ImageNet has become one of the most influential visual datasets in the fields of Deep Learning and AI. More than 14 million photographs were gathered through a benchmarking effort that propelled the outbreak of Computer Vision and its wide range of applications such as surveillance, phone filters, medical imaging, biometry and autonomous cars. ImageNet is organised through 21,000 categories that are still being used today to train computational models. In September 2019, ImageNet creator Fei-Fei Li gave a talk at The Photographers’ Gallery as part of a 10th anniversary of ImageNet party, talking through the events and key people that led to the datasets creation. The event also featured a series of activities and presentations to showcase the impact of ImageNet, including a discussion by Dr. Alan Blackwell and a performace on annotation by Nicolas Malevé.
Want to learn how to build your OWN Spiderman EDITH Glasses AI prototype? Watch this tutorial series to see how I prototype my own glasses with an Intelligent AI. ⭐6-in-1 AI Mega Course – ▶Ultimate AI-CV Webinar Registration ▶Project E.D.I.T.H. Course Project EDITH Glasses DIY – Phase 1 : AI Face Detection (Spider-Man Far From Home) Hey welcome back, So I am really cool and excited to start this new series which will be to try and reproduce the tech from Spiderman Far from home, the EDITH glasses. Not sure if you guys have seen the movie, but spoiler alert … essentially Tony Stark hands down his Super Smart AI Glasses called EDITH which stands for Even Dead, Im The Hero … Classic tony. So these glasses give Peter Parker access to all of Stark Tech and also has smart Augmented Reality capability. This series will try and push the boundaries of existing technology and see how many features we can fit in this project. So just some acknowledgements to some really cool people who have worked on EDITH Glasses are The Hacksmith, JLaservideo – links to their channels below. So before we dive into our approach to this technology lets check what has already been done. We are going to take Augmented Reality to the next level! Lets see how to make smart AI glasses in this video. Shout out to: ▶Jlaservideo ▶The Hacksmith @the Hacksmith @the Hacksmith (VLOGS) we have added face recognition to [More]
Artificial Intelligence – From Science Fiction to Reality: Strategies, Challenges & Best-Practices for Cities AI, Machine Learning, Neural Networks… These concepts sound like they are just out of the lab. However, several governments are using these data-driven systems to operate infrastructure, inform or take decisions. By analysing a number of real-world AI applications in cities (directly with those using them) as well as the policy frameworks cities are putting in place to guarantee an ethical use, participants will gain insight to evaluate not just the benefits, but also the risks and ways to address them in advance. The session will discuss with practitioners from leading cities how AI systems are currently used in urban contexts, and how they are tackling the challenges and risks associated to their use. Follow the Creative Bureaucracy Festival ————– Official Website: Facebook: Twitter: Instagram: LinkedIn: About the Creative Bureaucracy Festival ————– The Creative Bureaucracy Festival is the largest festival in the world that brings together innovators in the public sector across all sectors and levels. It has been held in Berlin every year since 2018 and has since inspired partner events around the world. In 2020 and 2021, the event with 400 speakers and 150 sessions was purely digital, gathering up to 18,000 minds and ideas over a week. Central to each day was the Highlight Hour, where festival president Charles Landry and television journalist Astrid Frohloff presented the day’s highlights.
video1924266864 ____________________________________ Geordie Rose | Quantum Computing: Artificial Intelligence Is Here ideacity Geordie Rose, Founder of D-Wave (recent clients are Google and NASA) believes that the power of quantum computing is that we can `exploit parallel universes’ to solve problems that we have no other means of confirming. Simply put, quantum computers can think exponentially faster and simultaneously such that as they mature they will out pace us. Listen to his talk now! _____________________________________ Geordie Rose Warns DEMONS Are Coming – Full Talk (Kindred A.I.) Red Flag Media Things are about to get real interesting. Like/Share/Subscribe. Follow me on Twitter: ________________________________ above were in their descriptions, so i just copied and pasted
Ethics & Society: The future of AI: Views from history We hear from Dr Richard Staley, Dr Sarah Dillon, and Dr Jonnie Penn, co-organisers of an Andrew W. Mellon Foundation Sawyer Seminar on the ‘Histories of Artificial Intelligence.’ They share their insights from a year-long study undertaken with a range of international participants on what the histories of AI reveal about power, automation narratives, and how we model and understand climate change. Dr. Sarah Dillon, Reader in Literature and the Public Humanities, University of Cambridge Dr. Richard Staley, Reader in History and Philosophy of Science, University of Cambridge Dr. Jonnie Penn, Researcher at Berkman Klein Center for Internet & Society at Harvard University on LinkedIn #CogX2021 #JoinTheConversation
Stephen Lernout is a serial entrepreneur with an extensive background in Technology Sales and Marketing and has a profound knowledge of the Natural Language Processing (NLP) market. He is also a passionate fan and firm believer in the potential of Artificial Intelligence. He helped establish Miia, an AI company specialized in Natural Language Understanding (NLU) and Computational Linguistics & Semantics. He developed and implemented the company’s business model and focused on building effective, innovative and highly competitive NLU products. Miia merged into Nalantis where he is now responsible for Business Development and Innovation. Within Nalantis, he is also managing Global Partnerships for the HR Bot Unit and he is heading the CityNet Project which is leveraging AI and NLU for Cities and Citizens. Current work: Nalantis bridges the gap between Processing and actually Understanding Language. Using brute force in Natural Language Processing and Machine Learning combined with advanced statistics will only approximate meaning and thus will not deliver in terms of real text understanding. Upcoming Conference:
Check out “A Brief History of AI”, the first episode of our 4-episode series on Artificial Intelligence with Prof. Dan Cautis from Georgetown University! Part of the Future Horizons communication platform, this episode takes you back to the early days of Artificial Intelligence while highlighting the following matters: 1. Why we should question the hype; 2. AI applications from healthcare, finances and space engineering to defense, smartphones and robotics; 3. The difference between Narrow AI and Artificial General Intelligence; 4. John von Neumann and Alan Turing’s digital computer and the birth of AI; 5. Computationalism and the logic touch in calculations; 6. The leap from number crunching to AI; 7. The Golden Years of AI: the contribution of McCarthy, the ungrounded optimism of Marvin Minsky, Herbert Simon and the likes, and the classical AI paradigm; 8. The early signs of the AI winter; 9. How Machine Learning revived and renewed AI; 10. Moore’s Law and the rise of neural networks as a new field of interest and focus; 11. The paradigm shift towards machine learning; 12. Branches in machine learning: supervised learning, classification, unsupervised learning; clustering, linear regression, prediction, reinforcement learning; 13. Machine learning algorithms and concepts. Follow us for more news on technology & innovation! Facebook LinkedIn Twitter
I made an A.I. that teaches itself to drive in the racing game Trackmania, using Machine-Learning. I used Deep-Q-Learning, a Reinforcement Learning algorithm. Again, a big thanks to Donadigo for TMInterface ! Contact : Discord – Yosh#5919 Twitter – Zirtual is hiring full and part time virtual assistants to work from home Apply here Crowd Source needs freelance writers to submit short articles for weekly pay, Get paid $30 a week and up to try a free app for your iPad here Learn how to type from home for free here Can you make $1,000 a month from home? Read my honest answer to this question here Get $10 to spend from Thredup here For more ways to earn at home, please go to my official website here
As part of the AI & Cultural Heritage event, IAS Visiting Fellow Ahmad Elgammal delivers his talk ‘AI and Art, from the Micro Level to the Macro Level’ In this talk, Elgammal will present results of recent research activities at the Art and Artificial Intelligence Laboratory at Rutgers University. We investigate perceptual and cognitive tasks related to understanding human creativity in visual art. In particular, we study problems related to art styles, influence, and iconography. We develop computational models that aim at providing answers to questions about what characterizes the sequence and evolution of changes in style over time. He will talk about how AI can help analyze art in new ways, at the micro level and macro level. #LboroAI #AI #CulturalHeritage #Archives #Museums #Libraries For more information about the IAS, please visit –
Future Digital Twin 2021 Panel Discussion: How to achieve maximum value from the Digital Twin when implementing Machine Learning, Machine Vision and AI – The future of the Digital Twin – Adopting Machine learning to revolutionise the current model – The role of cognitive artificial intelligence – Human v Machine and Physical understandings v Mathematical insights – How AI intelligence plays a central role and maintaining Digital Twin Integrity – Best practices for reducing Digital Twin project risks – Lessons learned in the product lifecycle Speakers: Andrea Course, Venture Principle, Shell Julian Zec, Senior Program Manager Optimisation, Maersk Drilling Michiel Van Haersma Buma, VP of Customer Success, Akselos Debasis Bisoi, VP President Manufacturing, Digital and IoT Solutions, Tech Mahindra Dr. Robello Samuel, Chief Technology Advisor and Technology Fellow, (Well Engineering, Automation and Science, Halliburton Moderator: David Hartell, Managing Director, Stellae Energy Ltd
Real-time Facial Emotion Detection from Facial Expressions Asset is an open source software component that is developed at the Open University of the Netherlands. This work has been partially funded by the EC H2020 project RAGE (Realising an Applied Gaming Eco-System);; Grant agreement No 644187. This software component has the following advantages: 1. This real-time emotion detection asset is a client side software component that can detect emotions from players’ faces. 2. You can use it for instance in games for communication training or conflict management. Or for collecting emotion data during play-testing. 3. The software detects emotions in real-time and it returns a string representing six basic emotions: happiness, sadness, surprise, fear, disgust, and anger. It can also detect the neutral face. 4. The presence of multiple players would not be a problem as the software component can detect multiple faces and their emotions at the same time. 5. As inputs it may use the player’s webcam stream. But, it can also be used with a single image file, or with a recorded video file. 6. The emotion detection is highly accurate: the accuracy is over 83%, which is comparable with human judgment. 7. The software is written in C-Sharp. It runs in Microsoft Windows 7, 8, and 10, and it can be easily integrated in many game engines, including, for instance Unity3D. 8. This software uses the Apache-2 open source license, which means that you can use it for free, even in commercial applications. 9. The real-time [More]
Facebook Offensive Security Engineer Amanda Rousseau aka “Malware Unicorn” uses the power of Twitter to answer common questions about hacking. As an offensive security engineer, Amanda has seen just about everything when it comes computer hacking. What exactly is the difference between a black hat and a white hat hacker? Is there such thing as a red hat hacker? What’s the point of malware, is it just to be annoying? Are people who start DDoS attacks actually hackers? Amanda answers all these Twitter questions, and much more! Amanda is an Offensive Security Engineer on the Red Team at Facebook and previously worked as a Malware Researcher at Endgame, FireEye, and the U.S. Department of Defense Cyber Crime Center. Follow her on Twitter at: Still haven’t subscribed to WIRED on YouTube? ►► Get more incredible stories on science and tech with our daily newsletter: Also, check out the free WIRED channel on Roku, Apple TV, Amazon Fire TV, and Android TV. Here you can find your favorite WIRED shows and new episodes of our latest hit series Tradecraft. ABOUT WIRED WIRED is where tomorrow is realized. Through thought-provoking stories and videos, WIRED explores the future of business, innovation, and culture. Cybersecurity Expert Answers Hacking Questions From Twitter | Tech Support | WIRED Amanda is an Offensive Security Engineer on the Red Team at Facebook and previously worked as a Malware Researcher at Endgame, FireEye, and the U.S. Department of Defense Cyber Crime Center. Follow her on Twitter at: [More]
Professionisti Italiani a Boston presents a discussion on Artificial Intelligence (A.I.), where it stands and where it’s headed with CEO and Co-Founder of Neurala, Inc. Massimiliano Versace.
Economics of Artificial Intelligence Conference, Fall 2021 DATE: September 23-24, 2021 How Does AI Improve Human Decision-Making? Evidence from the AI-Powered Go Program AUTHOR(S): Sukwoong Choi, Massachusetts Institute of Technology Namil Kim, Harbin Institute of Technology Junsik Kim, KAIST Hyo Kang, University of Southern California DISCUSSANT(S): Ananya Sen, Carnegie Mellon University Amalia R. Miller, University of Virginia and NBER
This talk and related interactive demonstration aim to introduce our efforts in developing an Open data hub and Open-source simulation and optimization framework based on virtual tracks and transportation mesh networks. We will demonstrate how to deliver rapid prototyping of SCDT and enable smarter multimodal policy decisions. We will also discuss a cross-resolution modeling approach to enable consistency from discrete traffic simulation to continuous fluid queue-based model. The proposed open-data-based and open-source enabled framework also intends to create a user community of thought leaders in this emerging area across different geographically distributed communities. Within the Open-SCDT context, large-scale agent-based simulator and GMNS based modeling tools aim to engage citizens with local transportation planning by making it as easy as possible to imagine how changes might affect a person’s commute. It could be used by city authorities to interactively communicate proposed and ongoing projects, by the general public to explore and submit ideas for improving their community, and by advocacy groups to educate people about options for reducing automobile dependency.
CIS Digital Twin Days 2021 | 15 Nov. 2021 | Lausanne Switzerland Prof. Karen E. Willcox, Director, Oden Institute for Computational Engineering and Sciences, University of Texas, Austin Predictive Digital Twins: From physics-based modeling to scientific machine learning Abstract A digital twin is an evolving virtual model that mirrors an individual physical asset throughout its lifecycle. Key to the digital twin concept is the ability to sense, collect, analyze, and learn from the asset’s data. To make digital twins a reality, many elements of the interdisciplinary field of computational science, including physics-based modeling and simulation, inverse problems, uncertainty quantification, and scientific machine learning, have an important role to play. In this work, we develop a probabilistic graphical model as a formal mathematical representation of a digital twin and its associated physical asset. We create an abstraction of the asset-twin system as a set of coupled dynamical systems, evolving over time through their respective state-spaces and interacting via observed data and control inputs. The abstraction is realized computationally as a dynamic decision network. Predictive capabilities are enabled by physics-based reduced-order models. We demonstrate how the approach is instantiated to create, update and deploy a structural digital twin of an unmanned aerial vehicle.
Supervector Dimension Reduction for Efficient Speaker Age Estimation Based on the ASS presents a novel dimension reduction method which aims to improve the accuracy and the efficiency of speaker’s age estimation systems based on speech signal. Two different age estimation approaches were studied and implemented; the first, age-group classification, and the second, precise age estimation using regression. These two approaches use the Gaussian mixture model (GMM) supervectors as features for a support vector machine (SVM) model. When a radial basis function (RBF) kernel is used, the accuracy is improved compared to using a linear kernel; however, the computation complexity is more sensitive to the feature dimension. Classic dimension reduction methods like principal component analysis (PCA) and linear discriminant analysis (LDA) tend to eliminate the relevant feature information and cannot always be applied without damaging the model’s accuracy.
Mathias Ekman from Microsoft speaks about the future of Life science powered by AI and Genomics. #pharma #ai #science #genomics #conference #dubrovnik #pharmaceuticals #panel #future #learning #talks #keynote Get your tickets for this NEXT 2021 event now:
Explore an overview of the developments in the machine learning ecosystem at Google that can be applied across your ML powered apps, from hobby projects to cutting-edge research. Speaker: Nadav Eiron (VP, Engineering) Watch all Google’s Machine Learning Virtual Community Day sessions → Subscribe to the TensorFlow channel → #MLCommunityDay product: TensorFlow – General; event: ML Community Day 2021; fullname: Nadav Eiron; re_ty: Publish;
Elon Musk Artificial Intelligence Neuralink are three of the most discussed topics in the world of technology. Elon Musk has been warning us about the dangers of AI for a longtime. .Many widely regarded scientist, like Stephen Hawking, Steve Wozniak and Bill Gates, have already expressed their concerns that super-intelligent AI could go out of control and be an existential threat to humans. And Elon musk thinks Neuralink is going to help us in the future to solve the AI problem. By the outstanding performance of Neuralink in recent days we already know Neuralink is going to change the world in future. But what is Neuralink going to do in terms of saving Humanity from Artificial Intelligence? It is going to play a massive role actually.  Watch the video till the end.  And Subscribe to ProSitas to watch wonderful videos on Science, Technology and History:-  Some Clips used in the video  —————————————————————- Elon Musk interview with Jonathan Nolan:- Elon Musk interview with Jack Ma :- Elon Musk interview with Joe Rogan :- ————————————————————— Music used in this video  ————————————————————— Fragments – AERØHEAD Creative Commons — Attribution-ShareAlike 3.0 Unported — CC BY-SA 3.0 Free Download / Stream: Music promoted by Audio Library —————————————————————
Presented by: Keith Galli In the past year, massive developments have been made in the natural language processing field. Improvements in areas such as question answering, machine translation, and sentiment analysis have opened up doors to utilize NLP more effectively than ever before. In this tutorial we will perform a brief overview of the field of NLP and look at the Python libraries that allow us to utilize different techniques and models. We will start with simple, traditional approaches to NLP that will provide us baseline for our models. As we progress in the tutorial we will look at some more advanced concepts that can give quick boosts to model performance. We will end by introducing state-of-the-art language models and how we can incorporate them into applications that we build. Tutorial resources: