“Conscious machines? A sober-minded approach”, talk by Dr. Susan Schneider

How do we enable decentralised control of AI, and ultimately AGI? In his presentation at the 2019 Rise of AI Conference, Dr. Goertzel presents SingularityNET’s approach to mustering the power of decentralized AI and connecting the centralised, corporate world to open source, decentralised technology.

—-

SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol.

We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents.

Website: https://singularitynet.io
Forum: https://community.singularitynet.io
Telegram: https://t.me/singularitynet
Twitter: https://twitter.com/singularity_net
Facebook: https://facebook.com/singularitynet.io
Instagram: https://instagram.com/singularitynet.io
Github: https://github.com/singnet
Linkedin: https://www.linkedin.com/company/singularitynet

Alexandre presented a connection between the trends in the use of AI for infrastructure in the world and how Brazil could benefit from this type of technology. [English CC]

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Connect with Singularity University:
Website: http://su.org
Blog: https://su.org/blog/
Hub: http://singularityhub.com
Facebook: https://www.facebook.com/singularityu
Twitter: https://twitter.com/singularityu
Linkedin: https://www.linkedin.com/company/singularity-university

About Singularity University:
Singularity University is a benefit corporation headquartered at NASA’s research campus in Silicon Valley. We provide educational programs, innovative partnerships and a startup accelerator to help individuals, businesses, institutions, investors, NGOs and governments understand cutting-edge technologies, and how to utilize these technologies to positively impact billions of people.

Singularity University
http://www.youtube.com/user/SingularityU

Beyond cryptocurrencies: AI enabled financial technologies, possible existential risks and a need for reorganization of financial infrastructure.

Joscha Bach, Ph.D. is an AI researcher who worked and published about cognitive architectures, mental representation, emotion, social modeling, and multi-agent systems. He earned his Ph.D. in cognitive science from the University of Osnabrück, Germany, and has built computational models of motivated decision making, perception, categorization, and concept-formation. He is especially interested in the philosophy of AI and in the augmentation of the human mind.

Joscha has taught computer science, AI, and cognitive science at the Humboldt-University of Berlin and the Institute for Cognitive Science at Osnabrück. His book “Principles of Synthetic Intelligence” (Oxford University Press) is to appear later this year.

Joscha authored Seven Principles of Synthetic Intelligence, Representations for a Complex World: Combining Distributed and Localist Representations for Learning and Planning, Enhancing Perception and Planning of Software Agents with Emotion and Acquired Hierarchical Categories, and MiniPsi, der Mac-Roboter, and coauthored MicroPsi: Contributions to a Broad Architecture of Cognition, The AEP Toolkit for Agent Design and Simulation, The Artificial Emotion Project Handbook, Mental Models for Robot Control, Designing Agent Behavior with the Extensible Agent Behavior Specification Language XABSL, and Using pattern matching on a flexible, horizon-aligned grid for robotic vision.

Currently, he is working as an entrepreneur in Berlin, Germany.

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Something unusual happened at Davos this year: new ideas coming not from the usual collection of rich and famous, their symbiotic journalists, or even from political activists. This was the voice of creation rooted outside of the wealthy world and put into action by hands-on builders empowered by tools such as blockchain and AI, centered on human needs, and creating a new realities outside of traditional hierarchy and authority. It was imagination in action, curated by MIT’s Alex Pentland and John Werner.

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Artificial Intelligence (AI) seems to be everywhere today – with applications in almost all fields of modern science. From robotics and biology to chemical engineering and healthcare, applying AI positions most scientific fields for progress. What exactly is AI? Are we ready to take advantage of AI and understand its impact on science and society? A distinguished group of researchers and experts discussed in the ETH pavillion at WEF 2019 about conceptual opportunities, but also current practical and abstract limitations.

Date and Time
23 January 2019, 18:00-19:30h

Moderation
Chris Luebkeman (Arup Foresight)

Panelists
Eric Horvitz (Microsoft)
Marc Pollefeys (ETH Zurich/Microsoft)
André Loesekrug-Pietri (JEDI)
Sophie-Charlotte Fischer (ETH Zurich)

In this panel discussion at the Blockshow Conference 2019, we examine what some of the best minds in AI and blockchain think about how technological advancement is changing the world, and how AI and Blockchain are intrinsically linked.

The panellists are:

Dr Ben Goertzel the CEO of SingularityNET, Toufi Saliba the CEO of Todalarity and Toda Network, Chirdeep Singh Chhabra the founder of Ocean Protocol, David Lake the CEO of Rejuv, and Cole Sirucek the co-founder and CEO of DocDoc. The panel was moderated by Chantel Costa the Director of Development for DAIA.
—-

SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol.

We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents.

Website: https://singularitynet.io
Forum: https://community.singularitynet.io
Telegram: https://t.me/singularitynet
Twitter: https://twitter.com/singularity_net
Facebook: https://facebook.com/singularitynet.io
Instagram: https://instagram.com/singularitynet.io
Github: https://github.com/singnet
Linkedin: https://www.linkedin.com/company/singularitynet

Patrick Grigat, Customer Engineer at Google, talks about intelligent conversational interfaces and Chatbots with Google DialogFlow.

DevFest 2019 → https://goo.gle/372VJ69
Subscribe to Google Developer Groups → https://goo.gle/GDevGroups

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JCB Official page : https://www.jcb.com/en-in/products/backhoe-loaders/3dx-ecoxcellence

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Moving beyond supervised deep learning

Watch Yoshua Bengio, Professor of Computer Science and Operations Research at Université de Montréal on stage at World Summit AI Americas 2019. americas.worldsummit.ai

A common goal for the brightest minds from Stanford and beyond: putting humanity at the center of AI. Watch the Stanford HumanAI Symposium, featuring Bill Gates, Kate Crawford, Reid Hoffman, California Governor Gavin Newsom and many more gathered to discuss our shared dream of a better future.

The accelerated pace of success in machine learning applications reflects significant improvements in specialized hardware, algorithms, and access to data. Corporations now know that they need to deploy machine learning rapidly, but they are unsure about best practices. Public sentiment has shifted from skepticism to fears of runaway AI, as well as employment, privacy, and ethical issues. The future success of machine learning depends on our ability to capture competitive advantages and manage downside risks effectively.

Subscribe: http://bit.ly/1Wq6gwm

Connect with Singularity University:
Website: http://su.org
Blog: https://su.org/blog/
Hub: http://singularityhub.com
Facebook: https://www.facebook.com/singularityu
Twitter: https://twitter.com/singularityu
Linkedin: https://www.linkedin.com/company/singularity-university

About Singularity University:
Singularity University is a benefit corporation headquartered at NASA’s research campus in Silicon Valley. We provide educational programs, innovative partnerships and a startup accelerator to help individuals, businesses, institutions, investors, NGOs and governments understand cutting-edge technologies, and how to utilize these technologies to positively impact billions of people.

Singularity University
http://www.youtube.com/user/SingularityU

Panelists include Jeff Dean, Alison Gopnik, Demis Hassabis, and Chris Manning.

Magic Leap’s digital character Mica interacts with human Tatjana at GDC 2019.

How can we use machine learning and predictive analytics in the classroom?

Simon Harper from Killara High School, NSW shares the journey his school has undertaken in AI to set students up for success in the future.

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Andrew Ng speaks about the progress of AI, how to accelerate AI adoption, and what’s around the corner for AI at Amazon re:MARS 2019 in Las Vegas, Nevada.

Want to leverage AI to drive business value across your company? Get started by taking AI for Everyone at coursera.org/learn/ai-for-everyone!

Co-chair of the Gates Foundation, Bill Gates sits down with AI4ALL alumni for a special conversation.

Understanding how society changes itself as it develops intelligence-extending technologies is key to recognising appropriate measures for both developing and regulating AI. In this talk Professor Joanna J Bryson roots “AI ethics” in the history and even prehistory of intelligent artefacts like language and writing, then describes the role of intelligence and communication in cooperation and competition. From here she looks at the political economy of distance-reducing technologies more generally, and information communication technologies, including AI in particular. Finally she makes concrete recommendations about what this implies about how we should incorporate AI technologies into our discourse, households, and laws. For more information about Joanna and her talk, and a podcast interview, see: https://www.anthtechconf.co.uk/speaker/joanna-bryson

Harri Valpola (Curious AI): “Combining machine learning and reasoning tasks”
ML4MS 2019 Workshop, 6-10 May 2019, Aalto University, Finland

This Deep Learning tutorial covers all the essential Deep Learning frameworks that are necessary to build AI models. In this video, you will learn about the development of essential frameworks such as TensorFlow, Keras, PyTorch, Theano, etc. You will also understand the programming languages used to build the frameworks, the different companies that use these frameworks, the characteristics of these Deep Learning frameworks, and type of models that were built using these frameworks. Now, let us get started with understanding the different popular Deep Learning frameworks being used in industries.

Below are the different Deep Learning frameworks we’ll be discussing in this video:
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2. Keras (02:54)
3. PyTorch (05:02)
4. Theano (06:30)
5. Deep Learning 4 Java (07:55)
6. Caffe (09:51)
7. Chainer (11:29)
8. Microsoft CNTK (13:48)

To learn more about Deep Learning, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

To access the slides, click here: https://www.slideshare.net/Simplilearn/deep-learning-frameworks-2019-which-deep-learning-framework-to-use-deep-learning-simplilearn/Simplilearn/deep-learning-frameworks-2019-which-deep-learning-framework-to-use-deep-learning-simplilearn

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Banjo CEO, Damien Patton Speaks on the Ethics of Artificial Intelligence and Protecting Data

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