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דוברים עם טייטלים:ד"ר שי מלצר, מנהל התכנית הלאומית לביו-קונברג'נס, רשות החדשנותפרופ' מיכל רוזן צבי, דריק. עולמית למחקר מדעי הבריאות והחיים, IBM Researchעמית יערי, מייסד ומנכ"ל, BIO BETTER"חדשנות על הבר" היא סדרה מיוחדת במסגרתה מובילי עולם הכלכלה והחדשנות הישראלית מרואיינים על ידי בכירי רשות החדשנות.והפעם, נפגוש אתכם/ן בחיפה לשיחה צפופה ובלתי פורמאלית בין פרופ' מיכל רוזן צבי מנהלת הבינה המלאכותית לגילוי מואץ של בריאות ומדעי החיים ב-IBM Research ופרופסור באוניברסיטה העברית בפקולטה לרפואה, לבין שי מלצר מנהל התוכנית הלאומית לביו-קונברג'נס.נדבר על הכוח של בינה מלאכותית לשנות את עולם הבריאות והמדעים. הם יעסקו בשאלה איך AI יכול לזרז פיתוחים רפואיים ותגליות מדעיות, וגם ידברו על שיתופי פעולה בין מחקר אקדמי לתעשייה, ואיך מחברים בין רעיונות חדשניים ליישום בשטח. השיחה תיגע גם באתגרים כמו פרטיות ושקיפות בתחום הבינה המלאכותית הרפואית, ותסביר איך טכנולוגיות חדשות יכולות לשפר את תהליכי המחקר. בנוסף, הם יספרו על החשיבות של שיתופי פעולה בינלאומיים ועל איך חדשנות ישראלית משתלבת בזירה העולמית.את מי תפגשו על הבר הפעם?פרופ' מיכל רוזן צבי מנהלת הבינה המלאכותית לגילוי מואץ של בריאות ומדעי החיים ב-IBM Research ופרופסור באוניברסיטה העברית בפקולטה לרפואה. היא עומדת בראש מחלקת ה-AI for Accelerated HC&LS Discovery Department ב-IBM Research בחיפה, שם היא מובילה מחקרים חדשניים המשלבים בינה מלאכותית בתחומי הביולוגיה והרפואה. פרופ' רוזן צבי מתמקדת בפיתוח כלים וטכנולוגיות המסייעים להאצת תגליות מדעיות ולשיפור תהליכי מחקר וטיפול רפואי, תוך חיבור בין אקדמיה, תעשייה וחדשנות טכנולוגיתד”ר שי מלצר מנהל התוכנית הלאומית לביו-קונברג'נס, הוא בעל תואר ראשון ושני במשפטים ודוקטורט בגנטיקה מהאוניברסיטה העברית, וניסיון של 15 שנות פעילות ויזמות באקוסיסטם הביו-רפואי. מלצר משלב מומחיות מדעית עם הבנה עסקית, ופועל לקידום שיתופי פעולה בין מחקר, תעשייה ומדיניות ציבורית בתחום הביו-קונברג'נס.השנה יסתיים כל מפגש עם במה למייסד או מנכ”ל של סטארטאפ מ”עוטף ישראל”, לשיחה על המוצר וחדשנותו הטכנולוגית, לצד אתגרי השנה וחצי האחרונות מאז ה-7.10 וההזדמנויות קדימה. והפעם- עמית יערי, מייסד BIO BETTER , חברה המפתחת פלטפורמה חדשנית לייצור חלבונים מורכבים בצמחים, שנחשבים קשים או בלתי אפשריים לייצור בשיטות מסורתיות. לחברה מפעל בקריית שמונה, אך בעקבות פרוץ המלחמה היא נאלצה להעביר את פעילותה ליוקנעם, עם תכנון לשוב לתל חי בעתיד. התקופה המאתגרת הציבה בפני החברה התמודדויות מורכבות בתחום משאבי האנוש, כולל פינוי מרבית העובדים והתמודדות עם תהליך הדרגתי של חזרה לשגרה ולפעילות מלאה.(*) ללינקדאין שלי: https://www.linkedin.com/in/guykatsovich/(*) לאינסטגרם שלי: https://www.instagram.com/guykatsovich/(*) עקבו אחרינו ב"עוד פודקאסט לסטארטאפים":ספוטיפיי:https://open.spotify.com/show/0dTqS27ynvNmMnA5x4ObKQאפל פודקאסט:https://podcasts.apple.com/podcast/id1252035397
Send Everyday AI and Jordan a text messageMaybe we should just skip the whole AGI thing?
Hoy conversé con Carlos Alzate, CTO del AI Fund, un venture studio fundado por Andrew Ng que construye e invierte en startups de inteligencia artificial.Carlos tiene +20 años de experiencia, un Doctorado en IA y anteriormente trabajó en IBM Research donde participó en algunos proyectos pioneros en IA como Project Debater y Watson.-Por favor ayúdame dejando una reseña en Spotify o Apple Podcasts: https://ratethispodcast.com/startupeable-AI Fund ha levantado $175M y a la fecha han invertido en +30 startups incluidas: 10Web, Baseten y Podcastle.Hoy Carlos y yo hablamos sobre:Por qué la IA debe ser el "último recurso" para resolver problemasCómo evaluar si un "wrapper de ChatGPT" realmente aporta valorLa importancia de los datos propietarios como ventaja competitivaEl concepto de "human in the loop" para sistemas de IA efectivosLos desafíos únicos para la adopción de IA en LatinoaméricaNotas del episodio: https://startupeable.com/ai-fundPara más contenido síguenos en:YouTube | Sitio Web -Distribuido por Genuina Media
El 14 de marzo de 2020 el Gobierno declara el Estado de Alarma en España para afrontar la situación de emergencia sanitaria provocada por la pandemia del coronavirus. Empezó así un confinamiento que afectó a prácticamente todo el planeta y vivimos una situación que la mayor parte de nosotros no creímos que íbamos a experimentar. En este programa hablamos de la pandemia del coronavirus y reflexionamos sobre lo que supuso científicamente en ese momento y de lo que ha podido influir posteriormente.El brote inicial en China dio origen a la pandemia y se detectó por primera vez el 17 de noviembre de 2019 en la ciudad de Wuhan, donde se identificaron casos de neumonía con origen desconocido en varios hospitales. El primer caso de covid-19 en nuestro país fue diagnosticado el 31 de enero de 2020 en La Gomera, mientras que el primer fallecimiento conocido ocurrió el 13 de febrero en Valencia.Desde luego fue una disrupción social. Lo experimentamos a nivel laboral, económico y educativo, pero supuso todo un reto a nivel científico. Toda la comunidad científica internacional se puso a trabajar para conseguir conocer las características del virus, cómo afectaba a los ciudadanos, descubrir tratamientos eficaces para los enfermos y crear una vacuna para evitar el contagio. Destacada fue la labor del Consorcio de Computadores de Altas Prestaciones Covid - 19 para combinar el trabajo de los supercomputadores de mayor capacidad del planeta para el uso de datos de forma masiva. Eran necesarios para las predicciones de la pandemia o acelerar en el conocimiento de la eficiencia de los fármacos. Darío Gil, vicepresidente de la empresa tecnológica IBM y director de IBM Research y ha sido nombrado subsecretario de Ciencia de Estados Unidos dirigió ese consorcio. Convenció al Gobierno de Estados Unidos y a las principales instituciones y empresas tecnológicas del mundo de la necesidad de esa coordinación en siete días. Así lo decía hace unos días en Murcia, donde ha sido investido Doctor Honoris Causa por la Universidad de Murcia.Eso fue en el ámbito de la computación, pero a nivel biológico y sanitario lo vimos con la vacuna. El Premio Príncipe de Asturias y el Premio Nobel de Medicina ha sido otorgado a Katalin Karikó y Drew Weissman, dos científicos de Hungría y Estados Unidos, respectivamente, considerados los padres de la vacuna. Por su labor en la investigación contra el COVID-19, que salvó miles de vidas durante la pandemia. Era el resultado de décadas de investigación sobre las propiedades del ARN y su interacción con nuestro sistema inmunitario hicieron posible el desarrollo ARNm como vacuna y como molécula terapéutica.Hemos reflexionado sobre este asunto y también del aprendizaje de la pandemia. Ese tema lo ha tratado Tedros Adhanom, director general de la Organización Mundial de la Salud. Además, entrevistamos a varios sanitarios y científicos que estuvieron trabajando durante la pandemia en España. Son Alberto Torres, jefe de Medicina Preventiva del Hospital Virgen de la Arrixaca de Murcia y catedrático de ese área en la Universidad de Murcia; Enrique Bernal, jefe de Medicina Interna del Hospital Reina Sofía de Murcia y profesor de la UMU; Damián García Olmo, jefe de Cirugía del Hospital Fundación Jiménez Díaz de Madrid y catedrático de la Universidad Autónoma de Madrid; José Antonio Navarro, consultor honorario de Vacunas del Ministerio de Sanidad; Antonio Guirao, profesor de Física de la Universidad de Murcia e investigador de un proyecto de modelización de la incidencia del coronavirus financiado por el Instituto de Salud Carlos III; y Antonio José Ruiz Alcaraz, profesor de Inmunología de la Universidad de Murcia.
Send us a textThe master of Artificial Intelligence: Ruchir Puri, Chief Scientist of IBM Research, an IBM Fellow, and Vice-President of IBM Corporate Technology. AI questions you were afraid to ask, from hallucinations to watsonx. #makingdatasimple #watsonxWelcome to the enlightening world of AI with Ruchir Puri, the Master of Artificial Intelligence and esteemed guest on our podcast. Join us as we embark on a captivating journey, delving deep into the realms of AI that you've always been curious about but hesitant to ask. From hallucinations to WatsonX, we leave no stone unturned in our quest for knowledge. Ruchir Puri, Chief Scientist of IBM Research and IBM Fellow, as well as Vice-President of IBM Corporate Technology, shares his expertise and insights, unraveling the complexities and potential of AI. Tune in to gain a comprehensive understanding of AI's capabilities and its impact on our lives. Prepare to have your questions answered and be amazed by the wonders of AI.02:17 Meet Ruchir Puri the "Maker"09:24 A day in the life 14:22 The AI hype 24:21 Why now?27:36 The AI triangle35:57 Why IBM 40:58 Deciding factors43:57 Is bigger better?47:59 Hallucinations 49:53 watsonx52:33 Who are you betting on?54:23 First stepsLinkedIn: linkedin.com/in/ruchir-puri-b117021aWebsite: https://www.ibm.com/watsonxWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
Send us a textThe master of Artificial Intelligence: Ruchir Puri, Chief Scientist of IBM Research, an IBM Fellow, and Vice-President of IBM Corporate Technology. AI questions you were afraid to ask, from hallucinations to watsonx. #makingdatasimple #watsonxWelcome to the enlightening world of AI with Ruchir Puri, the Master of Artificial Intelligence and esteemed guest on our podcast. Join us as we embark on a captivating journey, delving deep into the realms of AI that you've always been curious about but hesitant to ask. From hallucinations to WatsonX, we leave no stone unturned in our quest for knowledge. Ruchir Puri, Chief Scientist of IBM Research and IBM Fellow, as well as Vice-President of IBM Corporate Technology, shares his expertise and insights, unraveling the complexities and potential of AI. Tune in to gain a comprehensive understanding of AI's capabilities and its impact on our lives. Prepare to have your questions answered and be amazed by the wonders of AI.02:17 Meet Ruchir Puri the "Maker"09:24 A day in the life 14:22 The AI hype 24:21 Why now?27:36 The AI triangle35:57 Why IBM 40:58 Deciding factors43:57 Is bigger better?47:59 Hallucinations 49:53 watsonx52:33 Who are you betting on?54:23 First stepsLinkedIn: linkedin.com/in/ruchir-puri-b117021aWebsite: https://www.ibm.com/watsonxWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
Darío Gil Alburquerque ha sido investido Doctor Honoris Causa por la Universidad de Murcia. Es vicepresidente de la empresa tecnológica IBM y director de IBM Research y ha sido nombrado subsecretario de Ciencia de Estados Unidos. Recibe este reconocimiento por su papel en la pandemia del coronavirus y por impulsar la computación cuántica.Este es el momento del nombramiento como Doctor Honoris Causa por la Universidad de Murcia a Darío Gil, murciano de nacimiento, aunque de niño se trasladó a vivir a Madrid, donde desde pequeño mostró su interés por la ciencia. La Secundaria la estudió en Estados Unidos y el máster lo realizó en el MIT, donde se adentró en el mundo de la computación cuántica.Según sus padrinos, el reconocimiento se le da por esforzarse por democratizar las nuevas tecnologías y su papel en la coordinación científica en la pandemia del coronavirus. Dirigió el Consorcio de computadores de altas prestaciones Covid 19 para combinar el trabajo de los supercomputadores de mayor capacidad del planeta para el uso de datos de forma masiva.Eran necesarios para las predicciones de la pandemia, o acelerar en el conocimiento de la eficiencia de los fármacos. Darío Gil convenció al Gobierno de Estados Unidos y a las principales instituciones y empresas tecnológicas del mundo en siete días.
Send us a textExplore the transformative world of microelectronics packaging with industry visionaries Amy Lujan, Tim Olson, and Jan Vardaman as they share their journey at the IMAPS Annual Device Packaging Conference (DPC). With the conference relocating to the vast Wild Horse Pass, expect an enriched experience with expanded technical tracks and exhibitor opportunities reflecting the rising interest in this field. Get ready to embrace the future of packaging with insights that redefine its significance in the semiconductor industry.Uncover the critical challenges facing AI infrastructure in a thought-provoking panel discussion with experts from IBM Research, Intel, and leading OSATs. We'll tackle whether today's infrastructure can keep pace with AI's explosive growth, especially concerning energy-efficient chip designs and packaging solutions. Learn about groundbreaking advancements and the potential to alleviate data center power consumption concerns through innovative packaging techniques. Beyond the tech talk, we'll highlight the vibrant networking scene at the conference, featuring events like the Backyard Olympics and a charity golf tournament, ensuring a perfect blend of professional growth and community building. Join us for a chance to network, learn, and potentially reshape the future of microelectronics packaging.IMAPS Device Packaging ConferenceInterconnects for Tomorrow's Applications Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showBecome a sustaining member! Like what you hear? Follow us on LinkedIn and TwitterInterested in reaching a qualified audience of microelectronics industry decision-makers? Invest in host-read advertisements, and promote your company in upcoming episodes. Contact Françoise von Trapp to learn more. Interested in becoming a sponsor of the 3D InCites Podcast? Check out our 2024 Media Kit. Learn more about the 3D InCites Community and how you can become more involved.
La inteligencia artificial se está implementado en todas las esferas de la sociedad y estamos apreciando cómo influye en ella. Hay quien habla de una nueva revolución industrial, pero también quién destaca los dilemas éticos que supone una tecnología que imita, a veces muy bien, la conducta humana. Llama la atención que una de las últimas medidas que ha tomado el ex presidente de Estados Unidos, Joe Biden; y lo primero que ha hecho el nuevo, Donald Trump, sea una medida relacionada con el uso de la inteligencia artificial. Biden, en su último discurso como presidente, ha alertado del riesgo que supone un mal uso de la inteligencia artificial y ha destacado que debe ser Estados Unidos y no China quien lidere su desarrollo. En ese sentido, publicaba una orden ejecutiva para garantizar que la infraestructura necesaria para operaciones avanzadas de IA se pueda construir rápidamente y a gran escala en Estados Unidos. Por su parte, Trump ha nombrado al murciano Darío Gil, director de Investigación de IBM Research, que abarca las áreas de Inteligencia Artificial, computación cuántica y ciencia exploratoria, subsecretario de Estado de Ciencia e Innovación.La inteligencia artificial es una disciplina que busca crear máquinas que imiten la inteligencia humana para realizar tareas y que pueden mejorar conforme recopilen información. Su funcionamiento lo explica José Tomás Palma, profesor del departamento de Ingeniería de la Información y las Comunicaciones de la Universidad de Murcia. El hecho de que se hable de máquinas que hagan las acciones de los humanos es muy antiguo, aunque el primero en proponerlo fue Allan Turing, gran impulsor de la computación. En 1950, el matemático Alan Turing se preguntó: "¿Pueden pensar las máquinas?". Lo hizo en el artículo de "Computing Machinery and Intelligence". Precisamente esa pregunta, ¿Pueden pensar las máquinas?, sigue de moda hoy en día, especialmente con el uso de herramientas que puedan aproximarse al pensamiento humano y que mejora su funcionamiento con los datos que aportan los usuarios. Es lo que coloquialmente conocemos como aprendizaje de la máquina. Precisamente en 1950, Alan Turing planteó el test de Turing. El uso de este test ha vuelto a cobrar importancia hoy en día, en el que se plantea los límites de la relación del ser humano con la máquina.Lola Cano, doctora en ingeniería de Telecomunicación y catedrática de la Universidad Politécnica de Cartagena, lo usaba en una entrevista en el programa Plaza Pública de Onda Regional, en la que aseguraba que tenemos que aprender a dominar a la Inteligencia Artificial pero aceptando a la vez las posibilidades que nos ofrece.Y el uso de la inteligencia artificial requiere de un trabajo en el que están involucradas empresas e instituciones de nivel y también distintas disciplinas. De todo ello hablamos con Elena González, jefa de Inteligencia Artificial para StartUps y Unicornios de Microsoft para Europa, Oriente Medio y África. Al margen del trabajo que se realiza a nivel internacional, en la Unión Europea y, en concreto, en España, se está trabajando en la materia. Lo decía la murciana María González Veracruz, secretaria de Estado de Digitalización e IA, en una entrevista en Plaza Pública, de Onda Regional. De hecho en la Unión Europea ha hecho un reglamento europeo para legislar en la materia, del hablamos con Juan Luis Pedreño, diputado y portavoz de Inteligencia Artificial en el Congreso de los Diputados.Además, en este programa les hablamos de ejemplos de implementación de la Inteligencia Artificial en distintos sectores. Uno el traductor de Meta, utilizando la inteligencia artificial, que ha probado nuestro compañero José Antonio Sánchez; el uso de la IA en la Administración, que cuenta Javier Martínez Gilabert, director general de Transformación Digital; y el periodismo, que explica José Manuel Noguera, profesor de Periodismo de la UCAM.
L'industrie des semi-conducteurs pourrait bien vivre une révolution. Face aux limites des connexions électriques traditionnelles, IBM Research introduit une innovation de taille : l'intégration de guides d'ondes optiques directement sur les puces. Une prouesse technologique qui promet de décupler les capacités de transmission des données, tout en réduisant drastiquement la consommation énergétique.Actuellement, les puces utilisent des fils de cuivre microscopiques pour transporter les signaux électroniques. Mais cette densité croissante pose des défis majeurs, notamment en termes de dissipation thermique et de perte de signal. La solution d'IBM ? Remplacer les électrons par des photons, à l'image de la fibre optique, mais à une échelle microscopique. Ces guides d'ondes optiques miniaturisés canalisent la lumière pour transmettre l'information avec une précision nanométrique.Les chiffres donnent le vertige : IBM a concentré 51 canaux de transmission optique par millimètre, une densité six fois supérieure aux technologies actuelles. Résultat ? Des débits 80 fois plus rapides que les connexions électriques classiques. L'expertise d'IBM en conception et assemblage a permis de surmonter les obstacles de miniaturisation, ouvrant la voie à des applications dans le calcul haute performance (HPC) et l'intelligence artificielle. Au-delà des performances, cette technologie promet une révolution énergétique : une réduction par cinq de la consommation électrique des systèmes informatiques. Une avancée majeure pour des centres de données toujours plus gourmands en énergie.Testée dans des conditions extrêmes – de -40 °C à 125 °C –, cette innovation montre des performances robustes. Dan Hutcheson, analyste chez TechInsights, qualifie ce développement de « tournant technologique ». L'industrie des semi-conducteurs observe avec attention, tandis que les grands fabricants pourraient rapidement demander des licences. IBM semble sur le point de redéfinir l'avenir de l'informatique. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.
Today's guests are Seshu Tirupathi, Research Scientist and Elizabeth Daly, STSM and Research Manager of the Interactive AI Group at IBM Research Ireland. In today's episode, we are delving into fascinating world of AI and its application in cybersecurity, spotlighting IBM Research's work as a finalist for Best Application of AI in a Large Enterprise at last month's AI Awards. Topics include: 0:00 Interactive AI and incremental ML for risk classification 1:57 Challenges in continuous learning, dynamic updates, and explainability 2:51 Combining interpretable rules with incremental ML for adaptability 5:27 Integrating heuristic rules with ML for adaptability and transparency 6:29 How Explainable ML integrates user feedback to improve models 8:21 Being inspired by IBM collaboration, project bridges AI and stakeholder feedback 9:41 How integrating feedback improves ML accuracy and client satisfaction 10:40 How transparency in AI balances vulnerability risks with improved oversight 13:13 Why dynamic models are essential for evolving data and systems
The UK Humanitarian Innovation Hub (UKHIH), Elrha, and Humanitarian AI Today bring panelists together to discuss transparency and strategies for improving transparency and accountability in AI implementations. Michael Hind, Distinguished Research Staff Member at IBM Research; Shadrock Roberts, Director of Global Data Protection & Privacy at Mercy Corps; Scott Turnbull, Chief Technology Officer at Data Friendly Space; Liam Nicoll, Signpost Product Lead at Signpost AI Lab; and Sarah Spencer, a consultant who regularly speaks on humanitarian operations and applications of artificial intelligence, contribute their insights on transparency and ways of improving transparency and accountability in AI implementations. Touching on the existing landscape of AI initiatives within the humanitarian sector, key players, and what transparency means broadly and in practice, their views connect the humanitarian and technology communities and provide valuable insight into why transparency is crucial for building trust in AI systems and engaging stakeholders in developing and leveraging uses of AI for good. The panel discussion, guest hosted by Brent Phillips from Humanitarian AI Today, mixes input on AI systems, technical information disclosure, AI governance and regulation, and how humanitarian organizations are approaching developing, testing and deploying safe, responsible and trustworthy AI applications that are transparent and accountable to end users. Panelists each share their views on ways of improving transparency and offer ideas on directions to expand the transparency conversation. In closing, panelists provide a strong case for greater information sharing on AI use cases and greater inclusivity around transparency throughout the AI building and deployment process. This episode is part of a six-part panel discussion series sponsored and produced by Humanitarian AI Today in collaboration with the UK Humanitarian Innovation Hub (UKHIH) and Elrha, with funding from UK International Development from the UK government. More information about this episode, its focus and upcoming discussions can be found by subscribing to the UK Humanitarian Innovation Hub and Elrha's new AI newsletter: http://ukhih.org/newsletter.
Introducing Transformations in AI: Why Foundation Models are the Future from Smart Talks with IBM.Follow the show: Smart Talks with IBMMajor breakthroughs in artificial intelligence research often reshape the design and utility of AI in both business and society. In this special rebroadcast episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern AI with Dr. David Cox, VP of AI Models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of AI and data platforms like watsonx in business and technology. When we first aired this episode last year, the concept of foundation models was just beginning to capture our attention. Since then, this technology has evolved and redefined the boundaries of what's possible. Businesses are becoming more savvy about selecting the right models and understanding how they can drive revenue and efficiency. This is a paid advertisement from IBM. The conversations on this podcast don't necessarily represent IBM's positions, strategies or opinions. Visit us at https://www.ibm.com/smarttalksSee omnystudio.com/listener for privacy information.DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to team@podroll.fm.
In the week the Nobel prizes for science are announced, Roland Pease takes a look at the stories behind the breakthroughs being recognized, and the themes that connect them. From the discovery of the tiny fragments of RNA that regulate our cells' behaviour, via computer structures that resemble our brains, and harnessing those sorts of computers to design drugs and medicines, it has been one of the most interdisciplinary years for the prize panellists. We hear from old students, recent colleagues, laureates and lab (and life) partners, including Rosalind “Candy” Lee and her husband Victor Ambros, of UMass Chan Medical School, US, Erika DeBenedictus of the Crick Institute, UK, and Dmitri Krotov of IBM Research. Presented: Roland Pease Produced: Alex Mansfield Production co-ordinator: Andrew Rhys Lewis(Photo: 3d rendering of RNA strands and lipid-based nanoparticles or liposome. Credit: Love Employee via Getty Images)
Josep Cuní habla con Margarita Orfila, arqueóloga jubilada y catedrática de arqueología de la Universidad de Granada con respecto a cómo la inteligencia artificial ha ayudado a completar el mapa de las figuras que conocíamos en Nazca, Perú. Hasta 303 nuevos geoglifos han sido identificadas gracias a la IA, lo cual duplica el número que hasta ahora se conocía sobre estas misteriosas figuras descubiertas por la arqueóloga Maria Reiche en la década de 1940. Se trata de una investigación desarrollada por parte del Instituto Nazca de la Universidad de Yamagata de Japón e IBM Research. Esto abre la puerta a esclarecer uno de los mayores misterios de la arqueología americana.Escuchar audio
Vijay is the co-founder and CEO of Pindrop, a leader in voice security technology. With a background in engineering and research roles at Google, Siemens, IBM Research, and Intel, Vijay invented phone printing technology in 2010 and launched Pindrop in 2011. Under his leadership, Pindrop has raised over $200 million from investors, including JC2 Ventures, led by by Cisco's John Chambers. Holding multiple patents in VoIP security and scalability, Vijay frequently speaks at major conferences such as RSA, Black Hat, and CCS. He earned his PhD in computer science from Georgia Tech.In this conversation, we discuss:The evolution of voice technology from landline telephony to modern voice systems.The challenges of educating people about voice security and deepfake threats in the early 2010s.How the rise of Alexa and other voice assistants transformed public perception of voice technology.The rapid development of voice cloning tools and their implications for security.The role of deepfakes in political interference, including high-profile cases President Biden.How companies like Pindrop are using AI to detect and combat voice-related deepfake attacks in real-time.ResourcesSubscribe to the AI & The Future of Work NewsletterConnect with Vijay AI fun fact articleHow AI is reinventing networking with Cisco's Dr. JP Vasseur
Petros Zerfos and Hima Patel of IBM Research are part of the team behind Data Prep Kit, an open-source toolkit that helps process and prepare raw text and code data at scale for use in large language model applications.Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon • RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Dell Technologies and Red Hat, Inc., the world's leading provider of open-source solutions, are bringing Red Hat Enterprise Linux AI (RHEL AI), a foundation model platform built on an AI-optimised operating system that enables users to more seamlessly develop, test and deploy AI and GenAI models, to Dell PowerEdge servers. This joint effort establishes RHEL AI as a preferred platform on the Dell PowerEdge R760xa server. This collaboration helps organisations more readily implement successful artificial intelligence and machine learning (AI/ML) strategies to scale their IT systems and power enterprise applications across their businesses. Dell and Red Hat are providing a more consistent AI experience on optimised, AI-enabled hardware solutions, all delivered on the trusted platform of RHEL AI on Dell PowerEdge. This initiative aims to simplify the AI experience for users by continuously testing and validating hardware solutions, including NVIDIA accelerated computing, with RHEL AI. RHEL AI brings together open source-licensed Granite large language models (LLMs) from IBM Research, InstructLab model alignment tools based on the LAB (Large-scale Alignment for chatBots) methodology and a community-driven approach to model development through the InstructLab project. The solution is packaged as an optimised, bootable Red Hat Enterprise Linux (RHEL) image for individual server deployments across the hybrid cloud and is included as part of Red Hat OpenShift AI, Red Hat's hybrid cloud machine learning operations (MLOps) platform, for running models and InstructLab at scale across distributed cluster environments. Joe Fernandes, vice president and general manager, Generative AI Foundation Model Platforms, Red Hat said "AI by nature requires extensive resources spanning enabled servers, compute power and GPUs. As organisations evaluate and implement GenAI use cases, it is imperative that they build on a platform that is able to scale with their business while also providing the agility to experiment and develop AI-driven innovations. By collaborating with Dell Technologies to validate and empower RHEL AI on Dell PowerEdge servers, we are enabling customers with greater confidence and flexibility to harness the power of GenAI workloads across hybrid cloud environments and propel their business into the future." Arun Narayanan, senior vice president, Dell Technologies said "Validating RHEL AI for AI workloads on Dell PowerEdge servers provides customers with greater confidence that the servers, GPUs and foundational platforms are tested and validated on an ongoing basis. This simplifies the GenAI user experience and accelerates the process to build and deploy critical AI workloads on a trusted software stack." Bob Pette, vice president, Enterprise Platforms, NVIDIA said "In today's fast-paced market, it is critical for organisations to be equipped with validated and trusted AI-enabled solutions to kick-start their GenAI use cases. Red Hat and Dell will extend GenAI capabilities for customers with an optimized experience for NVIDIA accelerated computing, including NVIDIA H100 Tensor Core GPUs, with Dell PowerEdge servers and RHEL AI."
On this episode, I'm joined by Dr. Ruchir Puri, Chief Scientist of IBM Research, IBM Fellow, and Vice President of IBM Technology & Technical Community. Dr. Puri shares his journey from Kurukshetra's National Institute of Technology to spearheading innovations at IBM, reflecting on how his early fascination with electronics and mathematics shaped his career. It's a story of passion, perseverance and profound impact.Key Takeaways:(00:11) Contributing new knowledge rather than just absorbing information is crucial.(01:22) Early life experiences in a university campus environment.(04:18) The significance of a safe and stimulating childhood in shaping future leaders.(16:35) A love for mathematics and logical problem-solving shaped Dr. Puri's academic and professional trajectory.(33:02) Dr. Puri's passion for electronics and building things from an early age guided his career choices.(49:21) The importance of having mentors and role models in shaping one's career and personal growth.(53:32) Success is defined by contributing to a body of knowledge and having a respected, credible standing in one's field.(01:02:45) Focus on the work itself rather than the results to achieve excellence.(01:04:10) The role of mentors, including family members and colleagues, is indispensable in achieving success.Resources Mentioned:Dr. Ruchir Puri - https://www.linkedin.com/in/ruchir-puri-b117021a/IBM Research - https://research.ibm.comNIT Kurukshetra - https://nitkkr.ac.inIIT Kanpur - https://www.iitk.ac.inThanks for listening to the Indianness podcast. If you enjoyed this episode, hit the subscribe button and never miss another insightful conversation with leaders of Indian origin. And be sure to leave a review to help get the word out about the show. #Indian #IndiaBusiness #India #Indianness
The Will To Change: Uncovering True Stories of Diversity & Inclusion
Tune in for a conversation with Dr. Stacy Hobson, Director of the Responsible Technologies Research group at IBM Research, as we delve into the critical intersection of ethics and artificial intelligence. In this eye-opening episode, Dr. Hobson shares her journey from rural South Carolina to leading cutting-edge research in responsible AI development, illuminating the challenges and paramount importance of creating ethical, unbiased AI systems. Discover how IBM Research is tackling the complex task of balancing rapid technological advancement with careful consideration of AI's societal impacts. Dr. Hobson also discusses the need for diverse perspectives in AI development, the global nature of AI ethics, and the power shifts that AI can create in society.
Send us a Text Message.The master of Artificial Intelligence: Ruchir Puri, Chief Scientist of IBM Research, an IBM Fellow, and Vice-President of IBM Corporate Technology. AI questions you were afraid to ask, from hallucinations to watsonx. #makingdatasimple #watsonxWelcome to the enlightening world of AI with Ruchir Puri, the Master of Artificial Intelligence and esteemed guest on our podcast. Join us as we embark on a captivating journey, delving deep into the realms of AI that you've always been curious about but hesitant to ask. From hallucinations to WatsonX, we leave no stone unturned in our quest for knowledge. Ruchir Puri, Chief Scientist of IBM Research and IBM Fellow, as well as Vice-President of IBM Corporate Technology, shares his expertise and insights, unraveling the complexities and potential of AI. Tune in to gain a comprehensive understanding of AI's capabilities and its impact on our lives. Prepare to have your questions answered and be amazed by the wonders of AI.02:17 Meet Ruchir Puri the "Maker"09:24 A day in the life 14:22 The AI hype 24:21 Why now?27:36 The AI triangle35:57 Why IBM 40:58 Deciding factors43:57 Is bigger better?47:59 Hallucinations 49:53 watsonx52:33 Who are you betting on?54:23 First stepsLinkedIn: linkedin.com/in/ruchir-puri-b117021aWebsite: https://www.ibm.com/watsonxWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
Send us a Text Message.The master of Artificial Intelligence: Ruchir Puri, Chief Scientist of IBM Research, an IBM Fellow, and Vice-President of IBM Corporate Technology. AI questions you were afraid to ask, from hallucinations to watsonx. #makingdatasimple #watsonxWelcome to the enlightening world of AI with Ruchir Puri, the Master of Artificial Intelligence and esteemed guest on our podcast. Join us as we embark on a captivating journey, delving deep into the realms of AI that you've always been curious about but hesitant to ask. From hallucinations to WatsonX, we leave no stone unturned in our quest for knowledge. Ruchir Puri, Chief Scientist of IBM Research and IBM Fellow, as well as Vice-President of IBM Corporate Technology, shares his expertise and insights, unraveling the complexities and potential of AI. Tune in to gain a comprehensive understanding of AI's capabilities and its impact on our lives. Prepare to have your questions answered and be amazed by the wonders of AI.02:17 Meet Ruchir Puri the "Maker"09:24 A day in the life 14:22 The AI hype 24:21 Why now?27:36 The AI triangle35:57 Why IBM 40:58 Deciding factors43:57 Is bigger better?47:59 Hallucinations 49:53 watsonx52:33 Who are you betting on?54:23 First stepsLinkedIn: linkedin.com/in/ruchir-puri-b117021aWebsite: https://www.ibm.com/watsonxWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
In this episode we speak with Dr Soudip Roy Chowdhury, CEO of Eugenie.ai. Eugenie is building an AI platform that is helping to reduce carbon emissions from asset-heavy manufacturing operations. Many industrial processes, such as steel and cement production, require large amounts of energy to generate high temperature process heat. The current reliance on fossil fuels for this energy makes it difficult and economically prohibitive to switch to low-carbon alternatives and effectively decarbonize.These industries are the epitome of what we think about when we think of carbon emissions. They are vast, generate a tremendous amount of carbon impact, and aren't going anywhere. Eugenie.ai is tackling the problem by bringing accuracy to emission measurement using an ensemble of methods and then deep learning their way to the most optimal operational practices. In our conversation we learned just how medieval some of this tech is, which is great news - there's a tremendous amount of slack in the system to take up. Eugenie's platform is able to improve production, reduce wastage, and improve product quality all while reducing ~30% of emissions – and because of rising costs, do it at a net financial gain to companies.Though a complete overhaul might be long ways out, the smallest efficiency gain brought about in the industrial sector by machine learning adds up to carbon saving comparable to fixing the entire transportation industry!Our Guest, Soudip Roy ChowdhurySoudip Roy Chowdhury is the founder and CEO of Eugenie.ai. He has successfully taken Eugenie from the conceptualization stage to a merger, transforming it from 0 to 1. Eugenie has been featured by Google I/O, CNBC, Forbes, and major analyst reports as an innovative solution for industrial decarbonization.With over 18 years of professional experience, Soudip has held various technical leadership roles at IBM Research, Rakuten, Tata Elxsi, Fractal AI Inc., and other AI and data startups across three continents. He holds a PhD in machine learning and is passionate about applying AI to solve large-scale problems such as climate change.At Eugenie, Soudip and his team are building an AI platform to decarbonize asset-heavy manufacturing operations. A nature lover and avid traveler, he shares his environmental passion with his daughter. In addition to his work at Eugenie, Soudip advises several startups in sustainability, AI, and healthcare domains. He is an advisor on the Forbes Tech Council, serves as an AI/ML advisor for DevNetwork, and holds an adjunct faculty position at IIT Kharagpur in India.Eugenie: https://www.linkedin.com/company/eugenie-ai/Soudip: https://www.linkedin.com/in/soudiprc/Your Hosts Mansi Shah - Joshua Marker ClimateStack
Introducing Transformations in AI: why foundation models are the future from Smart Talks with IBM.Follow the show: Smart Talks with IBMMajor breakthroughs in artificial intelligence research often reshape the design and utility of AI in both business and society. In this special rebroadcast episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern AI with Dr. David Cox, VP of AI Models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of AI and data platforms like watsonx in business and technology. When we first aired this episode last year, the concept of foundation models was just beginning to capture our attention. Since then, this technology has evolved and redefined the boundaries of what's possible. Businesses are becoming more savvy about selecting the right models and understanding how they can drive revenue and efficiency. This is a paid advertisement from IBM. The conversations on this podcast don't necessarily represent IBM's positions, strategies or opinions. Visit us at https://www.ibm.com/smarttalksSee omnystudio.com/listener for privacy information.DISCLAIMER: Please note, this is an independent podcast episode not affiliated with, endorsed by, or produced in conjunction with the host podcast feed or any of its media entities. The views and opinions expressed in this episode are solely those of the creators and guests. For any concerns, please reach out to team@podroll.fm.
Major breakthroughs in artificial intelligence research often reshape the design and utility of Al in both business and society. In this special rebroadcast episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern Al with Dr. David Cox, VP of Al models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of Al and data platforms like watsonx in business and technology. When we first aired this episode last year, the concept of foundation models was just beginning to capture our attention. Since then, this technology has evolved and redefined the boundaries of what's possible. Businesses are becoming more savvy about selecting the right models and understanding how they can drive revenue and efficiency. This is a paid advertisement from IBM. The conversations on this podcast don't necessarily represent IBM's positions, strategies or opinions. Visit us at ibm.com/smarttalks See omnystudio.com/listener for privacy information.
In this episode of ACM ByteCast, Bruke Kifle hosts ACM Fellow Ramón Cáceres, a computer science researcher and software engineer. His areas of focus have included systems and networks, mobile and edge computing, mobility modeling, security, and privacy. Most recently he was at Google, where he built large-scale privacy infrastructure. Previously, Ramón was a researcher at Bell Labs, AT&T Labs, and IBM Research. He also held leadership positions in several startup companies. In addition to being the first ACM Fellow from the Dominican Republic, he is an IEEE Fellow and has served on the board of the CRA Committee on Widening Participation in Computing Research. He holds a PhD in Computer Science from the University of California at Berkeley. Ramón, who took an indirect path to computer science, shares how he started in computer engineering but grew more interested in software, and how his strong background in hardware helped throughout his scientific and engineering career. He identifies some of the most significant challenges facing privacy and security and sheds lights on his work with the Google team that developed Zanzibar, Google's global authorization system supporting services used by billions of people. Ramón looks toward the future of mobile and edge computing in the next 5-10 years and his particular interest in federated machine learning, which brings together AI and mobile and edge computing. In the wide-ranging interview, he also reflects on growing up in the Dominican Republic and later discovering a love for sailing while in Silicon Valley, shares his efforts to bring underrepresented groups into the field of computing, and offers advice for aspiring software engineers.
Guest: Campbell Watson, Senior Research Scientist at IBM ResearchAs artificial intelligence, or AI, continues to become more pervasive in our technology, it's only natural to wonder what it means for meteorology and climatology. Believe it or not, AI is already revolutionizing how we develop models in the Earth and Space sciences. Joining us today is Campbell Watson, a Senior Research Scientist at IBM Research, to discuss how we are creating these AI models, and the opportunities and advancements we hope to learn from using them.Chapters00:00 Introduction to AI in Meteorology and Climatology01:35 Campbell Watson's Background and Interest in Weather04:18 The Use of AI in Weather Forecasting05:24 The Evolution of AI in Weather Forecasting06:26 Understanding AI at its Core08:09 Difference Between AI and Conventional Weather Model Forecasting10:44 The Difference Between AI and Conventional Weather Model Forecasting13:31 AI Models Learning from Weather Models20:30 Foundation Models and Unsupervised Learning25:12 Verification of AI in Weather Forecasting27:57 The Robustness of AI Models28:24 Learning from Observations29:23 AI Models Learning from Observations30:09 The Importance of Observations30:38 Comparing Deep Learning and AI with Traditional Weather Forecasting Models35:38 Trustworthiness in AI Forecasting36:12 Adopting AI in Weather Forecasting41:46 Nowcasting with AI44:03 AI in Climate Forecasting47:38 The Future of AI in Weather ForecastingSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Episode Summary: In this episode, recorded live at the IBM Think event in Boston, Maribel Lopez moderates a panel on AI governance with key figures from IBM and AWS. The discussion revolves around the current state and future of AI governance, the challenges and opportunities it presents, and the role of innovation and regulation in shaping responsible AI adoption.Speakers: Maribel Lopez, Lopez Research Karthik Krishnan from Amazon SageMaker Heather Gentile from IBM Watsonx.GovernanceKush Varshney from IBM Research. Key themes:This panel discussed the necessity for organizations to manage data across hybrid multi-cloud environments while ensuring robust governance is discussed. Gentile highlighted the strategic importance of AI governance for organizations aiming to align AI adoption with their ethics, culture, and valuesThe panel discussed how companies are shifting from siloed AI projects to enterprise-wide governance frameworks driven by generative AI innovations as well as the need to closely follow changes in the regulatory landscape. Krishnan discusses the collaboration between AWS and IBM Watson to integrate governance tools with AI and ML workflows. This integration aims to simplify risk management and regulatory compliance for customers using generative AI. Collaboration between AWS and IBM is seen Varshney shared insights on ongoing research in AI governance, particularly in addressing issues like hallucination in generative AI and developing algorithms for regulatory compliance.
Send us a Text Message.Was Deep Learning Revolution Bad For Causal Inference?Did deep learning revolution slowed down the progress in causal research?Can causality help in finding drug repurposing candidates?What are the main challenges in using causal inference at scale?Ehud Karavani, the author of the CausalLib Python library and Researcher at IBM Research shares his experiences and thoughts on these challenging questions.Ehud believes in the power of good code, but for him code is not only about software development.He sees coding as an inseparable part of modern-day research.A powerful conversation for anyone interested in applied causal modeling.In this episode we discuss:Can causality help in finding drug repurposing candidates?Challenges in data processing for causal inference at scaleMotivation behind Python causal inference library CausalLibWorking at IBM Research Ready to dive in? About The GuestEhud Karavani, MSc is Research Staff Member at IBM Research in the Causal Machine Learning for Healthcare & Life Sciences Group. He focuses on high-throughput causal inference for finding new indications for existing drugs using electronic health records and insurance claims data. He's the original author of Causallib - one of the first Python libraries specialized in causal inference.Connect with Ehud:Ehud on Twitter/XEhud on LinkedInEhud's web page About The HostAleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality. Connect with Alex: Alex on the InternetLinksLinks for this episode can be found here Video version of this episode can be found here. Support the Show.Causal Bandits PodcastCausal AI || Causal Machine Learning || Causal Inference & DiscoveryWeb: https://causalbanditspodcast.comConnect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/Join Causal Python Weekly: https://causalpython.io The Causal Book: https://amzn.to/3QhsRz4
Happy Mothers Day! And let's explore some new happenings at the intersection of open source and AI. SHOW: 820SHOW TRANSCRIPT: The Cloudcast #820SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW NOTES:InstructLab Project (github homepage)LAB: Large-Scale Alignment for ChatBots (research paper)Granite LLMs (IBM research - Hugging Face)7b-base model7b-lab modelHAPPY MOTHERS DAY TO ALL THE MOMSCall you mom, be good to your wife, and be a role model for the young girls in your lifeOPEN SOURCE MEETS AIThe big AI question: 1 model, or many models?2023 was the year of model diversity, and the beginnings of “open” models (Llama 2, Mistral, etc.)Can we make it easier to contribute to an open model?Can we create communities around models?Can we reduce the costs of expensive parts of AI? How can businesses bring their knowledge to a model, without security concerns about their data? (options like RAG (retrieval augmented generation) exist)FEEDBACK?Email: show at the cloudcast dot netTwitter: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod
Watch Carol and Tim LIVE every day on YouTube: http://bit.ly/3vTiACF. Steven Skancke, Chief Economic Advisor at Keel Point and Yelena Shulyatyeva, Senior US Economist at BNP Paribas, provide a preview of Wednesday's Fed rate decision. Blomberg News Health Reporter Madison Muller explains Lilly raising 2024 guidance as Zepbound drug flies off shelves. Ruchir Puri, Chief Scientist at IBM Research, shares his thoughts on the rethink of data centers and enterprise around GenAI. Chattanooga, TN Mayor Tim Kelly discusses creating an innovation ecosystem for sustainable mobility. And we Drive to the Close Michael Sheldon, Executive Director at RDM Financial Group. Hosts: Carol Massar and Tim Stenovec. Producer: Paul Brennan. See omnystudio.com/listener for privacy information.
In episode 119 of The Gradient Podcast, Daniel Bashir speaks to Professor Michael Sipser.Professor Sipser is the Donner Professor of Mathematics and member of the Computer Science and Artificial Intelligence Laboratory at MIT.He received his PhD from UC Berkeley in 1980 and joined the MIT faculty that same year. He was Chairman of Applied Mathematics from 1998 to 2000 and served as Head of the Mathematics Department 2004-2014. He served as interim Dean of Science 2013-2014 and then as Dean of Science 2014-2020.He was a research staff member at IBM Research in 1980, spent the 1985-86 academic year on the faculty of the EECS department at Berkeley and at MSRI, and was a Lady Davis Fellow at Hebrew University in 1988. His research areas are in algorithms and complexity theory, specifically efficient error correcting codes, interactive proof systems, randomness, quantum computation, and establishing the inherent computational difficulty of problems. He is the author of the widely used textbook, Introduction to the Theory of Computation (Third Edition, Cengage, 2012).Have suggestions for future podcast guests (or other feedback)? Let us know here or reach Daniel at editor@thegradient.pubSubscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (01:40) Professor Sipser's background* (04:35) On interesting questions* (09:00) Different kinds of research problems* (13:00) What makes certain problems difficult* (18:48) Nature of the P vs NP problem* (24:42) Identifying interesting problems* (28:50) Lower bounds on the size of sweeping automata* (29:50) Why sweeping automata + headway to P vs. NP* (36:40) Insights from sweeping automata, infinite analogues to finite automata problems* (40:45) Parity circuits* (43:20) Probabilistic restriction method* (47:20) Relativization and the polynomial time hierarchy* (55:10) P vs. NP* (57:23) The non-connection between GO's polynomial space hardness and AlphaGo* (1:00:40) On handicapping Turing Machines vs. oracle strategies* (1:04:25) The Natural Proofs Barrier and approaches to P vs. NP* (1:11:05) Debates on methods for P vs. NP* (1:15:04) On the possibility of solving P vs. NP* (1:18:20) On academia and its role* (1:27:51) OutroLinks:* Professor Sipser's homepage* Papers discussed/read* Halting space-bounded computations (1978)* Lower bounds on the size of sweeping automata (1979)* GO is Polynomial-Space Hard (1980)* A complexity theoretic approach to randomness (1983)* Parity, circuits, and the polynomial-time hierarchy (1984)* A follow-up to Furst-Saxe-Sipser* The Complexity of Finite Functions (1991) Get full access to The Gradient at thegradientpub.substack.com/subscribe
The master of Artificial Intelligence: Ruchir Puri, Chief Scientist of IBM Research, an IBM Fellow, and Vice-President of IBM Corporate Technology. AI questions you were afraid to ask, from hallucinations to watsonx. #makingdatasimple #watsonxWelcome to the enlightening world of AI with Ruchir Puri, the Master of Artificial Intelligence and esteemed guest on our podcast. Join us as we embark on a captivating journey, delving deep into the realms of AI that you've always been curious about but hesitant to ask. From hallucinations to WatsonX, we leave no stone unturned in our quest for knowledge. Ruchir Puri, Chief Scientist of IBM Research and IBM Fellow, as well as Vice-President of IBM Corporate Technology, shares his expertise and insights, unraveling the complexities and potential of AI. Tune in to gain a comprehensive understanding of AI's capabilities and its impact on our lives. Prepare to have your questions answered and be amazed by the wonders of AI.02:17 Meet Ruchir Puri the "Maker"09:24 A day in the life 14:22 The AI hype 24:21 Why now?27:36 The AI triangle35:57 Why IBM 40:58 Deciding factors43:57 Is bigger better?47:59 Hallucinations 49:53 watsonx52:33 Who are you betting on?54:23 First stepsLinkedIn: linkedin.com/in/ruchir-puri-b117021aWebsite: https://www.ibm.com/watsonxWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
The master of Artificial Intelligence: Ruchir Puri, Chief Scientist of IBM Research, an IBM Fellow, and Vice-President of IBM Corporate Technology. AI questions you were afraid to ask, from hallucinations to watsonx. #makingdatasimple #watsonxWelcome to the enlightening world of AI with Ruchir Puri, the Master of Artificial Intelligence and esteemed guest on our podcast. Join us as we embark on a captivating journey, delving deep into the realms of AI that you've always been curious about but hesitant to ask. From hallucinations to WatsonX, we leave no stone unturned in our quest for knowledge. Ruchir Puri, Chief Scientist of IBM Research and IBM Fellow, as well as Vice-President of IBM Corporate Technology, shares his expertise and insights, unraveling the complexities and potential of AI. Tune in to gain a comprehensive understanding of AI's capabilities and its impact on our lives. Prepare to have your questions answered and be amazed by the wonders of AI.02:17 Meet Ruchir Puri the "Maker"09:24 A day in the life 14:22 The AI hype 24:21 Why now?27:36 The AI triangle35:57 Why IBM 40:58 Deciding factors43:57 Is bigger better?47:59 Hallucinations 49:53 watsonx52:33 Who are you betting on?54:23 First stepsLinkedIn: linkedin.com/in/ruchir-puri-b117021aWebsite: https://www.ibm.com/watsonxWant to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
On this episode of The Six Five - On the Road, host Patrick Moorhead is joined by Dr. Dario Gil SVP and Director for IBM Research and Ion Stoica, Executive Chairman, Anyscale and Databricks and Professor at UC Berkeley. They engage in a captivating conversation about the significance of an open future for Artificial Intelligence and introduce us to the AI Alliance's goals and initiatives. Our discussion covers: The mission and objectives of the AI Alliance within the AI industry Historical context and motivations behind the formation of the AI Alliance and its unique positioning The diverse makeup of the AI Alliance, including pivotal roles of IBM and Anyscale, in promoting AI accessibility Strategies for fostering open and responsible AI development through the Alliance Overview of current projects and future endeavors of the AI Alliance Learn more at IBM Research and Anyscale.
Daniel Svonava is the Co-Founder of Superlinked. Daniel Svonava attended the Faculty of Informatics and Information Technologies, Slovak University of Technology. MLOps podcast #214 with Daniel Svonava, CEO & Co-founder at Superlinked, Information Retrieval & Relevance: Vector Embeddings for Semantic Search // Abstract In today's information-rich world, the ability to retrieve relevant information effectively is essential. This lecture explores the transformative power of vector embeddings, revolutionizing information retrieval by capturing semantic meaning and context. We'll delve into: - The fundamental concepts of vector embeddings and their role in semantic search - Techniques for creating meaningful vector representations of text and data - Algorithmic approaches for efficient vector similarity search and retrieval - Practical strategies for applying vector embeddings in information retrieval systems // Bio Daniel is an entrepreneurial technologist with a 20 year career starting with competitive programming and web development in highschool, algorithm research and Google & IBM Research internships during university, first entrepreneurial steps with his own computational photography startup and a 6 year tenure as a tech lead for ML infrastructure at YouTube Ads, where his ad performance forecasting engine powers the purchase of $10B of ads per year. Presently, Daniel is a co-founder of Superlinked.com - a ML infrastructure startup that makes it easier to build information-retrieval heavy systems - from Recommender Engines to Enterprise-focused LLM apps. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Daniel on LinkedIn: https://www.linkedin.com/in/svonava/?originalSubdomain=ch
Matt Greenwood, Chief Innovation Officer & Head of Investment Management Engineering @ Two Sigma shares some of the most unique and valuable cultural practices behind how the engineering org operates at Two Sigma. We discuss strategies that prepare you for scaling (like intentional relationship-building with your front-line managers); examples of how Two Sigma successfully deployed the “Inverse Conway Maneuver,” how to reinforce a consensus-driven culture from early-days to 1000+, how to navigate both large & small reorgs; and why Two Sigma made the intentional decision to rebrand their R&D org as M&E (modeling & engineering)! Plus, Matt's approach to full-bodied problem-solving.ABOUT MATT GREENWOODMatt is Chief Innovation Officer and Head of Investment Management Engineering at Two Sigma. He joined Two Sigma in 2003 and since then has led a number of company-wide efforts in both engineering and modeling. Matt is also an Advisor at Two Sigma Ventures and works closely with the business' portfolio companies as a board member and advisor.Matt began his career at Bell Labs and later moved to IBM Research, where he was responsible for a number of early efforts in tablet computing and distributed computing. In 2000, Matt was lead developer and manager for Entrisphere, Inc., where he helped create a product providing access equipment for broadband service providers. Matt earned a BA and MA in Math from Oxford University, and a Master's degree in Theoretical Physics from the Weizmann Institute of Science in Israel. He also holds a PhD in Mathematics from Columbia University, where he taught for many years."We came to New York in 2003, nothing was happening in New York. Silicon Alley, as they called it back then was just kaput. Then one day, I was browsing Craigslist, because that's what you did in 2003, and there was a little ad, ‘Hedge fund, looking for excellent engineers.' So I was like, 'All right, maybe.' I said to my wife, 'This is either the sketchiest thing ever or the best decision of my life. It's one of those two things.' On Craigslist, there's no other way you can be, right? And it was probably the best decision of my life.”- Matt Greenwood This episode is brought to you by incident.ioincident.io is trusted by hundreds of tech-led companies across the globe, including Etsy, monday.com, Skyscanner and more to seamlessly orchestrate incident response from start to finish. Intuitively designed, and with powerful and flexible built-in workflow automation, companies use incident.io to supercharge incident response and up-level the entire organization.Learn more about how you can better identify, learn from, and respond to incidents at incident.ioInterested in joining an ELC Peer Group?ELCs Peer Groups provide a virtual, curated, and ongoing peer learning opportunity to help you navigate the unknown, uncover solutions and accelerate your learning with a small group of trusted peers.Apply to join a peer group HERE: sfelc.com/peerGroupsSHOW NOTES:Matt's eng leadership journey & discovering Two Sigma on Craigslist (3:34)Key moments of Two Sigma's evolution as an org that sparked excitement (7:26)Lessons learned on keeping your work exciting by focusing on “human problems” (10:25)Create a culture of investing in people's growth across longer timelines (12:22)How Sigma Two intentionally structures its R&D org (15:18)An unexpected way to prepare for scaling your org - intentional relationship-building strategies for your first-line managers (18:10)Frameworks for deploying the inverse Conway maneuver (20:56)The right people / conversations for small & large reorgs (23:30)Consensus-driven culture at 1000+, approaches to create buy-in & ownership with organizational change (26:02)Two Sigma's approach to full-bodied problem solving (30:26)Rapid fire questions (34:06)LINKS AND RESOURCESWhalefall - A scientifically accurate thriller from Daniel Kraus about a scuba diver who's been swallowed by an eighty-foot, sixty-ton sperm whale and has only one hour to escape before his oxygen runs out.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/
O Hipsters: Fora de Controle é o podcast da Alura com notícias sobre Inteligência Artificial aplicada e todo esse novo mundo no qual estamos começando a engatinhar, e que você vai poder explorar conosco! Nesse episódio conversamos com Alan Braz sobre as iniciativas de IA da IBM. Além disso, comentamos algumas das principais notícias de uma semana recheada de novidades no mundo da IA, incluindo novos embedding models da OpenAI, e a expectativa da AGI aberta da Meta. Vem ver quem participou desse papo: Marcus Mendes, host fora de controle Fabrício Carraro, Program Manager da Alura e host do podcast Dev Sem Fronteiras Sérgio Lopes, CTO da Alura Alan Braz, Senior Research Developer na IBM Research Brasil
Michael Torrance sat down with Kevin Murphy, Chief Science State Officer at NASA, and Raghu Ganti, a Principal Research Scientist at IBM Research, to discuss how NASA's data collection strategies are helping to develop and improve geospatial models, creating opportunities to better understand environmental risks.
Joe Levy is the CEO and Co-founder of AiLert, a company focused on weapon detection using surveillance cameras and AI. He is a diverse professional with a background ranging from Oscar nominee for motion picture editing, to image processing expert at Apple and developer of the first-ever VR simulations for the military with IBM Research. AiLert has received a research grant from the European Research Council for the deployment of their AI technology for weapons detection in smart cities. In this episode… AI can be useful in a plethora of industries, including safety and surveillance. Joe Levy of AiLert aims to make communities safer by detecting weapons using surveillance cameras. The company, which has received a significant grant from the European Research Council, is making significant strides in the weapon detection space. Joe delves into the operational and ethical aspects involving the use of AI in security. Taking us through the complexities of accepting AI's role in security job spheres, he provides essential insights into the fear, acceptance, and need for AI. Asserting the essential role of human involvement in AI-generated anomalies, Joe provides insights into the changing landscape of the AI safety and security industry. In this episode of Inspired Insider Podcast, join host Dr. Jeremy Weisz and Joe Levy, CEO and Co-founder of AiLert, in sharing the deeply personal motivations that drive the AiLert team, demonstrating their commitment to their cause. Combined with their involvement with GDPR and the AI Act, AiLert's innovative AI technology is poised to play a significant role in the safety and security of cities worldwide.
In this week's episode, Anna Rose (https://twitter.com/annarrose) is joined by Nigel Smart (https://twitter.com/SmartCryptology), Professor at KU Leuven (https://www.kuleuven.be/english/kuleuven) and Chief Academic Officer at Zama (https://www.zama.ai/) to discuss the advancements in MPC over recent years. Nigel unpacks core components of MPC systems, including garbled circuits, secret sharing, and FHE. They discuss both systems-level applications like DKGs and Threshold Signature Schemes and actual real-world deployments. Throughout the episode, they also discuss how MPC and ZK differ, but how they can be used together to enhance each other's capabilities. Here's some additional links for this episode: 17 misconceptions about SNARKs (and why they hold us back by Justin Thaler (https://a16zcrypto.com/posts/article/17-misconceptions-about-snarks/) Nigel Smart's GitHub (https://nigelsmart.github.io/) Unbound Security GitHub (https://github.com/unboundsecurity) Unbound Security Twitter (https://twitter.com/unboundsecurity) MPC Alliance (https://www.mpcalliance.org/) What is a multi-party computation (MPC) wallet? (https://www.alchemy.com/overviews/mpc-wallet) Relevant ZK Podcast eps Trusted Setups & FHE * Episode 76: Sean Bowe on SNARKs, Trusted Setups & Elliptic Curve Cryptography (https://zeroknowledge.fm/76-2/) * Episode 124: Exploring FHE with Flavio Bergamaschi from IBM Research (https://zeroknowledge.fm/124-2/) * Episode 133: Trusted Setup Ceremonies Explored (https://zeroknowledge.fm/133-2/) * Episode 137: Trusted Setup Bonus: Tornado Cash (https://zeroknowledge.fm/137-2/) * Episode 248: Revisiting FHE with Rand Hindi from Zama (https://zeroknowledge.fm/248-2/) * Episode 270: FHE and ZKPs with Sunscreen's Ravital Solomon (https://zeroknowledge.fm/270-2/) MPC * Episode 90: MPC systems with Nigel Smart (https://zeroknowledge.fm/90-2/) * Episode 203: MPC and DAGs with Aleph Zero's Adam Gagol & Matthew Niemerg (https://zeroknowledge.fm/episode-203-mpc-and-dags-with-aleph-zeros-adam-gagol-matthew-niemerg/) Applications are now open to attend zkHack Istanbul - Nov 10-12! Apply here: https://www.zkistanbul.com/ (https://www.zkistanbul.com/) RISC Zero's (https://r0.link/ZKpodcast) out-of-the-box tooling allows developers to access the magic of ZK proofs from any chain without needing to learn custom languages or build custom zk circuits. Bonsai, RISC Zero's most anticipated product, allows developers to prove huge programs off-chain, roll them into one succinct proof, and verify anywhere with low amounts of gas. Visit https://r0.link/ZKpodcast (https://r0.link/ZKpodcast) to learn more and sign up today for the Bonsai waitlist. GnosisDAO (https://www.gnosis.io/) are searching for a VP of Technology who will provide technical leadership, foster innovation, and ensure the success of their technology. Check out the full job description and apply on the ZK Jobs Board jobsboard.zeroknowledge.fm/ (https://jobsboard.zeroknowledge.fm/) If you like what we do: * Find all our links here! @ZeroKnowledge | Linktree (https://linktr.ee/zeroknowledge) * Subscribe to our podcast newsletter (https://zeroknowledge.substack.com) * Follow us on Twitter @zeroknowledgefm (https://twitter.com/zeroknowledgefm) * Join us on Telegram (https://zeroknowledge.fm/telegram) * Catch us on YouTube (https://zeroknowledge.fm/)
Major breakthroughs in artificial intelligence research often reshape the design and utility of AI in both business and society. In this episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern AI with Dr. David Cox, VP of AI Models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of AI and data platforms like watsonx in business and technology. Visit us at: https://www.ibm.com/thought-leadership/smart/talks/ Learn more about watsonx: https://www.ibm.com/watsonx This is a paid advertisement from IBM.See omnystudio.com/listener for privacy information.
Major breakthroughs in artificial intelligence research often reshape the design and utility of AI in both business and society. In this episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern AI with Dr. David Cox, VP of AI Models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of AI and data platforms like watsonx in business and technology. Visit us at: https://www.ibm.com/smarttalks/ Learn more about watsonx: https://www.ibm.com/watsonx This is a paid advertisement from IBM.See omnystudio.com/listener for privacy information.
Major breakthroughs in artificial intelligence research often reshape the design and utility of AI in both business and society. In this episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern AI with Dr. David Cox, VP of AI Models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of AI and data platforms like watsonx in business and technology. Visit us at: https://www.ibm.com/smarttalks/ Learn more about watsonx: https://www.ibm.com/watsonx This is a paid advertisement from IBM.Support the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.
Major breakthroughs in artificial intelligence research often reshape the design and utility of AI in both business and society. In this episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern AI with Dr. David Cox, VP of AI Models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of AI and data platforms like watsonx in business and technology. Visit us at: https://www.ibm.com/thought-leadership/smart/talks/ Learn more about watsonx: https://www.ibm.com/watsonx This is a paid advertisement from IBM.See omnystudio.com/listener for privacy information.
Major breakthroughs in artificial intelligence research often reshape the design and utility of AI in both business and society. In this episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern AI with Dr. David Cox, VP of AI Models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of AI and data platforms like watsonx in business and technology. Visit us at: https://www.ibm.com/smarttalks/ Learn more about watsonx: https://www.ibm.com/watsonx This is a paid advertisement from IBM.See omnystudio.com/listener for privacy information.
Major breakthroughs in artificial intelligence research often reshape the design and utility of AI in both business and society. In this episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern AI with Dr. David Cox, VP of AI Models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of AI and data platforms like watsonx in business and technology. Visit us at: https://www.ibm.com/smarttalks/ Learn more about watsonx: https://www.ibm.com/watsonx This is a paid advertisement from IBM.See omnystudio.com/listener for privacy information.
Major breakthroughs in artificial intelligence research often reshape the design and utility of AI in both business and society. In this episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern AI with Dr. David Cox, VP of AI Models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of AI and data platforms like watsonx in business and technology. Visit us at: https://www.ibm.com/smarttalks/ Learn more about watsonx: https://www.ibm.com/watsonx This is a paid advertisement from IBM.See omnystudio.com/listener for privacy information.
Major breakthroughs in artificial intelligence research often reshape the design and utility of AI in both business and society. In this episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern AI with Dr. David Cox, VP of AI Models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of AI and data platforms like watsonx in business and technology. Visit us at: https://www.ibm.com/smarttalks/ Learn more about watsonx: https://www.ibm.com/watsonx This is a paid advertisement from IBM.See omnystudio.com/listener for privacy information.
Major breakthroughs in artificial intelligence research often reshape the design and utility of AI in both business and society. In this episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the conceptual underpinnings of modern AI with Dr. David Cox, VP of AI Models at IBM Research. They talk foundation models, self-supervised machine learning, and the practical applications of AI and data platforms like watsonx in business and technology. Visit us at: https://www.ibm.com/smarttalks/ Learn more about watsonx: https://www.ibm.com/watsonx This is a paid advertisement from IBM.See omnystudio.com/listener for privacy information.
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