You might have seen Ben on Joe Rogan. | Richard is at Claim free HEX tokens! The first high interest blockchain Certificate of Deposit (time deposit.) Get rich this bull market! Programmed to pump. Stake it till you make it! Richard Heart: Blockchain thought leader, cryptocurrency investor, author, serial entrepreneur, Bitcoin OG The snapshot will occur December 2nd at the first Bitcoin block mined after 00:00:00 UTC. You must have access to the private keys to your Bitcoin address having a balance at that exact blockheight to be able to submit a claim after. If you have a normal or segwit bitcoin address, you are very likely to be eligible to claim. To read more about which addresses are eligible, please visit The HEX contract will be targeted for launch at 00:00:00 UTC the next day after the snapshot. You will have a day to gather up ETH and convert BTC into ETH to join the Adoption Amplifier on day 1. This way you can both FreeClaim and then transform the BTC to ETH to transform into HEX via the AA system. If you don’t already have BTC it’s very likely you will make much more HEX buying ETH to send to the AA system, than by buying BTC just to FreeClaim with it. The math is here: Remember that stakers make more HEX the more people that free claim, so you might want to spread your 20% referral links that people [More]
Here we talk about the future role of layers, how their job will change, and how they can best prepare for the 4th industrial revolution.
Sep.14 — Kai-Fu Lee, former Google China President, Sinovation Ventures CEO & “AI 2041” author speaks with Emily Chang to discuss how artificial intelligence will transform society in twenty years and the impact of regulation on the world’s largest tech companies.
Recorded on June 30, 2021 Amy Zegart is the Morris Arnold and Nona Jean Cox Senior Fellow at the Hoover Institution, where she chairs the Working Group on Technology, Economics, and Governance. She’s also a professor of political science at Stanford, and an expert on intelligence, cybersecurity, and big tech. In this wide-ranging conversation, Professor Zegart discusses the US relationship with China and how she views that country’s aggressive stance toward Taiwan; why big tech companies are a potential threat not only to privacy, but also to our national security; and why the next war may well be fought with a keyboard rather than on a battlefield. For further information: Interested in exclusive Uncommon Knowledge content? Check out Uncommon Knowledge on social media! Facebook: Twitter: Instagram:
Some ASEAN countries may be on the road to economic recovery, but many economists warned that it won’t be smooth. CABA ASEAN Summit 2020 brings a panel of experts to address how technology like AI, deep tech and blockchain to act as a tech enabler for the businesses and governments. The panel led by Anndy Lian has covered the following topics: – How technology like AI, deep tech and blockchain will affect lives? – How AI can help in good data and 5G – How to tackle teething problems such as security for AI? – How can blockchain technology improve on security aspects of things? – Do you really trust AI? – What should investors and people who want to get into the technology industry look at? What is the future? Moderated by: – Anndy Lian, Advisory Board Member of Hyundai DAC Panel members: – Dr Andrew Wu, Founder & Chief Executive Officer, Meshbio Pte Ltd – Sheeram Iyer, Chief Executive Officer & Founder, Prisma Global – Stephen Ho, Group Chief Operating Officer, Skylab Group
Artificial intelligence has the potential to impact all areas of life and work in the future. What kind of research are large companies such as Google undertaking in the area of artificial intelligence? What impacts will, for instance, new machine learning systems have on health care or industry? When will computers be able to read and understand a book the way humans do? Jeff Dean, Ph.D., who joined Google in 1999, focuses on such questions – and their answers – in his daily work leading Google Research and Google Health. On 21 April 2021, Jeff gave a virtual talk at TU Berlin about the newest research findings emerging out of Google Research. These include the future impacts of machine learning on health care, robotics, speech comprehension, and the development of new tools for science. He also spoke about how machine learning is changing aspects of computer hardware and software systems, and share his vision for the future of responsible machine learning models.
Ethics of AI – Solo Talk by Laura Montoya at Change Catalyst’s Tech Inclusion Conference in San Francisco, CA in October 2018. Learn more at by Check out more: Join an upcoming event: Youtube: Podcasts: Blog posts: Tweets: Facebook:
Famed artificial intelligence expert Toby Walsh speaks to Alex and John about AI, Machine Learning, the future of technology and what society may look like in the not so distant future. Tech Society podcasts are accessible across these platforms: Website: LinkedIn: Spotify: iTunes: Google: Twitter:
Are we in danger of ingraining deep-seated prejudices into the technology we use on a daily basis? Our panel of experts will come together to discuss and debate the issues as well as explore solutions to the risks of bias in tech. Speakers include: Ortis Deley (chair): The Gadget Show presenter, radio DJ and actor who has appeared as a guest technology reporter on programmes including BBC One’s The One Show and BBC Breakfast News. Alexander Fefegha: co-founder & director of creative technology at design studio COMUZI. Alice Piterova: Managing Director of AI for Good, the social enterprise building AI-powered products for the most vulnerable and underserved. Charlton McIlwain: Professor of Media, Culture, and Communication at NYU Steinhardt & author of Black Software: The Internet & Racial Justice, From the AfroNet to Black Lives Matter’ (Copies available to purchase here ) This event is a part of the Science Museums Group’s Open Talk programme, a series of events that aims to promote STEM to everyone and to encourage an understanding of both the causes and effects of discrimination. Find out more about Open Talk Captions, provided by Stagetext, are available by selecting the “Subtitles/Closed Captions” icon above. **** Thank you for watching. Your support makes events like this happen. Since the pandemic first hit we have lost 95 of every 100 visitors we would normally welcome to the Science Museum. In these challenging times, we need your support now more than ever. We will continue our mission to [More]
Technical tools like artificial intelligence (AI) and machine learning are now established aspects of business practice. They are applied across many industries to drive efficiency, improve cybersecurity, mitigate risk, and boost customer experiences. Is your organisation fully harnessing these technologies, or are there gaps where AI and machine learning could further enhance your business operations? At this Imperial Business Breakfast Imperial’s Professor Marcin Kacperczyk and Gord Graylish provide academic and industry perspectives on present and future disruptive technologies. Learn more on the Imperial AI & Machine Learning in Financial Services Programme:
For more episodes of the Go Beyond Disruption podcast go to:
Over this past year, there have been many inspiring examples of resilience by organizations who have reassessed their circumstances and revised strategic plans in order to adapt and thrive in the face of so much change. CIOs and other executives have confidently led this journey and have proven they can bounce back. Moderated by Protocol’s Joe Williams, Deloitte executives Scott Buchholz and Beena Ammanath engaged in conversation on the emerging technologies most likely to disrupt industries over the next 18-24 months, shared stories from leading organizations driving change with technology, and uncovered smart, strategic insights that favor growth in the current tech landscape. Lead a tech-enabled future with confidence. #techtrends
Banjo founder Damien Patton explains how he decided to focus on building the world’s first “crystal ball” after identifying a suspect during the 2013 Boston Marathon bombing. #ArtificialIntelligence #DamienPatton #Startup Get social with Inc. on: Facebook: Twitter: Linkedin:–magazine Instagram: Pinterest:
The 7 Most Disruptive Software Engineering Trends of 2021 (disruptive innovation & 2021 tech trends) As we begin our journey into 2021, we thought we’d investigate the software engineering trends that are most likely to be at the forefront of innovation in the coming months. To help us do so, we tapped the experience and knowledge of Dr. Jeff Jensen (CEO & Co-Founder of Keto AI) and Martin Do (Software Solutions Architect, and Ex-Microsoft Engineer). SUBSCRIBE to Kofi Group: ____________ 00:00 – Intro 01:14 – Think-Less and No-Code 02:17 – IoT 03:19 – React & Flutter 04:06 – AI & Machine Learning 06:44 – Cloud & DevOps 08:08 – Remote Work 10:18 – Cyber Security 13:03 – How these trends will impact software engineering 13:55 – How to take advantage of these trends 15:19 – Unpopular Opinions * Website: Blog article version: Remote jobs: Kofi Group helps startups outcompete FAANG (Facebook, Amazon, Apple, Netflix, Google) and big tech in the highly competitive, war for talent. Our videos cover hiring tips and strategies for startups, software engineering and machine learning interview preparation, salary negotiation best practices, compensation analysis, computer science basics, artificial intelligence, tips for other recruiters, and much more! Hit the SUBSCRIBE button and we’ll see you in the comments! __________ Music – Throwaway 2 by XIAO-NIAO __________ #kofigroup #disruptiveinnovation #softwareengineer #softwareengineering #machinelearning #cybersecurity #reactjs #flutter
Driverless vehicles will be the most disruptive technology in all history. They will be more disruptive than the invention of the wheel, fire, and electricity because they will disrupt more people over a shorter period of time. Here’s 8 scenarios that explain why –
Is the artificial intelligence we see in science fiction movies at all realistic? Many tech industry experts believe the idea of a superintelligent or sentient AI is greatly exaggerated and many years away. But there’s AI already in the works to help solve real-world problems that can improve people’s lives. Amazon, Google, AI and us: Are we too close for comfort?: Dan Patterson on Twitter: #ArtificialIntelligence #AI #CNET Subscribe to CNET: CNET playlists: Download the new CNET app: Like us on Facebook: Follow us on Twitter: Follow us on Instagram:
Motorized Precision. Bleeding edge dope tech at its finest. Robots by MP: Robot that shot Kendrick Lamar video: MKBHD Merch: Video Gear I use: Tech I’m using right now: Intro Track: Natural by Moe Shop ~
AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and developer-focused machine learning with Amazon Machine Learning. For more in-depth deep learning applications, the AWS Deep Learning AMI lets you run deep learning in the cloud, at any scale. Launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to train sophisticated, custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances. Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to improve scale and efficiency with the AWS Cloud. Learning Objectives • Learn about the breadth of AI services available on the AWS Cloud • Gain insight into practical use cases for Amazon Lex, Amazon Polly, and Amazon Rekognition • Understand why Amazon has selected MXNet as its deep learning framework of choice due its programmability, portability, and performance
New Permanent & New Normal – Predictive Automation and New Business Models – Robots vs. People E3 Family & Business (FAB) – Book Videos with Reg Athwal (Produced by Reg Athwal TV – The Family Business Channel) Featured Book: The Rise of the Robots Author: Martin Ford Website: Copyright: 2015 by Martin Ford Publishers: Oneworld Publications Fair Use Policy: Brief articles or quotations embodied in this book are presented as a review for educational purposes only Rise of the Robots: Technology and the Threat of a Jobless Future is a book by American futurist Martin Ford. Rise discusses the impact accelerating change and artificial intelligence will have on the labor market. In this Book Video we discuss: 1. Routine vs. Predictions linked to Data and Jobs 2. Automation and New Business Models – Robots vs. People 3. The End of Middle-Class Jobs & Birth of Part-Time Employment Please share the video and subscribe to Reg Athwal TV to view all future TV shows. We want to inspire as many families in business globally. I have over 3,000 books in my library and looking to share weekly Book Videos on books that I have read, re-read, actioned and that have made an impact on my personal Family or Business life, and in turn helped Families and Businesses I’ve interacted with as clients over 3 decades. Connect with Reg Athwal for any of the following: 1. Scheduling in a FREE Private “ZOOM” Family Business Advisory Call 2. Invitation to our Family [More]
Vote for Women Tech Charge in the Webby’s People’s Voice: – last day to vote Thursday 7th May! Professor Maja Pantic helps machines understand human emotion. She’s a world leading expert in machine learning, deep learning and artificial intelligence. In her roles at Imperial College London and as head of Samsung AI lab she is developing diverse real-world applications for using machines to help humans understand the world. In this episode of Women Tech Charge she joins Anne Marie to discuss how intelligent robots can help autistic children emotionally interact with others, how ‘deep-fake’ videos can be used for good, and how she believes humanity is progressing toward mind-to-mind communication, which will lead to the end of lying. It’s a fascinating conversation! Subscribe to the Evening Standard on YouTube: Listen to all episodes of Women Tech Charge now on Apple Podcasts, Spotify and all major podcast platforms: Follow Professor Maja Pantic on twitter: @MajaPantic70 Anne Marie Imafidon is on Twitter @aimafidon and Instagram @notyouraverageAMI
Banjo CEO, Damien Patton Speaks on the Ethics of Artificial Intelligence and Protecting Data
To learn more, please visit: Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning. In this tech talk, we will introduce you to the concepts of Amazon SageMaker including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment of ML models. With zero setup required, Amazon SageMaker significantly decreases your training time and the overall cost of getting ML models from concept to production. Learning Objectives: – Learn the fundamentals of building, training & deploying machine learning models – Learn how Amazon SageMaker provides managed distributed training for machine learning models with a modular architecture – Learn to quickly and easily build, train & deploy machine learning models using Amazon SageMaker
This is the whole cover up video of machine learning expert Tanmay Bakshi. Tanmay Bakshi is a self-taught teenager developer who developed several apps and source code from the age of five. His parents immigrated from Delhi, India to Brampton, Canada in 2004 when he was one year old. Father Puneet Bakshi is a computer programmer. Mother Sumita is a housewife. Tanmay is World’s Youngest IBM Watson Programmer. He started coding at the age of five. He set up a YouTube channel when he was seven to post tutorials about web development and coding. He finished his first iOS app in Apple’s App Store at the age of nine. At the age of 11 while uploading a video on YouTube he first time heard about artificial intelligence. At the age of thirteen, he started working with Artificial intelligence The name of his first app was tTables which helps in learning multiplication tables [6] Till he is only 14 yrs old he published a book, hosted a TEDx Talk and become speaker at IBM Watson summits around the world which include country like Finland, New Zealand, Denmark and Australia. His latest work is in health section using the neural network, a computer system modeled on the human brain. Copyright Credits: Background Sound : Alan Walker – Force [NCS Release] Thumbnail Credit: The Lingo Freaks:Galgotias University
There’s a false narrative surrounding artificial intelligence (AI): that it cannot be regulated. These idea stems, in part, from a belief that regulations will stifle innovation and can hamper economic potential, and that the natural evolution of AI is to grow beyond its original code. In this episode of Big Tech co-hosts David Skok and Taylor Owen speak with Joanna J. Bryson, professor of ethics and technology at the Hertie School of Governance in Berlin (beginning February 2020). Professor Bryson begins by explaining the difference between intelligence and AI, and how that foundational understanding can help us to see how regulations are possible in this space. “We need to be able to go back then and say, ‘okay, did you file a good process?’ A car manufacturer, they’re always recording what they did because they do a phenomenally dangerous and possibly hazard thing … and if one of them goes wrong and the brakes don’t work, we can go back and say, ‘Why did the brakes not work?’ And figure out whose fault [it] is and we can say, ‘Okay, you’ve got to do this recall. You’ve got to pay this liability, whatever.’ It’s the same thing with software,” Bryson explains. It is the responsibility of nations to protect those inside its borders, and that protection must extend to data rights. She discusses how the EU General Data Protection Regulation — a harmonized set of rules that covers a large area and crosses borders — is an example international cooperation [More]
“There’s a proliferation of unstructured data. Companies collect massive amounts of news feed, emails, social media, and other text-based information to get to know their customers better or to comply with regulations. However, most of this data is unused and untouched. Natural language processing (NLP) holds the key to unlocking business value within these huge data sets, by turning free text into data that can be analyzed and acted upon. Join this tech talk and learn how you can get started mining text data effectively and extracting the rich insights it can bring. We will also demonstrate how you can build a text analytics solution with Amazon Comprehend and Amazon Relational Database Service. Learning Objectives: – Get an introduction to Natural Language Processing (NLP) – Learn benefits of new approaches to analytics and technologies that help empower better decisions, e.g., NLP, data prep – Build a text analytics solution with Amazon Comprehend and Amazon Relational Database Service in a step by step demo”