Discover a whole new take on Artificial Intelligence with Squirro's educational podcast! Join host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and their incredible impact on society, and y ...
…
continue reading
Innhold levert av Bedrock Intelligence / ReMotive Media. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Bedrock Intelligence / ReMotive Media eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Player FM - Podcast-app
Gå frakoblet med Player FM -appen!
Gå frakoblet med Player FM -appen!
Pablo Samuel Castro · Research Software Developer Google // Bedrock @ LAPIPA_Studios
MP3•Episoder hjem
Manage episode 320948600 series 2897879
Innhold levert av Bedrock Intelligence / ReMotive Media. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Bedrock Intelligence / ReMotive Media eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
New podcast from Data Stand-Up! Jesus talks to Pablo Samuel Castro, Research Software Developer at Google.
Pablo currently works a Research Software Developer for Google Brain in Montreal. His focus is mostly in reinforcement learning and machine learning applied to music and creativity.
In previous teams (Ads and Chrome) he focused on developing and applying large-scale machine learning solutions to difficult problems, addressing both theory and practice.
Specialties: Computer programming, Artificial Intelligence, Machine Learning, Music, Fully and Partially Observable Markov Decision Processes, Reinforcement Learning, Linear Programming.
…
continue reading
Pablo currently works a Research Software Developer for Google Brain in Montreal. His focus is mostly in reinforcement learning and machine learning applied to music and creativity.
In previous teams (Ads and Chrome) he focused on developing and applying large-scale machine learning solutions to difficult problems, addressing both theory and practice.
Specialties: Computer programming, Artificial Intelligence, Machine Learning, Music, Fully and Partially Observable Markov Decision Processes, Reinforcement Learning, Linear Programming.
21 episoder
MP3•Episoder hjem
Manage episode 320948600 series 2897879
Innhold levert av Bedrock Intelligence / ReMotive Media. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Bedrock Intelligence / ReMotive Media eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
New podcast from Data Stand-Up! Jesus talks to Pablo Samuel Castro, Research Software Developer at Google.
Pablo currently works a Research Software Developer for Google Brain in Montreal. His focus is mostly in reinforcement learning and machine learning applied to music and creativity.
In previous teams (Ads and Chrome) he focused on developing and applying large-scale machine learning solutions to difficult problems, addressing both theory and practice.
Specialties: Computer programming, Artificial Intelligence, Machine Learning, Music, Fully and Partially Observable Markov Decision Processes, Reinforcement Learning, Linear Programming.
…
continue reading
Pablo currently works a Research Software Developer for Google Brain in Montreal. His focus is mostly in reinforcement learning and machine learning applied to music and creativity.
In previous teams (Ads and Chrome) he focused on developing and applying large-scale machine learning solutions to difficult problems, addressing both theory and practice.
Specialties: Computer programming, Artificial Intelligence, Machine Learning, Music, Fully and Partially Observable Markov Decision Processes, Reinforcement Learning, Linear Programming.
21 episoder
모든 에피소드
×Velkommen til Player FM!
Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.