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Happy

#artificialintelligence

Clap along, if you feel like that's what you wanna do Back in 2014, hip-hop producer Pharrell Williams wrote Happy for his friend Cee Lo Green, and had him record the song to include on Pharrell's upcoming album. Unfortunately, Cee Lo Green's record label executives vetoed the song's release, believing it would subtract attention from Green's own upcoming album. Upset but unfazed by this idiotic slight toward him, Pharrell recorded a new version of the song himself, and simply released that instead. "Happy" went on to become one of the singular most popular recorded songs in history, breaking every record one single song can break along the way and sending Pharrell's career to new and rarified heights. We are pleased to announce the Women Leaders of Conversational AI, Class of 2023: approximately 200 women who themselves have shown perseverance in their own careers as they've worked to impact the conversational AI / voice technology continuum.


How I'd start learning machine learning again (3-years in)

#artificialintelligence

I'm underground, back where it all started. Sitting at the hidden cafe where I first met Mike. I'd been studying in my bedroom for the past 9-months and decided to step out of the cave. Half of me was concerned about having to pay $19 for breakfast (unless it's Christmas, driving Uber on the weekends isn't very lucrative), the other half about whether any of this study I'd been doing online meant anything. In 2017, I left Apple, tried to build a web startup, failed, discovered machine learning, fell in love, signed up to a deep learning course with zero coding experience, emailed the support team asking what the refund policy was, didn't get a refund, spent the next 3-months handing in the assignments four to six days late, somehow passed, decided to keep going and created my own AI Masters Degree.


Zoltan Istvan on AI, Transhumanism, Politics and Ethics

#artificialintelligence

Zoltan Istvan is a former journalist, political candidate, entrepreneur, bestselling author, and founder of the US Transhumanist Party. He has been on this podcast twice before when we discussed Istvan's presidential campaign and his bestselling novel The Transhumanist Wager. During this 1-hour conversation with Zoltan Istvan, we cover a variety of interesting topics such as the challenge of doing graduate school at Oxford, Quantum Archaeology; Trump, transhumanism, politics, and conflict; the Immortality or Bust documentary; microchipping refugees and selling off public lands; the ethics of doing damage now in the hope of fixing it later; technosolutionism and why Technology is Not Enough; longevity, entrepreneurship, and healthcare; the distinction between a body with a brain vs a brain with a body; the timeline to AGI, mind-uploading and indefinite life extension. As always you can listen to or download the audio file above or scroll down and watch the video interview in full. To show your support you can write a review on iTunes, make a direct donation, or become a patron on Patreon.


AI Sentience: I asked OpenAI about Google Lamda and Blake Lemoine

#artificialintelligence

The following is a conversation with an AI assistant. The assistant is helpful, creative, clever, and very friendly. Human: Hello, who are you? AI: I am an AI created by OpenAI. How can I help you today?


Brian Eno on Why He Wrote a Climate Album With Deepfake Birdsongs

WIRED

The title of Brian Eno's new album ForeverAndEverNoMore sounds fairly doom and gloom. When you realize the name is inspired by a book on the fall of the Soviet Union it sounds even more so. Ultimately, though, its tone and message could be a hopeful one: Things can change--and change quickly. Eno is probably best known as an endlessly inventive ambient music pioneer and prolific producer/collaborator who has worked with the likes of David Byrne, David Bowie, and Grace Jones. But more recently, his eyes have been on the planet.


AI reveals what the Kardashians would look like without cosmetic work

#artificialintelligence

Artificial intelligence has predicted what the Kardashian-Jenner family would look like if they had aged naturally. The famous family, who are known for their love of cosmetic enhancements, appear very different in a digitally altered video that recently went viral on TikTok. The clip, created by popular Australian streamers Vandahood Live, estimates what Kim Kardashian, Kylie Jenner, Khloe Kardashian, Kris Jenner and Kourtney Kardashian would look like today without cosmetic intervention. A viral TikTok video has revealed using artificial intelligence (AI) what the Kardashian-Jenner family would look like if they had aged naturally. In the video, footage from last year's Keeping Up with the Kardashians finale special is played alongside doctored versions of the same clip.


Skillcircle Wins GAISA 2022 Awards for Excellence and Innovation in AI Education - FutureTech

#artificialintelligence

Skillcircle has won the 2022 Global Artificial Intelligence Summit & Awards. Skillcircle was recognized as the winner in the ‘Excellence and Innovation in AI Education. They integrated Education with Capstone projects to give exposure to the students and Data professionals. Skillcircle, the global leader in providing technology education, has won the 2022 Global Artificial Intelligence Summit & Awards. Skillcircle was recognized as the winner in the ‘Excellence and Innovation in AI Education. All the awards were announced at the 3rd edition of the GAISA summit held recently. They integrated Education...


Deep Hierarchical Super Resolution for Scientific Data

arXiv.org Artificial Intelligence

We present a novel technique for hierarchical super resolution (SR) with neural networks (NNs), which upscales volumetric data represented with an octree data structure to a high-resolution uniform grid with minimal seam artifacts on octree node boundaries. Our method uses existing state-of-the-art SR models and adds flexibility to upscale input data with varying levels of detail across the domain, instead of only uniform grid data that are supported in previous approaches. The key is to use a hierarchy of SR NNs, each trained to perform 2x SR between two levels of detail, with a hierarchical SR algorithm that minimizes seam artifacts by starting from the coarsest level of detail and working up. We show that our hierarchical approach outperforms baseline interpolation and hierarchical upscaling methods, and demonstrate the usefulness of our proposed approach across three use cases including data reduction using hierarchical downsampling+SR instead of uniform downsampling+SR, computation savings for hierarchical finite-time Lyapunov exponent field calculation, and super-resolving low-resolution simulation results for a high-resolution approximation visualization.


The Appeal of Scientific Heroism

The New Yorker

In 2008, the journalist Jonah Lehrer paid a visit to a lab in Lausanne, Switzerland, to profile Henry Markram, a world-renowned neuroscientist. Markram, a South African, had trained at a series of élite institutions in Israel, the United States, and Germany; in the nineties, he published foundational papers on neural connections and synaptic activity. Markram's work in the laboratory, which involved piercing neural membranes with what Lehrer described as an "invisibly sharp glass pipette," was known for its painstaking precision. Lehrer's visit, however, had been occasioned not by Markram's incremental contributions to the field--it's not easy to sell a colorful profile on the basis of such publications as "The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability"--but by Markram's pivot, in the early two-thousands, to brain simulation. Neuroscience, Markram declaimed to Lehrer, had reached an impasse. Researchers had generated an enormous wealth of fine-grained data, but the marginal returns had begun to diminish.


University of Washington computer science professor Yejin Choi wins $800K 'genius grant'

University of Washington Computer Science

Yejin Choi, a University of Washington computer science professor and senior research manager at Seattle's Allen Institute for Artificial Intelligence (AI2), won a $800,000 "genius grant" given annually by the John D. and Catherine T. MacArthur Foundation. Choi, one of 25 MacArthur Fellows for 2022 revealed Wednesday, is an expert in natural language processing. Her work aims to improve the ability of computers and artificial intelligence systems to perform commonsense reasoning and understand implied meaning in human language. "This is such a great honor because there have been only two other researchers in the natural language processing field who have received this award," Choi told UW News. Choi spoke to GeekWire earlier this year about the debate over a robot's ability to have human-like feelings.