Google has taken a new leap forward in AI, building its most advanced natural language processing into an Everyday Robots helper robot that can understand (and act on) normal human speech. CNET’s Claire Reilly speaks to AI expert Stephen Shankland about what this tech means for the future of humanity. 0:00 Intro 0:38 How the Robot Works 1:17 PaLM-SayCan AI explained 2:14 Robot Demos: How Does the Robot Understand Colours and Objects? 3:01 The Robot Builds a Hamburger 4:06 How Does It Compare to Other Moving and Talking Robots? 5:11 Google Robot Home Helper vs. Amazon Astro 5:52 Google Robot vs. Boston Dynamics 6:34 The Future of Google Robotics and AI Read Stephen Shankland’s full story on Google’s new robotic AI tech at CNET: Subscribe to CNET: Never miss a deal again! See CNET’s browser extension 👉 Follow us on TikTok: Follow us on Instagram: Follow us on Twitter: Like us on Facebook:
AI Documentary: What happens when you put an A.I. Language model in a physical robot? Lets find out. Everyday Robots: — About ColdFusion — ColdFusion is an Australian based online media company independently run by Dagogo Altraide since 2009. Topics cover anything in science, technology, history and business in a calm and relaxed environment. » ColdFusion Discord: » Twitter | @ColdFusion_TV » Instagram | coldfusiontv » Facebook | » Podcast I Co-host: » Podcast Version of Videos: ColdFusion Music Channel: ColdFusion Merch: INTERNATIONAL: AUSTRALIA: If you enjoy my content, please consider subscribing! I’m also on Patreon: Bitcoin address: 13SjyCXPB9o3iN4LitYQ2wYKeqYTShPub8 — “New Thinking” written by Dagogo Altraide — This book was rated the 9th best technology history book by book authority. In the book you’ll learn the stories of those who invented the things we use everyday and how it all fits together to form our modern world. Get the book on Amazon: Get the book on Google Play: Sources: Google Introduces A New AI Robot Model Called ‘PaLM-SayCan’ That Allows Alphabet-Developed Robots To Better Understand the User’s commands and Respond Correctly can you spot which images are made by AI? test yourself by answering the polls below 👇 — a pink dress in the field — (1/10) — Michaël Trazzi (@MichaelTrazzi) September 11, 2022 My Music Channel: //Soundtrack// Burn Water – Take Flight Sleepy Fish – School [More]
🐱‍👤LEARN HACKING 🐱‍👤 BUY My Hacking Courses 🐱‍👤 1. HACKSTARS: 2. Tech Master Hacking Course: 3. Quick Hack: Buy with your Debit/Credit/Netbanking Quick Hack: 299 Rs Tech Master: 299 Rs HACKSTARS: 299 Rs Or (Ya fir) Get Hacking Course With Paytm: _________________________________________________________________ Hello Friends In this video, I will talk about computers and the human brain. We all know the human brain is smarter than computers but we also know that we are slower in terms of calculation and computing. Why we are slower in calculations? How we can become faster? What are the possibilities behind this whole thing. Watch this video to know more about this topic. My New Facebook Page: Twitter: @iamasagar Instagram: My Collar Mic: My Camera Lens: My Smartphone: My Graphics Card: ======================================================
In this unedited conversation with head of TED Chris Anderson, Elon Musk — the head of Tesla, SpaceX, Neuralink and The Boring Company — digs into the recent news around his bid to purchase Twitter and gets honest about the biggest regret of his career, how his brain works, the future he envisions for the world and a lot more. (Recorded at TED2022 on April 14, 2022) This live interview includes an excerpt from another exclusive, extended conversation recorded a few days earlier at Tesla’s Texas Gigafactory. Watch that full video here: 1:22 Tesla Texas Gigafactory interview clip 11:34 Elon Musk live at TED2022 11:48 Twitter, free speech and open-sourcing the algorithm 27:40 Tesla and short sellers 32:02 If you could go back in time and change one thing, what would it be? 33:44 Electric vehicles, manufacturing and sleeping on the floor of the Tesla factory 38:04 “At this point I think I know more about manufacturing than anyone currently alive on Earth.” 39:15 Elon’s “Master Plan” and accelerating a sustainable energy economy 42:36 SNL, Asperger’s, childhood and how Elon’s brain works 46:48 “I was absolutely obsessed with truth.” 49:23 Philosophy, the meaning of life and the “why” of things 51:43 What the future will look like 52:37 “We want to do our absolute best to make sure the future is … something you can look forward to and not feel sad about.” If you love watching TED Talks like this one, become a TED Member to support our [More]
(Visit: Are intelligent machines possible? If they are, what will they be like? Jeff Hawkins, an inventor, engineer, neuroscientist, author and entrepreneur, frames these questions by reviewing some of the efforts to build intelligent machines. He posits that machine intelligence is only possible by first understanding how the brain works and then building systems that work on the same principles. He describes Numenta’s work using neocortical models to understand the torrent of machine-generated data being created today. He will conclude with predictions on how machine intelligence will unfold in the near and long term future and why creating intelligent machines is important for humanity. Series: “UC Berkeley Graduate Council Lectures” [12/2012] [Science] [Show ID: 24412]
Embodied Artificial Intelligence: Building brain and body together in bio-inspired robots Theme: Brains and Machines Abstract: Our brains grow together with our mechanical bodies, and the developmental process of embodiment plays significant roles in shaping the structures of neuronal circuits and information processing. In this talk, I will be introducing some of our attempts to apply an engineering approach to the development of artificial brains for bio-inspired robots of various kinds (e.g. walking, hopping, crawling, swimming, and dancing robots), and discuss how this synthetic methodology could lead to our further understanding of embodied intelligence. Short biography: Fumiya Iida is a Professor of Robotics at Department of Engineering, University of Cambridge, the director of Bio-Inspired Robotics, and the director of Cambridge Observatory for Human Machine Collaboration. He received his bachelor and master degrees in mechanical engineering at Tokyo University of Science (Japan, 1999), and Dr. sc. nat. in Informatics at University of Zurich (2006). In 2004 and 2005, he was also engaged in biomechanics research of human locomotion at Locomotion Laboratory, University of Jena (Germany). From 2006 to 2009, he worked as a postdoctoral associate at the Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology in USA . In 2006, he awarded the Fellowship for Prospective Researchers from the Swiss National Science Foundation, and in 2009, the Swiss National Science Foundation Professorship for an assistant professorship at ETH Zurich from 2009 to 2015. He was a recipient of the IROS2016 Fukuda Young Professional Award, Royal Society Translation Award in [More]
📚 Order Michael Sandler’s “Automatic Writing Experience” book: ➡️ 🌠 Join Michael’s School of Mystics! ➡️ ❤️ Join The INner Circle YouTube membership ➡️ ✅ Get behind the scenes access! ✍️ Automatic Writing 101 – Thurs, Sept 16th, 2021 👉Turn your journaling into channeling! ➡️ Reserve your spot! ✅ Learn to connect with your inner wisdom and spirit guides ✅ Get access to 40+ video lessons + Monthly LIVE calls 🌟 Private Coaching with Michael Sandler ➡️ ✅ Request a FREE 15-minute strategy session! 🌟 Visit our website ➡️ 🌟 Listen to the podcast: Apple Podcasts ➡️ Spotify ➡️ Google Podcasts ➡️ 🌟Follow us: Facebook ➡️ Instagram ➡️ Twitter ➡️ Get smarter at any age! If you’ve ever wanted to have a sharper mind with greater focus, better memory, more patient, creativity and resilience, then this interview with Dr. Michael Merzenich, the “father of brain plasticity” is for you! Learn how to exercise your mind and get it sharper than ever. Learn how to keep your mind strong into your golden years, and for seniors, how you can roll back the clock, and get a smarter brain at any age. And for parents, key tips to help your kids grow up smarter, and more engaged than ever! Dr. Michael Merzenich is the pioneer in brain plasticity, or the ability to change the brain. According to him, the brain is not fixed as we’ve been taught, but can work [More]
The long term goal for Elon Musk and brain to computer interfaces (brain chips) is to merge our minds with artificial intelligence. While the short term goal for Neuralink and other companies is to help people with medical issues. This short documentary video takes a look at connecting our brains to computers, and how this works is explained. We also take a look at the downsides of people connecting their brains, the technology being used today, and Elon Musk’s thoughts. Other topics in the video include: • How in the future we could download and upload our memories and dreams so they are not forgotten • The different types of brain to computer implants and devices • Updates (demonstrating and testing on pigs, and soon humans) and a summery of where we are today with this technology • Tutorial on how it works • And what other sci-fi like things will brains connected to computers allow us humans to do
Yoshua Bengio is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. Bengio received his Bachelor of Science, Master of Engineering and PhD from McGill University. Recorded: September 8, 2017
SUBSCRIBE to our channel for more brainy bits: Ai’s are diagnosing cancer, driving cars, acting as police agents, and it seems that judging their decisions are not as easy as we first think. Are we more forgiving when a machine makes a mistake? Would you trust an AI to be in charge? Let’s find out with Cesar A. Hidalgo, the mastermind of collective learning from MIT! — About Brain Bar Brain Bar, the biggest European festival on the future brings together the world’s most exciting visions. Lively, ambitious and unique, Brain Bar creates the stage for top trendsetters, decision-makers and challengers to exchange ideas in unusual and unrestrained conversation. Follow us: Official website: Facebook: Instagram: Twitter: LinkedIn:
Watch Google’s Jeff Dean talk about Google Brain and the Brain Residency Program. Jeff will will discuss the current state of the Google Brain Team, Tensorflow, the future directions of Brain and tell you a bit more about our Google Brain Residency Program (2017 application open now! Check out for more info! The first part of the video gives an overview of the work going on in the Google Brain team, and at 32:56 is a discussion about the specifics of the Brain Residency program. Links from the presentation: Brain Team link : Brain Residency Program link: TensorFlow: Github Links: TensorFlow github: TensorFlow/Magenta: ​ Links to papers: TensorFlow whitepaper – Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection – Adversarial examples in the physical world – Concrete problems in AI Safety – Photo credits: Scott Alan Miller, “Liesl Sleeping on the Couch.” Craig Chew-Moulding, “Green Kite Monster.” Jeff Martyka, Ultimate photo.
June 13, 2020 Joscha Bach: Artificial Consciousness and the Nature of Reality | AI Podcast #101 with Lex Fridman “Meditation is just a bunch of techniques that let you control attention. And when you can control attention you can get access to your own source code. And then you can change the way it works.” “The system needs to pay attention to the features that are currently in its focus. And it also needs to pay attention to whether it pays attention itself. In part because the attentional system gets trained with the same mechanism so it’s reflexive but also in part because your attention lapses if you don’t pay attention to the attention itself. So is this thing that I’m currently seeing just a dream that my brain has spun off into some kind of daydream or am I still paying attention to my percept? So you have to periodically go back and see whether you are still paying attention. And if you have this loop and you make it tight enough between the system becoming aware of the contents of its attention and the fact that it’s paying attention itself and makes attention the object of its attention I think this is the loop over which we wake up.” – Joscha Bach Joscha Bach: The Ghost in the Machine: An Artificial Intelligence Perspective on the Soul (2018) Joscha Bach: Reconciling Consciousness with Physicalism (2019) Joscha Bach: Machine Dreams (2016) Joscha Bach [More]
Presented at Cognitive Computational Neuroscience (CCN) 2017 ( held September 6-8, 2017.
SUBSCRIBE to our channel for more brainy bits: Your mind.exe has stopped working. Do you wish to continue? Ben Goertzel, Chief scientist of Hanson Robotics and co-creator of the world’s most famous android citizen, Sophia imagines how the “upload my mind” button will look like in the future. — About Brain Bar Brain Bar, the biggest European festival on the future brings together the world’s most exciting visions. Lively, ambitious and unique, Brain Bar creates the stage for top trendsetters, decision-makers and challengers to exchange ideas in unusual and unrestrained conversation. Follow us: Official website: Facebook: Instagram: Twitter: LinkedIn:
Full episode with Joscha Bach (Jun 2020): Clips channel (Lex Clips): Main channel (Lex Fridman): (more links below) Podcast full episodes playlist: Podcasts clips playlist: Podcast website: Podcast on Apple Podcasts (iTunes): Podcast on Spotify: Podcast RSS: Joscha Bach, VP of Research at the AI Foundation, previously doing research at MIT and Harvard. Joscha work explores the workings of the human mind, intelligence, consciousness, life on Earth, and the possibly-simulated fabric of our universe. Subscribe to this YouTube channel or connect on: – Twitter: – LinkedIn: – Facebook: – Instagram: – Medium: – Support on Patreon:
Watch the newest video from Big Think: Join Big Think Edge for exclusive videos: ———————————————————————————- ———————————————————————————- ABOUT BIG THINK: Smarter Faster™ Big Think is the leading source of expert-driven, actionable, educational content — with thousands of videos, featuring experts ranging from Bill Clinton to Bill Nye, we help you get smarter, faster. S​ubscribe to learn from top minds like these daily. Get actionable lessons from the world’s greatest thinkers & doers. Our experts are either disrupting or leading their respective fields. ​We aim to help you explore the big ideas and core skills that define knowledge in the 21st century, so you can apply them to the questions and challenges in your own life. Other Frequent contributors include Michio Kaku & Neil DeGrasse Tyson. Michio Kaku Playlist: Bill Nye Playlist: Neil DeGrasse Tyson Playlist: Read more at for a multitude of articles just as informative and satisfying as our videos. New articles posted daily on a range of intellectual topics. Join Big Think Edge, to gain access to a world-class learning platform focused on building the soft skills essential to 21st century success. It features insight from many of the most celebrated and intelligent individuals in the world today. Topics on the platform are focused on: emotional intelligence, digital fluency, health and wellness, critical thinking, creativity, communication, career development, lifelong learning, management, problem solving & self-motivation. BIG THINK EDGE: If you’re interested in licensing this or any other Big Think clip for commercial [More]
Share on Facebook: Is it possible for us to significantly boost our intelligence within a lifetime? Studies show that changes in our lifestyle like exercise and nutrition can help increase brain power – but these improvements are modest at best. Perhaps the future of intelligence will come in the form of a brain implant? We’ve already seen some amazing research to get computers and brains to communicate more easily – and the future implications are limitless! If you could boost any part of your mental faculties, what would it be and why? Let us know in the comments below! ——————————————————– Subscribe to Fw:Thinking: For the audio podcast, blog and more of Moore’s Law explained, visit the Fw:Thinking website: Fw:Thinking on Twitter: Jonathan Stickland on Twitter: Fw:Thinking on Facebook: Fw:Thinking on Google+:
Automated decision making tools are currently used in high stakes scenarios. From natural language processing tools used to automatically determine one’s suitability for a job, to health diagnostic systems trained to determine a patient’s outcome, machine learning models are used to make decisions that can have serious consequences on people’s lives. In spite of the consequential nature of these use cases, vendors of such models are not required to perform specific tests showing the suitability of their models for a given task. Nor are they required to provide documentation describing the characteristics of their models, or disclose the results of algorithmic audits to ensure that certain groups are not unfairly treated. I will show some examples to examine the dire consequences of basing decisions entirely on machine learning based systems, and discuss recent work on auditing and exposing the gender and skin tone bias found in commercial gender classification systems. I will end with the concept of an AI datasheet to standardize information for datasets and pre-trained models, in order to push the field as a whole towards transparency and accountability. About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: Connect with us: Website: Facebook: Twitter: LinkedIn: Instagram:
GEORDIE ROSE (CEO OF D-WAVE QUANTUM COMPUTERS) SAID, “Nobody is paying attention. This A.I. construct is happening in the background while the bickering continues on politics and healthcare. As a metaphor, think if an alien race sent a message to earth that it would be here in 10 years. The entire world would pool resources to figure out how to stop it. Well, A.I. is just like that, it’s coming quickly. These “Alien Beings” that we’re creating are not gonna be like us. They’ll be like those ‘Aliens’ and way more intelligent. H.P. Lovecraft espoused this view of ‘cosmicism’ (cosmic indifference). Essentially, as a metaphor for A.I., there are more advanced ‘entities’ out there that are neither good nor evil, but they don’t give a sh!t about you in the slightest. The same way you don’t care about an ant, is how they don’t care about you.” He continues, “On that pleasant note, we’re hiring people to try to make something like this happen. I’m sort of a bit “tongue in cheek” about all this because it’s really agnostic. Technology can be used for good or for evil. If you want to a say in how this all goes down, you can’t sit on the sidelines, you have to get involved. Because the code that you write may be in use in these ‘A.I. entities’ in the next 10 years.” —- THAT NEW AGE MANTRA “WE ARE ALL ONE” IS DIGITALLY COMING TRUE Elon Musk said, “We are unequivocally headed [More]
Full episode with Joscha Bach (Jun 2020): Clips channel (Lex Clips): Main channel (Lex Fridman): (more links below) Podcast full episodes playlist: Podcasts clips playlist: Podcast website: Podcast on Apple Podcasts (iTunes): Podcast on Spotify: Podcast RSS: Joscha Bach, VP of Research at the AI Foundation, previously doing research at MIT and Harvard. Joscha work explores the workings of the human mind, intelligence, consciousness, life on Earth, and the possibly-simulated fabric of our universe. Subscribe to this YouTube channel or connect on: – Twitter: – LinkedIn: – Facebook: – Instagram: – Medium: – Support on Patreon:
Magnimind Academy TV Presents – Deep Learning 101: Artificial Intelligence Based On The Brain – Tyler Suard, April 7th, 2020 In the last few years, AI has made some huge strides, all thanks to Deep Learning. “Deep Learning” is a phrase that gets thrown around a lot, and is often synonymous with AI. What does it mean, and what is so “Deep” about it? In this class, we will explore this new and exciting type of artificial intelligence, so revolutionary that it has led to breakthroughs like computer vision, self-driving cars, and autonomous drones. About Magnimind Academy ——————————————– Magnimind helps people to experience a career change or improve developer skills with its enthusiastic team and 10+ years experienced lecturers. We organize regular courses, weekly boot camps and daily meet-ups to transfer the knowledge. We select promising applicants from our wide range of admissions and try to help them as much as possible not only in education process but also after finishing the program to find the best jobs with that knowledge. As Magnimind team, we believe the power of integrity with the information age. In that way, we are trying to become a source code for people to excel in their endeavors. Magnimind’s Mission: We create opportunities for people to comply with the technology and help them to improve that technology for the good of the World. Our main motivation is to serve for the good and educate people in the direction of leading innovation. We provide chances for people [More]
Is the brain a computer? (0:00) Interviews and opinions (0:55) Blue Brain Project (2:47) Working memory (3:23) Neural computation (5:00) K-computer simulation (5:59) What is reality? (6:59) Schrodinger’s Cat and the Copenhagen interpretation (8:06) Outro (8:29) Bonus (9:04) ———————————————————————————————————– Credits and attributions Special thank you to Kelly Tung, Giulia Salgari, and Ashwin Jaini for their kind help recording interviews, to Iman M.Rezazadeh, PhD for appearing in our video (2:30) and to Matthew Choffin ( for his invaluable advice on how to make a great video on a modest budget. MUSIC Don’t Change a Thing – Silent Panther (0:00) The Coldest Shoulder – The 126ers (2:48) Kicked up pumps – Audionautix (5:19) Blue Feather-Reunited – Kevin MacLeod (7:00, 9:10) Beethoven’s 9th Symphony, Finale – Ludwig Van Beethoven (Youtube Audio Library, 8:57) BLUE BRAIN PROJECT VIDEO IMAGES RIKEN Advanced Institute for Computational Study (0:15): K-computer system board (0:18): Laughing people (0:35): Enigma machine (0:45):áquina_Enigma_(344555996).jpg Double slit experiment (7:34): All other images used in this video are taken from copyright free sources or otherwise do not require attribution. If you are the copyright holder of an image used in this video and believe that it was used mistakenly without your permission, please contact Knowing Neurons.
If you’re interested in licensing this or any other Big Think clip for commercial or private use, contact our licensing partner Executive Interviews: A.I. can perform tricks, but can it truly think? Cognitive scientist Joscha Back explains where we are on the path to artificial general intelligence, and where we need to be. The human mind can invent its own code and create models of arbitrary things—including itself—but we don’t know how to build a mind quite like that just yet. To achieve A.G.I., will programmers have to re-create every single functional mechanism of the human brain? Read more at Follow Big Think here: YouTube: Facebook: Twitter: If you look at our current technological systems they are obviously nowhere near where our minds are. They are very different. And one of the biggest questions for me is: What’s the difference between where we are now and where we need to be if we want to build minds—If we want to build systems that are generally intelligent and self-motivated and maybe self-aware? And, of course, the answer to this is ‘we don’t know’ because if we knew we’d have already done it. But there are basically several perspectives on this. One is our minds as general learning systems that are able to model arbitrary things, including themselves, and if there are this, they probably need a very distinct set of motivations, needs; things that they want to do. I think that humans get their specifics [More]