Podcasts about google magenta

Laura López, de "Actualizados Comunicación", empresa que se adica á xestión da comunicación dixital. Hoxe achéganos, a arte das IA e a súa aplicación en redes sociais. No ano 2022 a Fundéu deixounos pampos coa súa elección da palabra -ou máis ben expresión complexa- do ano 2022. A intelixencia artificial ou IA, polas súas siglas, deunos moito do que falar e fíxonos aprender unha chea nos últimos tempos. Este concepto, que ás veces nos resulta algo ambiguo, xa é unha constante no noso día a día e asistentes como Siri e Alexa ou as recomendacións musicais de Spotify son un bo exemplo diso. "Aínda que poidamos facer un uso sinxelo de ChatGPT, esta ten moito potencial á hora de escribir os copies para as nosas publicacións.". "Na última edición, do IA Song Contest, podemos atopar a canción participante de Galicia no segundo posto". "DALL-E 2 defínese como un novo sistema de intelixencia artificial que pode crear imaxes realistas a partir dunha descrición de texto e mediante a posterior combinación de conceptos, atributos e estilos". Que é a intelixencia artificial? A intelixencia artificial defínese como unha "disciplina científica que se ocupa de crear programas informáticos que realizan operacións comparables ás que realiza a mente humana, como o aprendizaxe ou o razonamento lóxico". A IA xa está presente en sectores moi diversos. Na sanidade, a través de chatbots que nos preguntan polos nosos síntomas e realizan un diagnóstico; no transporte e loxística, para optimizar o tráfico; na agricultura, con análises predictivos que melloran o rendemento dos terreos; no ámbito comercial, mediante a súa previsión de vendas e recomendacións de produtos a usuarios; na educación, con ofertas personalizadas para optimizar a aprendizaxe; ou na banca, a través da predición de patróns do mercado para aconsellar a clientes e incluso detectar fraudes; e moitas outras posibilidades. Non obstante, tamén está a facer acto de presenza nun ámbito que, convencionalmente, críamos que estaba máis guiado polo corazón que pola razón: a arte. A IA que pinta: DALL-E 2 OpenAI é a responsable de que Chat GPT estea na boca de todos. Este é unha especie de chatbot de intelixencia artificial que responde ás nosas preguntas ou peticións máis disparatadas, desde a creación dun traballo académico de mil palabras sobre o cambio climático ata a resolución dunha ecuación. Esta mesma compañía, fundada por Elon Musk e outros investidores, e que afirma ter como obxectivo a promoción e desenvolvemento da IA amigable de maneira que beneficie á sociedade, tamén conta cunha vea máis artística: DALL-E. DALL-E 2 defínese como un novo sistema de intelixencia artificial que pode crear imaxes realistas a partir dunha descrición de texto e mediante a posterior combinación de conceptos, atributos e estilos. Esta IA, tería aprendido a relación entre imaxes e o texto usado para describilas. Utiliza un proceso chamado "difusión", que comeza cun patrón aleatorio de puntos e que gradualmente vai alterando cara a unha imaxe cando recoñece aspectos específicos dela. Está claro que as imitacións sairían pronto e xa contamos con outras propostas como IMAXEN de Google ou DALL-E Mini. Ademais, as redes sociais ou ferramentas que empregamos para preparar o noso contido para redes, xa conta con integracións de IA: por exemplo, en Photoshop podemos completar -e facilitar- a nosa edición. A plataforma ten unha ferramenta que, mediante unha descrición nosa, é capaz de crear formas, imaxes e todo o que nos poidamos imaxinar. Isto tamén o podemos ver noutras ferramentas de creación de contido como pode ser Canva. Chat GPT: algúns consellos se nos falta inspiración E isto, por suposto, ten a súa aplicación en redes sociais. Non só a través da publicación, por exemplo, das imaxes de DALL-E ou das creatividades xeradas con Photoshop ou Canva, senón co Chat GPT. Aínda que poidamos facer un uso sinxelo da plataforma, esta ten moito potencial á hora de escribir os copies para as nosas publicacións. ✔️ Estilo. Podémoslle pedir que nos responda cun estilo determinado de escritura: formal, persuasivo, descriptivo, narrativo, inspiracional, informal, cercano, emotivo, amable, técnico, respetuoso ou irónico, por exemplo. ✔️ Algún truco. Podémoslle pedir que adquira un rol nas súas respostas, por exemplo, de locutor de radio. Indicarlle un tipo de formato na resposta, por exemplo, un guión. Tamén lle podemos solicitar accións como o resume dun texto en 100 palabras, que nos simplifique un contido ou mesmo que, en base a un parágrafo que nós lle proporcionemos, xenere unha proposta de titulares. ✔️Extensións de Chrome para redes sociais. Son moitas as súas posibilidades e as redes sociais son conscientes de iso. É así que podemos aproveitarnos de extensións como Tweet GPT, que crea unha biografía e imaxe automática en función aos tuits que publicamos; YouTube Summary, que permite resumir vídeos de YouTube e artigos da rede; ChatGPT Writer, destinado a escribir emails e mensaxes, solventar eses erros de gramática que poidamos ter, cambiar o ton de escritura ou resumir, entre outras opcións; Fireflies, é un asistente de voz dixital que se une como participante ás conversas en Zoom e que axuda a transcribir, tomar notas e realizar accións durante as reunións; ou Engage AI, destinada a mellorar o alcance en LinkedIn a través da automatización e mellora de comentarios. ✔️MusicLM: do papel ao pentagram Google presentou un modelo que xera música de alta fidelidade a partir de descricións de texto. Que MusicLM sexa capaz de facer isto débese a un exhaustivo adestramento de arredor de 280.000 horas de música, o que lle permite discernir diferentes conceptos. Aínda que na súa web xa podemos escoitar varios exemplos diso, o usuario de a pé aínda non o pode probar xa que, por agora, Google non se plantexa lanzar esta ferramenta ao público. ✔️Unha cita para os eurofans: AI Song Contest Se es dos que agarda a que chegue Eurovisión como auga de maio, quizais che soe a cita eurovisiva con IA que se celebra dende 2020 nos Países Baixos. AI Song Contest é unha competición internacional que explora o uso de intelixencia artificial no proceso de composición musical na que poden participar tanto músicos como investigadores ou desenvolvedores. Na última edición, celebrada en xuño de 2022, participaron 46 equipos creadores de todo o mundo. E, entre os 15 finalistas resultantes, podemos atopar a canción participante de Galicia no segundo posto. E, o próximo 4 de novembro será a Coruña a responsable de recibir as novas cancións creadas con IA. AI-Lalelo ( https://www.youtube.com/watch?v=sWm7SPmxJTU ) , nome que recibe a canción galega creada exclusivamente con intelixencia artificial, descríbese como unha homenaxe ás mulleres que erixiron o país e conseguiron manter a tradición, lingua e cultura propias. A canción baséase nas cantigas tradicionais, fusionadas cun toque futurista da man das ferramentas de IA. A peza, creada polo equipo PAMP, da empresa CECUB Group, foi xerada a partir de 454 cancións tradicionais con GPT-3, que emprega aprendizaxe profunda para crear textos que emulan a redacción humana, segundo explican en Portal TIC. Este ano repetirán a experiencia coa canción Florespiña ( https://www.youtube.com/watch?v=LW7T45VSciU ), na que podemos escoitar a voz de Ana Kiro. Outras ferramentas de IA empregadas na súa composición foron Google Magenta, para a creación de arte e música, e DDSP, para a combinación da estrutura de elementos como filtros e reverberacións para xerar sons, partindo de instrumentos de percusión tradicionais. E, aínda que estes xa son algúns exemplos fascinantes de como a intelixencia artificial pode realizar tarefas que eran encomendadas tradicionalmente á creatividade humana, seguro que nos seguirá sorprendendo co transcurso do tempo. Máis Información ACTUALIZADOS COMUNICACIÓN: ✔️Páxina Web: https://actualizadoscomunicacion.com/ ✔️Facebook: https://www.facebook.com/actualizadoscomunicacion ✔️Twitter: https://twitter.com/actualizadoscom ✔️Instagram: https://www.instagram.com/actualizados_comunicacion/ ️"SUSCRÍBETE" ao podcast. MÁIS ENTREVISTAS: https://www.ivoox.com/podcast-salta-da-cama_sq_f1323089_1.html Máis Información e outros contidos: ✔️Facebook: https://www.facebook.com/PabloChichas ✔️Twitter: https://twitter.com/pablochichas ✔️Instagram: https://www.instagram.com/pablochichas/ ✔️Clubhouse: @pablochichas ✔️Twich: https://www.twitch.tv/pablochichas

Dan Jeffries is the chief technical evangelist at Pachyderm, a leading data science platform. He's a prominent writer and speaker on all things related to the future. He's been in software for over two decades, many of those at Redhat, and is the founder of the AI Infrastructure Alliance and Practical AI Ethics. Learn more about Dan: https://twitter.com/Dan_Jeffries1 (https://twitter.com/Dan_Jeffries1) https://medium.com/@dan.jeffries (https://medium.com/@dan.jeffries) Every Thursday I send out the most useful things I've learned, curated specifically for the busy machine learning engineer. Sign up here: http://cyou.ai/newsletter (http://cyou.ai/newsletter) Follow Charlie on Twitter: https://twitter.com/CharlieYouAI (https://twitter.com/CharlieYouAI) Subscribe to ML Engineered: https://mlengineered.com/listen (https://mlengineered.com/listen) Comments? Questions? Submit them here: http://bit.ly/mle-survey (http://bit.ly/mle-survey) Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ (https://www.givingwhatwecan.org/) Timestamps: 02:15 How Dan got started in computer science 06:50 What Dan is most excited about in AI 14:45 Where we are in the adoption curve of ML 20:40 The "Canonical Stack" of ML 32:00 Dan's goal for the AI Infrastructure Alliance 40:55 "Problems that ML startups don't know they're going to have" 49:00 Closed vs open source tools in the Canonical Stack 01:00:05 Building out the "boring" part of the infrastructure to enable exciting applications 01:08:40 Dan's practical approach to AI Ethics 01:23:50 Rapid fire questions Links: https://www.pachyderm.com/ (Pachyderm) https://ai-infrastructure.org/ (AI Infrastructure Alliance) https://practical-ai-ethics.org/ (Practical AI Ethics Alliance) https://towardsdatascience.com/rise-of-the-canonical-stack-in-machine-learning-724e7d2faa75 (Rise of the Canonical Stack in Machine Learning) https://www.youtube.com/watch?v=q_KPNtmc9m8 (Rise of AI - The Age of AI in 2030) https://magenta.tensorflow.org/ (Google Magenta) https://www.youtube.com/watch?v=WXuK6gekU1Y (AlphaGo Documentary) https://www.annieduke.com/books/ (Thinking in Bets) https://www.goodreads.com/book/show/3872.A_History_of_the_World_in_6_Glasses (A History of the World in 6 Glasses) https://www.penguinrandomhouse.com/books/562923/super-thinking-by-gabriel-weinberg-and-lauren-mccann/ (Super-Thinking)

In this episode we talk with Jesse Engel, musician, Senior Research Scientist at Google Brain and creative lead of the Magenta project. Magenta is an open source research project exploring the role of machine learning as a tool in the creative process, developed by numerous researchers and engineers from the Google brain team, Google’s self directed machine intelligence group. Amongst many things we discuss the role and research focus of Magenta, look at how research lab OpenAI’s recent Jukebox project raised some necessary ethical debates around the puppeteering of living artists voices and styles, get psychedelic about how making music technology precedes spoken language, and discuss his latest exciting project.Check out the tools they have developed and reach out to Magenta here:https://magenta.tensorflow.org/If you would like to hear the full episode, consider supporting the project athttps://patreon.com/interdependence  

Downstairs at the White House (0:38)Guest: Donald Stinson, Author, “Downstairs at the White House”Media outlets these days have entire teams dedicated to sniffing out the intrigue going on inside the White House: Who's meeting with whom. Who's feuding with whom. And every one who leaves a job inside the eventually writes a tell-all memoir, but I've never read one quite like Donald Stinson's. In 1973, when he was 17 years old, Stinson talked his way into a series of low-level jobs making copies and delivering mail in the White House. He wasn't important, but he met lots of important people – often by loitering outside the Oval Office, which did not amuse the Secret Service. In the end, Don Stinson got himself a front row seat to the most momentous political events of the time, including the resignation of President Nixon. (Originally aired: 4/16/2018) A New Way to Counter the Generic Drug Shortage (27:39)Guest: Dan Liljenquist, Senior Vice President and Chief Strategy Officer for Intermountain Healthcare, Board Chair of Civica RxWhile the coronavirus dominates public health concerns in America right now, there are patients all across the country with serious conditions that are not new or mysterious who are struggling to get the medicine they need. Virtually every hospital in the US has had to delay surgery or come up with a treatment workaround because of chronic drug shortages. Most of the time these are generic drugs, so, you'd think they'd be plentiful and cheap. A group of about 750 hospitals decided they'd had enough of those shortages and formed a nonprofit drug manufacturer to be their supplier. (Originally aired 8/21/19) Artificial Music and Google Magenta (50:40)Guest: Douglas Eck, PhD, Principal Scientist, Google, Creator of the Google Magenta ProjectCould a computer listen to so much music that it learns how to compose its own – and do it even better than humans? Google has a research project called Magenta that's been working on this for years. (Originally aired 10/30/2018) Getting More Women on the Force (1:08:28)Guest: Ivonne Roman, Police Captain, Newark, New Jersey, National Institute of Justice LEADS Scholar, Cofounder of the Women's Leadership AcademyThere's a nationwide push to add more women to the ranks of law enforcement. Currently they make up less than 13 percent of police officers in the US and an even smaller percentage of law enforcement leadership. It's not that women are less capable of policing. Study after study has shown policewomen are actually better at communicating and defusing potentially violent confrontations. So why aren't there more women on the force? The problem starts with police academy, says Ivonne Roman. She's been a cop in New Jersey for 25 years. And she's co-founder of the Women's Leadership Academy to close the gender gap in policing. (Originally aired 9/4/2019) What if All Our Digital Data Had Expiration Dates? The Case for More Forgetting (1:23:48)Guest: Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation, Oxford University, Author of “Delete: The Virtue of Forgetting in the Digital Age” When was the last time you wished your memory was worse? I don't think that's even a thing. Mainly we're just trying to keep a handle on the stuff we do need to remember. But Viktor Mayer-Schonberger thinks we'd be better off if we did forget more. Specifically, he argues that our digital memory needs a purge. (Originally aired 9/9/2019)

Harold Trinkunas of Stanford Univ. talks about the Brazil elections. Jeffrey Metzner of the Univ. of Colorado explains the challenges of administering mental health care to prisoners. Google's Douglas Eck discusses artificial music and Google Magenta. J. Ward Moody of BYU deconstructs China's fake moon project. Steven Peck of BYU describes his mind-bending experience with a rare tropical disease. Erik Nook of Harvard Univ. unpacks the struggle teenagers have to decipher their emotions.

We can’t predict what kind of music people will want to make or hear in the future. But based on the sounds coming out of today's studios and clubs, it's a good bet that the tunes of tomorrow will be heavily mediated by digital technology. This week’s show asks how software has changed the way composers and performers make music, and how our tools for creating music will evolve in the near future. You’ll meet people using technology on different scales to create scores for film, television, and podcasts, classical canons, and electronic dance music. And you’ll learn about a project at Google to build “generative music” software that can jam alongside human performers. We’ve come a long way from the days of analog music engineering. More people than ever have access to advanced music-creation tools—but to make the best use of them, we’ll always need to bring our own creativity to the table. Guests include composers Joel Roston, Andrew Willis, and Rudi Seitz, EDM producer and DJ Biyeun Buczyk, music educator David Day, and Google senior research scientist Douglas Eck. The Soonish theme is by Graham Gordon Ramsay. Original score composed by Joel Roston and produced by Titlecard Music & Sound. Guest music from Rudi Seitz and Biyeun Buczyk aka DJ Beyun. For full episode details and music credits visit http://www.soonishpodcast.org

What are the opportunities for an independent artist in the 21ste century? With the power of social media on your side, they’re endless. You just gotta learn the tricks of the trades. During this conversation, we will hear how Andrew Huang capitalized the potential YouTube offers for musicians and artists, and how he stopped caring about self-imposed boundaries. His innovative mindset has brought him many partnerships, one of which we’ll explore in more detail. Composing with Artificial Intelligence and the team at Google Magenta. Full video: https://youtu.be/hqrT06TCbpk All about TNW Conference: https://tnw.to/conference

In this episode I’m joined by Taryn Southern - a singer, digital storyteller and Youtuber, whose upcoming album I AM AI will be produced completely with AI based tools. Taryn and I explore all aspects of what it means to create music with modern AI-based tools, and the different processes she’s used to create her singles Break Free, Voices in My Head, and more. She also provides a rundown of the many tools she’s used in this space, including Google Magenta, Watson Beat, AMPer, Landr and more. This was a super fun interview that I think you’ll get a kick out of. The notes for this show can be found at twimlai.com/talk/139

Time stamped show notes: [01:12] When Taryn was 17 years old, she drove across the US to audition for American Idol. She was on the show for a couple of months and competed in the finals. She forgot all of her lyrics on a national TV. She was determined that she would never perform in front of the camera again. [01:49] Went to college and studied Anthropology, instead of performing arts. [05:32] After college, went back to LA to host a pilot for Discovery Channel that led her to pursue jobs in the entertainment industry. [05:43] She was also a writer, producer, and digital media personality/YouTuber. [08:24] Movements that have taken over Hollywood and other industries [08:45] Taryn: I think I would have a very different perception as to how to go about this industry and perceiving my own power. [11:45] Humans are complicated, and a lot of us have made mistakes. Figure out how to move through these situations and come out being transparent and being more accepting and open minded so we don't leave things happening in the darkness. [12:015] We just needed to be mad. Kill the monster while it's small, and don't wait until it's hurting other people. [16:27] Started more and more YouTube videos around 2012, and it became clear that she can make it for a living doing that. She quit everything else around 2014. [16:47] She also worked for a lot of companies to produce digital content for them, help them with their digital media strategy,  get influencers into their videos. It was interesting and fun, but she realized that around 2016 she was burnt out. [17:55] She was burnt out, and she thought that this was not self-sustainable. [18:17] She was dis-empowered by the algorithms. [19:16] She started getting excited about AR VR Communities. She learned how to make VR Content, 360 and animated content. [20:06] Started playing around with AI and released a couple of singles that she composed using AI programs: IBM Watson and Amper, Google Magenta, Iva. [20:31] How AI changed the process: It depends on the AI platform and what it is build to do by different software engineers. The process really is not that different from working with a human collaborator; it just depends on the skill sets that your other collaborators bring to the table. [25:26] Humans are so biased and myopic in our thinking. In some ways, she thinks AI will going to be a big eye opener for us. [25:56] Project that was upturned by the latest event: It's a documentary that explores what  it means to be human by following scientists. [27:35] She thinks we are moving to this era of self-directed evolution, where we can pick anything basically with synthetic biology, and with AI we can create anything we want outside of ourselves. [29:24] Crypto: Started a group with two other girl friends called Ladies of Crypto, a Facebook group. [36:19] Artist are supported through advertisers, and she thinks that's destroying the art. [38:03] Exciting things learned in the last year: She can't believe how fast everything is moving with technology. Implications of this in our society are so huge.   [43:00] Taryn: I wish everyone knew that there is no one path to success. Being curious and flexible on your thinking and way of being is probably one of the greatest tool that you can have in your token right now. Three key points: Perceiving your own power. There are new ways to bring people together, collaborate, incentivize creative collaborations. Everything is moving with technology.

NOTE: This podcast is presented as a collaboration with Synthtopia.com for the presentation of people designing and implementing synthesizers. You can listen to the podcast here, on the Synthtopia website (in an embedded player) or on iTunes. But you can also read the article as well as search for information by viewing the transcription available here: http://www.synthtopia.com/content/2017/06/25/neural-audio-synthesis-with-google/ I first got to know the Magenta Project at Google when I heard a podcast with Douglas Eck. I subsequently interviewed him for my podcast, where we talked about using machine learning to do interesting work with composition. This led to an invite to meet with the team, and I got a great introduction to their work at their Mountain View headquarters, and first got to me this week's guest, Jesse Engel. But something interesting happened a few months ago: I got blindsided by the project when they put up details on their 'NSynth' project. This effort is about using machine learning for music, but not for composition - but rather for sound design. Somehow, I never saw that coming, but it really makes a lot of sense, and it comes up with some pretty interesting results. As part of this series on Synthesizer Design we've talked to people about their past work in synth design. But it is interesting to also talk to someone about the future of synthesis, how computers might be brought into play to enhance the sound design functions, and how machine learning can drive (and/or be driven into managing) massive parameter sets. Jesse Engel breaks things down for us in this talk, and we get a chance to see how big the datasets are, how all of this data might be managed, and how he goes about wrangling a bunch of scientists and statisticians into working with sound. Sometimes the work is as expected (a "better violin"), and sometimes not (the "cat flute"). It's a crazy ride, and I hope you learn as much as I did about one of the future possibilities for synth design. Enjoy!

I talk through generating 10 melodies, two of which I play at the conclusion using a model trained on thousands of midi examples contained in a .mag Magenta file bundle. I used the Biaxial RNN (https://github.com/hexahedria/biaxial-rnn-music-composition) by a student named Daniel Johnson and the Basic RNN (https://github.com/tensorflow/magenta/tree/master/magenta/models/melody_rnn#basic) by Google's Magenta group within TensorFlow and learned that priming a melody with a single note can set the key for each generated melody, and, Anaconda's single 'source activate' line replaces the need for virtualenv and installs all of the necessary dependencies to make this environment easily reproducible. 2 - 3 more details are posted at: https://medium.com/@SamPutnam/deep-learning-zero-to-one-music-generation-46c9a7d82c02

本期节目录制于20160704，主播：小猪|CrazyEMH 在美国人民举国欢庆独立日的晚上，我们从《独立日·卷土重来》聊到了一些让人愤青的事，愤青主播已上线，年轻人嘛，谁没愤青过啊。 ———— 00:30 beyond 第三个预告片放出，新歌"Sledgehammer"出炉 02:31 新歌歌词"I hit a wall" 说的是年轻Chekov扮演者 Anton Yelchin吗？ 05:08 网页内有 The official plot description: After stopping off at Starbase Earhart, a remote outpost on the fringes of Federation space, the USS Enterprise, halfway into their five-year mission, is destroyed by a powerful, unstoppable wave of unknown aliens. With the crew stranded on a unknown planet and with no apparent means of rescue, they find themselves in conflict with a new ruthless enemy who has a well-earned hatred of the Federation and what it stands for. 05:26 Starbase Earhart 11:14 Hillary Clinton promised to release Area 51 documents 11:50 一点基于纯(yin)脑(mou)洞(lun)的猜测，小朋友们不要相信哦 18:01 育碧发布星际迷航VR游戏 21:42 勘误：「NASA在研制曲速引擎」系误传，其实那只是记者们单方面想搞大新闻而已。 Is Warp Drive Real? NASA's EM Drive Test Shows 'Warp Drive' Engine Works — Does EmDrive Break Isaac Newton's Laws Of Physics? 22:19 俄罗斯计划20年内实现瞬间转移技术 23:09 FAST 五百米口径球面射电望远镜 24:08 为何要探索太空？——NASA马歇尔太空飞行中心科学部门副主管Ernst Stuhlinger博士给赞比亚修女Sister Mary Jucunda的信 中文 英文原文 32:13 官方出台粉丝电影守则 33:44 再续原初 36:26 背景音乐乃人工智能Google _Magenta_之作品 ##●本台反馈● Email: subspacesignal@qq.com, All frequencies open. 新浪微博：迷于星际迷航播客

本期节目录制于20160704，主播：小猪|CrazyEMH 在美国人民举国欢庆独立日的晚上，我们从《独立日·卷土重来》聊到了一些让人愤青的事，愤青主播已上线，年轻人嘛，谁没愤青过啊。 ———— 00:30 beyond 第三个预告片放出，新歌"Sledgehammer"出炉 02:31 新歌歌词"I hit a wall" 说的是年轻Chekov扮演者 Anton Yelchin 吗？ 05:08 网页内有 The official plot description: After stopping off at Starbase Earhart, a remote outpost on the fringes of Federation space, the USS Enterprise, halfway into their five-year mission, is destroyed by a powerful, unstoppable wave of unknown aliens. With the crew stranded on a unknown planet and with no apparent means of rescue, they find themselves in conflict with a new ruthless enemy who has a well-earned hatred of the Federation and what it stands for. 05:26 Starbase Earhart http://memory-alpha.wikia.com/wiki/Starbase_Earhart 11:14 Hillary Clinton promised to release Area 51 documents http://fusion.net/story/302651/hillary-clinton-ufo-vote/ 11:50 一点基于纯(yin)脑(mou)洞(lun)的猜测，小朋友们不要相信哦 18:01 育碧发布星际迷航VR游戏 http://blog.ubi.com/star-trek-bridge-crew-going-boldly-vr/ 21:42 勘误：「 NASA在研制曲速引擎 」系误传，其实那只是记者们单方面想搞大新闻而已。 Is Warp Drive Real? http://www.nasa.gov/centers/glenn/technology/warp/warp.html NASA's EM Drive Test Shows ‘Warp Drive' Engine Works — Does EmDrive Break Isaac Newton's Laws Of Physics? http://www.inquisitr.com/2541109/nasas-em-drive-test-warp-drive-engine-emdrive-isaac-newton-laws-of-physics/ 22:19 俄罗斯计划20年内实现瞬间转移技术 http://tech.sina.com.cn/d/i/2016-07-01/doc-ifxtsatn7874373.shtml 23:09 FAST 五百米口径球面射电望远镜 https://en.wikipedia.org/wiki/Five_hundred_meter_Aperture_Spherical_Telescope 24:08 为何要探索太空？——NASA马歇尔太空飞行中心科学部门副主管Ernst Stuhlinger博士给赞比亚修女Sister Mary Jucunda的信 中文： http://discovery.163.com/13/0616/21/91H7IVTM00014N6R.html 英文原文： http://www.lettersofnote.com/2012/08/why-explore-space.html 32:13 官方出台粉丝电影守则 http://www.startrek.com/fan-films 33:44 再续原初 36:26 背景音乐乃人工智能Google Magenta之作品 ●本台反馈● Email: subspacesignal@qq.com, All frequencies open. 新浪微博：迷于星际迷航播客

This week, Windows says Hello to wearables, Twitter says no thanks to Yahoo and the world says meh to Google Magenta's music.

This week, Windows says Hello to wearables, Twitter says no thanks to Yahoo and the world says meh to Google Magenta's music.

This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the world of machine learning and artificial intelligence. This week’s podcast looks at Facebooks' new DeepText engine, creating music & art with deep learning and Google Magenta, how to build artificial assistants and bots, and applying economics to machine learning models. For show notes visit: https://cloudpul.se/posts/twiml-facebooks-deeptext-ml-art-artificial-assistants