusp of a new era of biology, where the integration of multimodal structural datasets with multiscale physics-based simulation will enable the development of visible, virtual cells. This is yet another lineage or direction of where we're headed with AI, but this fusion of the advances that are occurring right now in biology with AI that extend in many different directions, it's so exciting and you are basically nailing it. I mean, you're putting points on the board, Jim, and I just have to say, I'm blown away by what you've been accomplishing in a time space that's so incredibly compressed.Jim Collins (27:40):Oh, well thanks. Well, you think back to the early days of molecular biology and physicists like Francis Crick and Max Delbrück played huge pioneering roles and then in the second wave in the eighties or so, you had other physicists like Walter Gilbert playing big roles. I do think physicists computer scientists are starting now to play big roles in this next phase where we need tools like AI in order to really grapple with and harness the complexity, both the biology and the chemistry that underlies living cells. They can kind of expand our intuitions both to understand and to really control these systems for good going forward.Eric Topol (28:15):Well, you're doing it and we're be cheering for the success of these drugs that you've come up with in the clinical trials as they go forward because they look so remarkably promising. You even highlighted ways that I wouldn't have envisioned where they could make a difference, so we'll follow your work, you and your colleagues with great interest. Thanks so much for joining,Jim Collins (28:37):Eric, thanks for having me. Enjoyed our conversation.******************************************************************************Thanks for listening to Ground Truths. Please share if you found this podcast informative.Full video interview will post here Get full access to Ground Truths at erictopol.substack.com/subscribe

It's that time again... time to put together our wishlist roster for the ideal Thrawn epic. Join John and Garret - with special guest GNN's own John Ambrose - as they put together this casting calls for a 90's film adaptation of Timothy Zahn's "Heir to the Empire" trilogy. Who would you have picked? Did any of our choices make your list? Follow us for more great content! Website: https://www.geeknewsnow.net Facebook: https://www.facebook.com/GeekNewsNowOfficial Instagram: https://www.instagram.com/Geek_News_Now/ Twitter/X: https://twitter.com/GNN_Home Threads: https://www.threads.net/@geek_news_now TikTok: https://www.tiktok.com/@geek_news_now Podbean: https://geeknewsnow.podbean.com Itunes: https://podcasts.apple.com/us/podcast/geek-news-now-podcast-hub Amazon Music: https://music.amazon.com/podcasts/geek-news-now-podcast-hub Spotify: https://open.spotify.com/show/79ErQ7hJGMBJEKdvsZt5Ij Goodpods: https://goodpods.com/podcasts/geek-news-now-podcast-hub-253286 iHeart: https://www.iheart.com/podcast/338-geek-news-now-podcast-hub-125535253/    

The Defenders Saga rages on and the GNN crew is here to talk about it. Join us in our LIVE conversation and let us know you're thoughts. Follow us for more geek content! Website: https://www.geeknewsnow.net Facebook: https://www.facebook.com/GeekNewsNowOfficial Instagram: https://www.instagram.com/Geek_News_Now/ Twitter/X: https://twitter.com/GNN_Home Threads: https://www.threads.net/@geek_news_now TikTok: https://www.tiktok.com/@geek_news_now Podbean: https://geeknewsnow.podbean.com Itunes: https://podcasts.apple.com/us/podcast/geek-news-now-podcast-hub Amazon Music: https://music.amazon.com/podcasts/geek-news-now-podcast-hub Spotify: https://open.spotify.com/show/79ErQ7hJGMBJEKdvsZt5Ij Goodpods: https://goodpods.com/podcasts/geek-news-now-podcast-hub-253286 iHeart: https://www.iheart.com/podcast/338-geek-news-now-podcast-hub-125535253/  

Kristen Howard, Author of the Home Sweet Home book series, joins Jim and Pam for this week's GNN. Each day Kristen will share a story from Book 3 of the series to whet your appetite for the entire series. All three are available at Amazon. Get Book 3 by clicking the link below. https://www.amazon.com/Home-Sweet-Book-Three/dp/B0CJLCLTJM/ref=sr_1_4?crid=3KU70PVTHOTY6&keywords=home+sweet+home+kristen+howard&qid=1699372592&sprefix=home+sweet+home+krs%2Caps%2C143&sr=8-4 Latin American Ministry is non-profit, and your donations are tax-deductible. To donate now, click the following link: http://latinamericanministry.org/donate-now 
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Kristen Howard, Author of the Home Sweet Home book series, joins Jim and Pam for this week's GNN. Each day Kristen will share a story from Book 3 of the series to whet your appetite for the entire series. All three are available at Amazon. Get Book 3 by clicking the link below. https://www.amazon.com/Home-Sweet-Book-Three/dp/B0CJLCLTJM/ref=sr_1_4?crid=3KU70PVTHOTY6&keywords=home+sweet+home+kristen+howard&qid=1699372592&sprefix=home+sweet+home+krs%2Caps%2C143&sr=8-4 Latin American Ministry is non-profit, and your donations are tax-deductible. To donate now, click the following link: http://latinamericanministry.org/donate-now 
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Kristen Howard, Author of the Home Sweet Home book series, joins Jim and Pam for this week's GNN. Each day Kristen will share a story from Book 3 of the series to whet your appetite for the entire series. All three are available at Amazon. Get Book 3 by clicking the link below. https://www.amazon.com/Home-Sweet-Book-Three/dp/B0CJLCLTJM/ref=sr_1_4?crid=3KU70PVTHOTY6&keywords=home+sweet+home+kristen+howard&qid=1699372592&sprefix=home+sweet+home+krs%2Caps%2C143&sr=8-4 Latin American Ministry is non-profit, and your donations are tax-deductible. To donate now, click the following link: http://latinamericanministry.org/donate-now 
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Kristen Howard, Author of the Home Sweet Home book series, joins Jim and Pam for this week's GNN. Each day Kristen will share a story from Book 3 of the series to whet your appetite for the entire series. All three are available at Amazon. Get Book 3 by clicking the link below. https://www.amazon.com/Home-Sweet-Book-Three/dp/B0CJLCLTJM/ref=sr_1_4?crid=3KU70PVTHOTY6&keywords=home+sweet+home+kristen+howard&qid=1699372592&sprefix=home+sweet+home+krs%2Caps%2C143&sr=8-4 Latin American Ministry is non-profit, and your donations are tax-deductible. To donate now, click the following link: http://latinamericanministry.org/donate-now 
Contact information: LatinAmericanMinistry.org 

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Kristen Howard, Author of the Home Sweet Home book series, joins Jim and Pam for this week's GNN. Each day Kristen will share a story from Book 3 of the series to whet your appetite for the entire series. All three are available at Amazon. Get Book 3 by clicking the link below. https://www.amazon.com/Home-Sweet-Book-Three/dp/B0CJLCLTJM/ref=sr_1_4?crid=3KU70PVTHOTY6&keywords=home+sweet+home+kristen+howard&qid=1699372592&sprefix=home+sweet+home+krs%2Caps%2C143&sr=8-4 Latin American Ministry is non-profit, and your donations are tax-deductible. To donate now, click the following link: http://latinamericanministry.org/donate-now 
Contact information: LatinAmericanMinistry.org 

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Email: jim@latinamericanministry.org or laministry@yahoo.com  

First came the web ad. Then came the ad blocking software. What is the history of ad blocking? What challenges does it create for industry, and what services does it provide beyond, you know, blocking all those pesky ads? We get into it!See omnystudio.com/listener for privacy information.

It's a GnN episode filled with fun facts, video games and random Discord questions. Thank you community for the Discord questions.  As always, we have a blast when our friends are on the show.  I really hope you enjoy this episode.  We had a lot of fun kicking it with Ghost and Nessi. Thanks for supporting the show! OMG we have a Discord! https://discord.gg/SYvh5jvsSH  Email Us PotatoThumbsPodcast@Gmail.com  Twitter https://twitter.com/PotatoThumbs  https://twitter.com/FluffyFingersMD  https://twitter.com/AdmiralNips  IG https://www.instagram.com/fluffyfingersmd  Spotify Playlists Day 1 Playlist https://open.spotify.com/playlist/3u37PzeFv04b3z6Uq5voCO?si=3c52ad41c94348a1  Day 2 Playlist https://open.spotify.com/playlist/65jrMS8NSxNW5I9IG27drM?si=500a009043b74a17  Day 3 Playlist https://open.spotify.com/playlist/2B3PydCdAhKvhdKfqssRIK?si=6d9adeba01d946eb  Day 4 Playlist https://open.spotify.com/playlist/3R7SI6NNuWw1UPJ2bwN0sk?si=644ac043acb34d7b 

Geek News Now is “FUELED BY THE FANS” and Captains' Logs and Lightsabers Podcast is too! On Star Trek Day, September 8, Geek News Now posted a photo asking YOU to react to your favorite Starfleet captain. The post was notably missing one Captain Benjamin Sisko and y'all let us know it! There were hundreds of comments asking about Sisko, so seeing as how Star Trek is kinda our thing, the hosts of CLL decided to get together and pick their favorite Sisko episodes and the things that we feel make Sisko a unique personality and a wonderful Starfleet captain! We brought back John Mark Tolly from the GNN shows War of the Stars: A Star Wars Podcast and Star Wars Through The Eyes of a Child to wax poetic about the inimitable Benjamin Sisko! EVERY ORDER 20% Off Mad Rabbit Tattoo Care!! https://sldr.page.link/GdXZ BOTH WAR OF THE STARS, THE GEEK GAUNTLET PODCAST, AND STAR WARS THROUGH THE EYES OF A CHILD ARE FOUND AT THE GNN LINKS BELOW! LIKE & SUBSCRIBE EVERYWHERE GNN CAN BE FOUND! Contact the Show: Twitter - @CLL_Pod TikTok - @CLLPod Facebook - www.facebook.com/LogsAndLightsabersPod Instagram - @cllpodcast Email: logslightsaberspod@gmail.com Apple Podcasts Link - Rate and Review! https://podcasts.apple.com/us/podcast/captains-logs-and-lightsabers/id1560069195 Spotify Link - Rate Us! https://open.spotify.com/show/0h44WzqUlc726aafvwwlD4 GNN Podcast Hub Spotify - Rate Us! https://open.spotify.com/show/79ErQ7hJGMBJEKdvsZt5Ij?si=7bJvHue9S4SNT1R8uw60og GNN Podcast Hub Apple Podcasts -Rate/Review https://podcasts.apple.com/us/podcast/geek-news-now-podcast-hub/id1516191190 Connect with Geek News Now YouTube (NEW PAGE) - www.youtube.com/@GeekNewsNowOfficial Twitter - @GNN_Home Facebook - Geek News Now Website - www.geeknewsnow.net    

On this supersized episode of Captains' Logs and Lightsabers podcast, Chris and Jonathan are joined by fellow GNN A/V Club stars John Mark Tolly and Shah. Mark is the host of both War of the Stars: A Star Wars Podcast and Star Wars Through The Eyes of a Child. Shah is a regular co-host of The Geek Gauntlet Podcast and YouTube show live every Saturday night at 10:00 PM EST. The hosts and guests talk about their geeky exploits in HDYGTW, discuss their thoughts about Ahsoka episodes 1 and 2, and briefly cover some news. Then it's warp factor 5 into the brilliance that was Star Trek: Strange New Worlds Season 2 episode by episode. It's a SPOILER-FILLED discussion, listen along and then head to the GNN posts about the episode to sound off yourself on SNW Season 2! Your comment could be featured on a future episode of CLL Podcast! EVERY ORDER 20% Off Mad Rabbit Tattoo Care!! https://sldr.page.link/GdXZ BOTH WAR OF THE STARS, THE GEEK GAUNTLET PODCAST, AND STAR WARS THROUGH THE EYES OF A CHILD ARE FOUND AT THE GNN LINKS BELOW! LIKE & SUBSCRIBE EVERYWHERE GNN CAN BE FOUND! Contact the Show: Twitter - @CLL_Pod TikTok - @CLLPod Facebook - wwwTwitter - @CLL_Pod.facebook.com/LogsAndLightsabersPod Instagram - @cllpodcast Email: logslightsaberspod@gmail.com  

Meet the crew of the newest member of the GNN family. Who are they and what War of the Stars is all about.

The premier for the upcoming Ahsoka series is almost here. The GNN crew is here to discuss all things Ahsoka as we move towards the live action series. Come join us and be a part of the discussion. #ahsoka #ahsokatano #starwarstheclonewars #starwarsrebels #ahsokaseries #starwars #geeknewsnowofficial #cantinahappyhour #padawan #themandalorian #thebookofbobafett #darthvader #haydenchristensen #anakinskywalker #rosariodawson

The third episode of the Secret Invasion is out and the GNN crew is there to talk about it. Come and join us LIVE and tell us what you thought. Don't forget to join us on our new YouTube channel at 9:30 PM EST. www.youtube.com/@GeekNewsNowOfficial

Come hang out with the GNN crew as we talk about Mandalorian Season 1 Episode 2. Share your thoughts with us LIVE every night at 9:30 PM EST on our brand new YouTube channel!! YouTube Channel: www.youtube.com/@GeekNewsNowOfficial 

The Best Christian Podcast in the Metaverse Canary Cry News Talk #639 - 06.29.2023 - Recorded Live to Tape CENTAUR ALCHEMIST | RF Jacked Jr, Only Trump, Digital Equity, UN Robots, Malaria Gates Deconstructing Corporate Mainstream Media News from a Biblical Worldview We Operate Value 4 Value: http://CanaryCry.Support Join Supply Drop: http://CanaryCrySupplyDrop.com Submit Articles: http://CanaryCry.Report Join the Tee Shirt Council: http://CanaryCryTShirtCouncil.com Resource: Index of MSM Ownership (Harvard.edu) Resource: Aliens Demons Doc (feat. Dr. Heiser, Unseen Realm) All the links: http://CanaryCry.Party   This Episode was Produced By: Executive Producers Felicia D***   Producers Anonymous Jacob B Sir LX Protocol V2, Knight of the Berrean Protocol Julie S @PrgrssNtPrfctn James M Sir Scott Knight of Truth Dame Gail Canary Whisperer and Lady of X's and O's Sir Casey the Shield Knight Sir Morv Knight of the Burning Chariots Veronica D   CanaryCry.ART Submissions Modern Day Bible Study JonathanF JOLMS LittleOwen Sir Dove Knight of Rusbeltia   Microfiction Stephen S - From the CEO's office of GNN, “Boss, the media released a 15K word hit piece on you.”“Any news is good news;” he replied, “I want to know why my editors didn't publish it  first.”   CLIP PRODUCER Emsworth, FaeLivrin, Joelms, Laura   TIMESTAPERS Jade Bouncerson, Christine C, Pocojo, Morgan E   CanaryCry.Report Submissions JAM, Jen W, BrotherG   REMINDERS Clankoniphius   SHOW NOTES Podcast T - 5:30 (rumble) HELLO, RUN DOWN  9:53 V / 4:23 RFK jr/GUN CONTROL/PHARMAKEIA  12:20 V / 6:50 P RFK Jr comes out against gun control and blames school shootings on ‘drugs' (Indie Co UK) Newsweek, 2022: Mass Shootings and SSRI Meds Claims—What We Do and Don't Know Pub Med NIH, 2019: The myth of school shooters and psychotropic medications [Paywalled] Connecticut Gen. Assembly: Shiela Matthews, co-founder of Ablechild, link SSRI and violence  Telegraph UK, 2017: Antidepressants linked to murders, murderous thoughts (Telegraph UK) → Dr. William Reed profile (Wiki) → RFK Jr is Super Jacked (CNN)   DAY JINGLE/V4V/EXEC./supply  41:51 V / 36:21 P   FLIPPY  51:42 V / 46:12 P Meet the robots attending the UN's ‘AI for Good Global' summit (TNW)   AI  1:07:52 V / 1:02:22 P First entirely AI developed drug green lit for clinical trial (Outsourcing Pharma)   TRUMP  1:13:39 V / 1:08:09 P More than 100 U.S. lawmakers, presidents, gov's, justices, have slaveholding ancestors (Reuters) → Donald Trump only living US president whose ancestors didn't own slaves, report (Insider)   BIDEN/BBB  1:26:43 V / 1:21:13 P Biden announces $42 billion high-speed internet initiative (MSN/CNBC) → Digital Equity Act Program → Infrastructure Bill Full Document TREASURE/SPEAKPIPE/TALENT  1:34:57 V / 1:29:27 P   BILL GATES  1:52:34 V / 1:47:04 P Are US malaria cases in Florida, Texas a cause for concern? Our medical analyst weighs in (CNN) CNBC, 2017: Bill Gates released a swarm of mosquitoes on crowd to make point about malaria Politico, 2022: How the Gates Foundation plans to beat malaria without the vaccine   V4V/TIME END

The GNN crew is back after a couple weeks off and we are ready to discuss the final three episodes of Visions season 2. Come and join the conversation and tell us your thoughts.

This week the GNN crew will look at the first 3 episodes of Star Wars Visions season 2. Come and join in the live conversation Don't forget to head on over to our YouTube page to like, comment, and subscribe on all of our videos and catch Cantina Happy Hour every Thursday Night at 9:30 PM EST YouTube-https://www.youtube.com/c/GeekNewsNow

Come join the GNN crew as we discuss how cannon Star Wars now seems to be including Heir to the Empire into its story line. Is this a good thing or a bad thing? Come listen LIVE and give us you thoughts #Geeknewsnow #starwars #heirtotheempire #liveshow Don't forget to subscribe to our YouTube channel!!! https://www.youtube.com/c/GeekNewsNow

This is it. The season finale of The Mandalorian. The GNN crew will unpack this episode LIVE Thursday night. Come be a part of the conversation. #Mandalorian #StarWars #Liveshow #cantinahappyhour #GNN Don't forget to join us on our YouTube channel and like, comment and subscribe to all of our geeky content!! https://www.youtube.com/c/GeekNewsNow

In this episode, Scott Kimbler of GNN interviews Tim Echols about energy policy. In the second half, Tim Echols talks with Jim Rafferty of Old Town Trolley in Savannah, about their utilization of propane in their 51 trolleys.

Thanks for checking out Captains's Logs and Lightsabers Podcast. On Episode 25, we're talking all about the biggest news to come out of Star Wars Celebration Europe the weekend of April 7-10! Chris and Jonathan were unable to get together this time because of scheduling conflicts, but Jonathan called in reinforcements from the GNN team. None other than the host of the Cantina Happy Hour on GNN's YouTube channel answered the call. Jonathan and special guest David Furr have a lively discussion about the Ahsoka series, the final trailer for Jedi: Survivor, and THREE NEW STAR WARS FILMS! This episode also features a big announcement for our listeners. CLL's first ever giveaway Is going on RIGHT NOW! All you have to do to enter is review CLL Podcast on Apple Podcasts for your first entry. Want more chances to win, of course you do! One additional entry can be earned for EACH additional review you leave for the CLL on Spotify, and reviews of the Geek News Now Podcast Hub on Apple Podcasts and Spotify. Complete rules are explained in the episode and will be on all social media posts advertising the contest. 0:00 Introduction 7:52 Ahsoka Panel & Trailer 27:30 ROTJ Turns 40! 31:13 Tales of the Jedi Season 2 34:38 Bad Batch Final Season 36:45 Star Wars Jedi: Survivor Final Trailer 44:18 THREE NEW STAR WARS FILMS!! 1:11:00 Wrap-Up and Outro EVERY ORDER 20% Off Mad Rabbit Tattoo Care!! https://sldr.page.link/GdXZ Check Out Cantina Happy Hour!! https://youtube.com/playlist?list=PL3cGQ48rgU95IV8S3n4x1DztX7ZmxN8_t Contact the Show: Twitter - @CLL_Pod Facebook - www.facebook.com/LogsAndLightsabersPod Instagram - @logsandlightsaberspod Email: logslightsaberspod@gmail.com Apple Podcasts Link - Rate and Review! https://podcasts.apple.com/us/podcast/captains-logs-and-lightsabers/id1560069195 Spotify Link - Rate Us! https://open.spotify.com/show/0h44WzqUlc726aafvwwlD4 GNN Podcast Hub Spotify - Rate Us! https://open.spotify.com/show/79ErQ7hJGMBJEKdvsZt5Ij?si=7bJvHue9S4SNT1R8uw60og GNN Podcast Hub Apple Podcasts -Rate/Review https://podcasts.apple.com/us/podcast/geek-news-now-podcast-hub/id1516191190 Connect with Geek News Now Twitter - @GNN_Home Facebook - Geek News Now Website - www.geeknewsnow.net

Come join the GNN crew as we discuss the news and events from Star Wars Celebration. Join us on our YouTube channel for specials like this one. Come on over and don't forget to like, comment, and subscribe.   YouTube- https://www.youtube.com/c/GeekNewsNow

Its all things Mandalorian at the Happy Hour. Come see the GNN crew and join in the live discussion. Hope to see you there. And don't forget to follow us over on our YouTube channel where you can interact with your favor GNN host. YouTube- https://www.youtube.com/c/GeekNewsNow

Double episodes of The Bad Batch AND a thrilling ne Mandalorian episode. We have a lot to unpack this episode. Come see the GNN crew LIVE Thursday night and join the conversation on our YouTube channel!! And don't forget to like, comment and subscribe. YouTube- https://www.youtube.com/c/GeekNewsNow

The GNN crew gives their thoughts on the latest episode of The Bad Batch and, of course, The Mandalorian. Come and join the LIVE conversation. We look forward to seeing you there. Come and join in every Thursday Night at 8:30 PM CST. Make sure you subscribe to our YouTube channel and be a part of all of our shows. YouTube- https://www.youtube.com/c/GeekNewsNow

Join the GNN crew as they discuss the latest episode of Bad Batch and The Mandalorian. Tons of Star Wars fun. Set a reminder and be a part of the live conversation. So head on over to our YouTube channel to like, comment and sub to all our shows. So make sure to check out the GNN Cantina Hour every Thursday night at 9:30PM EST. https://www.youtube.com/c/GeekNewsNow    

Mandalorian season 3 is upon us and we are discussing the first episode. We will also be looking at the next episode of The Bad Batch. Come join our LIVE conversation. Check out GNN on all our of our platforms. We are on Facebook, YouTube, and Twitch. Don't forget to like, comment, and subscribe!!

After closing a slew of successful cases and nursing their celebratory hangovers, Detectives Tanner and Feebosh find their next lead: one Dr. Waals, who a tortured scientist reveals is the real brains behind the creation of R. He's living on the tropical island community called Cappucci, and everyone there is a suspect. The sleuths make landfall and immediately hit the ground running, interviewing a failing Pokémon Ranger, a scheming girlboss, a gross old man, a crooked cop, and then the notorious doctor himself. Of course, all was not what it seemed, and closing that case only leads to an even more disturbing discovery—it turns out that nearly a year ago to the day, there was a horrific incident at Fine Park during Pokémon Carnival. After chilling interview after chilling interview with the traumatized Pokémon who still reside at the abandoned theme park, they need to see just what triggered a Charizard to go on on a murderous rampage, leading them to Ryme City's local news outfit, GNN. But the trail doesn't go cold there, Bugshoes. It just heats the hell up. Whodunnit... all of it? You'll have to listen to find out.

Join the GNN crew as we discuss the latest episode of The Bad Batch. Will Clone Force 99 be able to recover their ship? David, Debi and Cam break down all of the Star Wars action. So join the crew Thursday nights at 9:30PM EST for the Cantina Happy Hour. The Geek News Now Family Facebook: https://www.facebook.com/GeekNewsNowOfficial YouTube: https://www.youtube.com/c/GeekNewsNow Twitter: https://twitter.com/GNN_Home Twitch: https://www.twitch.tv/geeknewsnow Instagram at https://www.instagram.com/geek_news_now/ Website https://www.geeknewsnow.net Podbean: https://geeknewsnow.podbean.com/ Apple: https://podcasts.apple.com/us/podcast/geek-news-now-podcast-hub/id1516191190 Amazon: https://music.amazon.com/podcasts/03bf9e51-3311-4374-aad6-f9269cc7cd57/geek-news-now-podcast-hub Spotify: http://ow.ly/IVUY50E7xNH Linktree: https://linktr.ee/Geek_News_Now #geeknewsnow #geeknews #gnn  

Join the GNN crew as they discuss the latest episodes of The Bad Batch. In this mid-season finale, the troops uncover a conspiracy happening within Coruscant. Plus the crew takes viewer questions and talk about what they have coming up on the show. So please be sure to join us every Thursday night at 9:30PM EST on the GNN YouTube channel. YouTube: www.youtube.com/@GeekNewsNow 

Come join the GNN crew as we discuss the latest episode of The Bad Batch. Also we ask the crew some deep dive questions.   What Star Wars' show or movie made them a fan??? Did they collect the toys and what box sets did David Furr collect.   Check out the guys every Thursday night at 8:30 CT/ 9:30 ET right here on our YouTube channel.  

We are almost through the first season of Andor. The GNN crew is discussing episode 11 come join us LIVE and be a part of the conversation