Computer scientists around the world are working on ways to make artificial intelligence indistinguishable from humans – with varying degrees of success. One way this is being tested is in debates between people and computers. This week IBM’s AI system was on stage at Cambridge University and Jen Copestake was in the audience to see the results.
Robots are dead – long live the Robots – SingularityNET and Hanson Robotics
Sophia the Robot and Philip K. Dick are joined on the Web Summit mainstage by Dr David Hanson from Hanson robotics and Dr Ben Goertzel from SingularityNET, where they discuss the advances in social AI and robotics at the Summit 2019 in Lisbon.
Alphabet’s Schmidt: AI Will Be Used With People, Not to Replace Jobs
Eric Schmidt, technical advisor of Alphabet Inc., talks about the global prospects for artificial intelligence. He speaks at Bloomberg’s New Economy Forum in Beijing.
The Future of Artificial Intelligence And Machine Learning
In this interview, I speak to Ivo Koerner, VP, IBM Systems, about the future of AI and machine learning, what it means for businesses, as well as some top tips of how businesses can get ready for AI and avoid the key traps and mistakes. If you would like more information on this topic, please feel free to visit my website and sign up for content updates! I write articles every week on various different topics such as Big Data, Artificial Intelligence & Machine Learning.
The danger of AI is weirder than you think | Janelle Shane
The danger of artificial intelligence isn’t that it’s going to rebel against us, but that it’s going to do exactly what we ask it to do, says AI researcher Janelle Shane. Sharing the weird, sometimes alarming antics of AI algorithms as they try to solve human problems — like creating new ice cream flavors or recognizing cars on the road — Shane shows why AI doesn’t yet measure up to real brains.
The Future of AI and Blockchain
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 panelists 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.
Vint Cerf Talks The Future Of The Internet – BBC Click
As the Internet marks 50 years, its co-inventor Vint Cerf, tells us of his concerns for the future and challenges ahead for the web.
Machine Learning App Examples
Machine Learning powers almost every internet service we use these days, but it’s rare to find a full pipeline example of machine learning being deployed in a web app. In this episode, I’d like to present 5 full-stack machine learning demos submitted as midterm projects from the students of my current course. The midterm assignment was to create a paid machine learning web app, and after receiving countless incredible submissions, I’ve decided to share my favorite 5 publicly. I was surprised by how many students in the course had never coded before and to see them building a full-stack web app in a few weeks was a very fulfilling experience. Use these examples as a template to help you ideate on potential business ideas to make a positive impact in the world using machine learning. And if you’d like, be sure to reach out and support each of the students I’ve demoed here today in any way can you offer.
Why deploy AI/ML (Artificial Intelligence & Machine Learning) workloads on OpenShift?
While organizations are turning to Artificial Intelligence and Machine Learning (AI/ML) to better serve customers, reduce cost, and gain other competitive advantages, there are significant challenges to executing these programs.
Data Scientists need a self-service experience that allows them to build, scale, and share their machine learning (ML) modeling results across the hybrid cloud.
With Red Hat OpenShift, you’ll enable data scientists to easily enable and deploy their ML modeling without the dependency on IT to provision infrastructure.
Introducing Autonomous Economic Agents: What is an AEA?
Autonomous Economic Agents (AEAs) are adaptive independent programs that have a narrowly defined goal to produce some economic gain for their owner. These agents will be at the forefront of the next industrial revolution, disrupting billion-dollar industries and creating innovative new solutions.
Fetch.ai is a world-changing project, a “decentralized digital world” where autonomous software agents act on the behalf of their owners, or themselves, to get useful economic work done. They consider themselves to be a “dynamic, fast-growing international team of experts and forward-thinking technology enthusiasts working on the convergence of blockchain, AI and multi-agent systems.”
They are building a collective super-intelligence on top of decentralized economic internet built with a highly scalable next-generation distributed ledger technology. Combined with machine learning, this delivers the predictions and infrastructure to power the future economy.