WWDC: Artificial intelligence robotic car from Anki is demoed at Apple keynote
In this keynote, we announced the launch of Databricks Machine Learning, the first enterprise ML solution that is data-native, collaborative, and supports the full ML lifecycle. This launch introduces a new purpose-built product surface Databricks ML provides a solution for the full ML lifecycle by supporting any data type at any scale, enabling users to train ML models with the ML framework of their choice and managing the model deployment lifecycle – from large scale batch scoring to low latency online serving. Additionally, we announced two machine learning capabilities. First, Databricks Feature Store, the first feature store codesigned with a data and MLOps platform. Second, Databricks AutoML, a ‘glass box’ approach to autoML that accelerates model development without sacrificing control and transparency. Finally, this keynote covers and end-to-end demo of Databricks Machine Learning. Register for free to see the rest of the keynotes and exciting announcements live, plus over 200+ sessions. Learn from the creators and top contributors of technologies like PyTorch, TensorFlow, MLflow, Delta Lake, Apache Spark, Hugging Face, DBT and more. https://databricks.com/dataaisummit/north-america-2021 Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc/
Nvidia GPU Technology Conference (GTC) 2017 Keynote- 1. Moore’s Law is finished 2. Project Holodeck – Allows collaborate on photo-realistic models in Virtual Reality (VR) 3. Demo of Deep Learning (DL) and Ray Tracing 4. Introducing the Tesla V100 – The most advanced deep learning GPU 5. Next-generation DGX-1 6. GPU accelerated cloud 7. Toyota selects Nvidia’s Drive PX platform for its autonomous platform 8. Integrated Robot Simulator ISAAC – Robot learns in VR instead of physical movements
Google CEO Sundar Pichai started off the 2018 developer fest on a rather cheesy note! He spoke about fixing bugs in things that matter such as the burger emoji and floating foam on beer mug emoji! And, Artificial Intelligence had to be on top of things. Google aims to open AI centres around the world, and utilise machine learning for revolutionising healthcare. Listen-in. ►Subscribe to The Economic Times for latest video updates. It’s free! – http://www.youtube.com/TheEconomicTimes?sub_confirmation=1 ►More Videos @ ETTV – http://economictimes.indiatimes.com/TV ►http://EconomicTimes.com ►For business news on the go, download ET app: Google Play – https://market.android.com/details?id=com.et.reader.activities iTunes – http://itunes.apple.com/us/app/the-economic-times/id474766725?ls=1&mt=8 Windows Store – http://www.windowsphone.com/en-US/apps/d73c2150-6acf-445b-b810-19a004b5d3e8 ►ET elsewhere: https://www.facebook.com/EconomicTimes http://twitter.com/economictimes https://plus.google.com/+TheEconomicTimes/ https://www.instagram.com/the_economic_times/ https://www.linkedin.com/company/the-economic-times
Recorded on Mar 23 at GCP NEXT 2016 in San Francisco Speakers (in order of appearance): Click on the time links to skip ahead to the speakers you would like to hear from. [0:08] Sundar Pichai, CEO Google [4:50] Diane Greene, SVP, Google [20:57] Eric Schmidt, Executive Chairman, Alphabet [40:43] Urs Hölzle, SVP, Technical Infrastructure, Google [56:00] Brian Stevens, VP, Google Cloud Platform [56:50] Alan Boehme, CTO, The Coca-Cola Company [1:03:50] Greg Wilson, Head of Developer Advocacy, Google Cloud Platform [1:10:38] Greg Demichillie, Director, Google Cloud Platform [1:25:40] Mike White, CTO & SVP, Disney Interactive [1:31:07] Greg Demichillie, Director, Google Cloud Platform (Demo) [1:39:28] Brian Stevens, VP, Google Cloud Platform (Data Products) [1:42:42] Nicholas Harteau, VP, Infrastructure, Spotify [1:58:43] Jeff Dean, Senior Fellow, Google
NVIDIA CEO Jensen Huang delivers the #GTC21 keynote, where he introduced amazing breakthroughs in building virtual worlds with NVIDIA Omniverse; in advancing enterprise computing with new NVIDIA DGX systems and software; in turning the data center into the new unit of computing with the new NVIDIA Grace CPU, BlueField-3 DPU, and DOCA 1.0 SDK; in broadening the reach of AI to all companies and industries with NVIDIA EGX and Aerial 5G; and in transforming transportation with NVIDIA DRIVE Orin and Atlan. Discover more content with the over 1600 free GTC sessions at https://www.nvidia.com/en-us/gtc/ 00:00 Countdown 13:01 For the Da Vincis of Our Time 21:34 Connecting and Creating Shared Virtual Worlds in Omniverse 39:06 The Data Center is the New Unit of Computing 43:55 DGX – The Essential Instrument for AI Research 48:49 DGX and the Language of Discovery 58:49 Amazing Grace – an Arm CPU for Giant-Scale AI and HPC 1:07:02 EGX – AI Computing Platform for Enterprise and Edge 1:17:45 The TAO of Conversational AI, Recommenders, Virtual Conferencing, and More 1:35:21 Driving the Next Big Tech Industry 1:45:05 GTC 2021 Summary GTC Homepage: https://www.nvidia.com/en-us/gtc/ Watch the Keynote on NVIDIA: https://www.nvidia.com/en-us/gtc/keynote Follow NVIDIA on Twitter: https://twitter.com/NVIDIAGTC https://twitter.com/NVIDIA
SAP Chief Technology Officer and Executive Board Member Juergen Mueller takes the stage at #SAPTechEd Las Vegas 2019, to discuss leading concepts and #technologies of the intelligent enterprise including key end-to-end #business processes infused with #intelligence. Together with his guests, Juergen shows how SAP is evolving the digital platform into a business technology platform, ensuring out-of-the-box integration, modularity, ease of extension, and consistent experience across business processes in an intelligent enterprise. http://sap.to/60571GKGl
Dynamic Keynote Speaker for Business Conferences This keynote speech covers big data, artificial intelligence, machine learning, exponential technologies and disruptive innovation. Patrick Schwerdtfeger uses case histories and success stories to explain the technology trends reshaping our world. This event was for Protiviti in San Francisco in June, 2017. Patrick introduces a series of predictive models and frameworks to anticipate where the trends are leading. In the 1960s and 70s, the big innovation was electricity, and businesses added it to every product imaginable. Now in the 2020s and 30s, the big innovation is artificial intelligence, and businesses will be systematically adding AI to everything. Machine learning will optimize performance for everything. Indeed, we are optimizing our planet, business by business and region by region. Businesses need to stay abreast of technology developments to ensure they don’t get disrupted along the way. Patrick Schwerdtfeger is a business futurist who specializes in technology trends including big data, deep learning and blockchain. This is a 60-minute keynote presentation for a group of 300 managers in the consulting industry. Technology is evolving along an exponential curve. And since technology is the driving force behind disruptive innovation, today’s business executives need to think exponentially to stay relevant and competitive. The problem is that, as humans, we are hardwired to think in linear terms. We have to train ourselves to think in exponential terms, and that’s what this presentation is about. Patrick studies use cases and success stories. He follows where the venture capital and private equity [More]
Humanity will change more in the next 10 years than the previous 100 years. Does your organization pride itself on its people (talent) and its culture? If you are an executive or a leader, are you investing enough in the skills and the MINDSET of your people in order to steer your company through the coming waves of exponential technological progress and disruption? All too often, scientific breakthroughs and the latest tech-hype or the constant concerns about jobs and economic growth dominate discussions about our future. Yet as the world is rapidly going digital and becoming more virtual, at the same time, I believe it actually is our humanity that needs the most attention, and that it will be our humanness that will make all the difference in a world dominated by algorithms and smart machines. Technology that will inevitably outpace us in mere processing power, logic and efficiency – and the ‘End of Routine’ is a certainty. Therefore I believe that our future is to become more human, not less; not to compete with the machines but to use their increasing competence to get commodity tasks done better and faster – As a tool but not as a purpose. Machines, computers and algorithms should have competence not consciousness. Consider these Game-Changers: Data is the new oil, artificial intelligence is the new electricity, the Cloud is the new living room, and the Internet of Things is becoming the new nervous system. Digital giants and social media platforms have replaced banks [More]
Author & Founding Director of Oxford University’s Future of Humanity Institute, Nick Bostrom, discusses the implications and potential effects of artificial intelligence and developments in technology at IP EXPO Europe 2016
Learn about the latest and greatest in machine learning (ML) from Google! We cover what’s available to developers when it comes to creating, understanding, and deploying models for a variety of different applications. From Responsible AI to TensorFlow 2.5, mobile devices, microcontrollers, and beyond. We cover new releases and tools, and you hear about the latest from the Google Cloud Platform, and how to enable an end-to-end machine learning pipeline. Resources: ML Kit: turnkey APIs to use on-device ML in mobile apps → https://goo.gle/3elLJv9 TensorFlow Hub for real world impact → https://goo.gle/2QNjY5H Machine learning for next gen web apps with TensorFlow.js → https://goo.gle/3v6cwBg Speakers: Kemal El Moujahid, Sarah Sirajuddin, Craig Wiley Watch more: TensorFlow at Google I/O 2021 Playlist → https://goo.gle/io21-TensorFlow-1 All Google I/O 2021 Keynotes → https://goo.gle/io21-keynotes All Google I/O 2021 Sessions → https://goo.gle/io21-allsessions Subscribe to TensorFlow → https://goo.gle/TensorFlow #GoogleIO #ML/AI product: TensorFlow – General; event: Google I/O 2021; fullname: Kemal El Moujahid, Sarah Sirajuddin, Craig Wiley; re_ty: Premiere;
PyData LA 2018 I will present some way in which tensor methods can be combined with deep learning, and demonstrate through Jupyter notebooks on how easy it is specify tensorized neural networks. — www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Alphabet, Inc. Executive Chairman Eric Schmidt discusses the future of AI in the context of national security.
Sign up for our free livestream: https://odsc.com/boston/livestream/ In this video, watch this special keynote talk from Hilary Mason about “The Present and Future of Artificial Intelligence and Machine Learning” during the Open Data Science Conference in Boston 2019. Hilary is a data scientist at Accel Partners, as well as the founder of technology at her startup, Fast Forward Labs. Do You Like This Video? Share Your Thoughts in Comments Below Visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops: https://odsc.com/ Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/ Follow Us Online! Facebook: https://www.facebook.com/OPENDATASCI/ Instagram: https://www.instagram.com/odsc/ Blog: https://opendatascience.com/ Linkedin: https://www.linkedin.com/company/open-data-science/ Learning Videos: https://learnai.odsc.com #ODSC #AI #MachineLearning
Emerging Technologies: How advances in science and technology could transform the ways we live, work and learn Rohit Talwar, Founder & CEO, Fast Future Research We are living in an age of unprecedented change, much of it driven by technology. In this opening keynote, Rohit Talwar explores the implications for our daily lives, with particular emphasis on what these changes mean for how we learn – whether at work or in our daily lives. Artificial intelligence and robotics are one area of current explosive growth which will undoubtedly impact work and learning. When most routine tasks are automated, what role is left for us? It may be rather more than you would expect – but also very different from our work today. But if AI will change the way we work and learn, other mega shifts will have equally profound, if less obvious, impacts. Our increased lifespans will impact both society and how companies organise, and this in turn will shift the way we approach learning for work, as adopting new skills and knowledge becomes a lifelong preoccupation. Similarly, an interconnected world means that the market for skills alters radically. Combined with crowd sourcing and new models of business and revenue generation, we can expect the future of work to be very different to today – and with that, the future of learning at work to be radically altered, too. http://www.learningtechnologies.co.uk/
Today, thousands of scientists and engineers are applying machine learning to an extraordinarily broad range of domains, and over the last five decades, researchers have created literally thousands of machine learning algorithms. Traditionally an engineer wanting to solve a problem using machine learning must choose one or more of these algorithms to try, and their choice is often constrained by their familiar with an algorithm, or by the availability of software implementations. In this talk we talk about ‘model-based machine learning’, a new approach in which a custom solution is formulated for each new application. We show how probabilistic graphical models, coupled with efficient inference algorithms, provide a flexible foundation for model-based machine learning, and we describe several large-scale commercial applications of this framework. We also introduce the concept of ‘probabilistic programming’ as a powerful approach to model-based machine learning, and we discuss a specific probabilistic programming language called Infer.NET, which has been widely used in practical applications. See more on this video at https://www.microsoft.com/en-us/research/event/faculty-summit-2017/
Kate Crawford is a leading researcher, academic and author who has spent the last decade studying the social implications of data systems, machine learning and artificial intelligence. She is a Distinguished Research Professor at New York University, a Principal Researcher at Microsoft Research New York, and a Visiting Professor at the MIT Media Lab. December 5th, 2017
Learn about the latest product and platform innovations at Google in a Keynote led by Sundar Pichai. This video is also subtitled in Chinese, Indonesian, Italian, Japanese, Korean, Portuguese, and Spanish. Access Google Pay Business Console to get your Merchant ID → https://goo.gle/2KYRrDx Rate this session by signing-in on the I/O website here → https://goo.gl/Gea8Mx 10 minute recap video here → https://goo.gl/jmCF4S Google I/O 2018 All Sessions Playlist → https://goo.gl/q1Tr8x Subscribe to the Google Developers channel → http://goo.gl/mQyv5L Music by Terra Monk → https://goo.gl/wPgbHP
Researchers and leaders from academia, hospitals, government and industry gathered for two days at the 2019 Big Data in Precision Health conference at Stanford Medicine to spark collaborations, address challenges, and identify actionable steps for using large-scale data analysis and technology to improve human health. Jeff Dean, PhD, of Google gave a keynote talk. For more information, visit https://bigdata.stanford.edu/
Sign up for our free livestream: https://odsc.com/boston/livestream/ In this video, listen to Dr. Pieter Abbeel on the “Recent Advances and Trends in AI”. Dr. Abbeel is a professor at the University of California, Berkeley, the Director of the Berkeley Robot Learning Lab, and the Co-Director of the Berkeley AI Research (BAIR) Lab. Do You Like This Video? Share Your Thoughts in Comments Below Visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops: https://odsc.com/ Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/ Follow Us Online! Facebook: https://www.facebook.com/OPENDATASCI/ Instagram: https://www.instagram.com/odsc/ Blog: https://opendatascience.com/ Linkedin: https://www.linkedin.com/company/open-data-science/ Learning Videos: https://learnai.odsc.com #ODSC #AI #MachineLearning
Joseph Sirosh, Corporate Vice President in the Artificial Intelligence and Research group at Microsoft discusses how artificial intelligence combined with geospatial data is used to make better decisions. See more 2018 Esri Developer Summit Plenary: http://p.ctx.ly/r/6yx9 ————————————————————————————————————————–  Follow us on Social Media! Twitter: https://twitter.com/Esri Facebook:  https://facebook.com/EsriGIS LinkedIn: https://www.linkedin.com/company/esri Instagram: https://www.instagram.com/esrigram   The Science of Where  http://www.esri.com
In Part 1 of this 9 part Keynote, NVIDIA CEO Jensen Huang sets the stage for #GTC20 by describing the exciting future of AI and welcomes the company’s developer community, now 2 million strong. Watch the latest I AM AI video to see how the world is facing its greatest challenges. Learn more about the major announcements in data centers, edge #AI, collaboration tools and healthcare: https://nvda.ws/3izN0xu GTC Homepage: https://www.nvidia.com/en-us/gtc/ Watch the Keynote on NVIDIA: https://www.nvidia.com/en-us/gtc/keynote/ #GTC20 #IAMAI Follow NVIDIA on Twitter: https://twitter.com/NVIDIAGTC https://twitter.com/NVIDIA
This talk was presented at PyBay2018 – the Bay Area local Python conference. See pybay.com for more details about PyBay and click SHOW MORE for more information about this talk. Abstract: Algorithms are increasingly used to make life-changing decisions about health care benefits, who goes to jail, and more, and play a crucial role in pushing people towards extremism. Through a series of case studies, I want to debunk several misconceptions about bias and ethics in AI, and propose some healthier principles. Slides: https://goo.gl/ThXJQm Presenter: Rachel Thomas is co-founder of fast.ai, which is making deep learning more accessible, and a researcher-in-residence at University of San Francisco Data Institute. Rachel has a mathematics PhD from Duke and has previously worked as a quant, a data scientist + backend engineer at Uber, and a full-stack software instructor at Hackbright. Rachel was selected by Forbes as one of 20 “Incredible Women Advancing A.I. Research.” She co-created the course “Practical Deep Learning for Coders,” which is available for free at course.fast.ai and more than 50,000 students have started it. Her writing has made the front page of Hacker News 4x, the top 5 list on Medium, and been translated into Chinese, Spanish, & Portuguese. She is on twitter @math_rachel This and other PyBay2018 videos are brought to you by our Gold Sponsor Cisco!
Learn about the latest product and platform innovations at Google in a Keynote led by Sundar Pichai. Watch more #io19 here: Google I/O 2019 All Sessions Playlist → https://goo.gle/io19allsessions Learn more on the I/O Website → https://google.com/io Subscribe to the Google Developers Channel → https://goo.gle/developers Get started at → https://developers.google.com/