French math superstar Cedric Villani delivers his report on AI to President Macron today. Here’s what he said about the problem of biases in AI algorithms. For more info please visit:

When humans and machines work together, we can solve highly complex product development and innovation. Human computation through crowdsourcing helps to take very complex, multi-constraint problems and turn them into structured objectives with better defined constraints. Machine computation via AI then addresses the scalability issue by searching across large and diverse data sets to increase the probability of finding higher potential analogs. AI can efficiently search across millions of patents, research papers, videos, products, web pages and information on the Internet and data stores.

Innovation is turning to co-innovation between humans and machines.

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Scott Amyx

Innovation Keynote Speaker | Trend Spotter | Experiential, Interactive, Engaging

Energize, inspire & engage your audience. Book Scott Amyx today for valuable insights into the future of work, productivity & society.

About Scott Amyx

Scott Amyx is the Chair & Managing Partner at Amyx Ventures, Forbes New York Business Council Member, Singularity University/ Smart City Accelerator mentor and startup board member and SXSW Pitch (formerly SXSW Accelerator) judge. Scott is a Tribeca Disruptor Foundation Fellow, a disruptive innovation awards program of Tribeca Film Festival. Scott is a national Sloan Fellow/ Woodrow Wilson Fellow. He has spoken at TEDx on exponential technologies, Fourth Industrial Revolution & success. Scott is a global thought leader, futurist, voted top 10 international keynote speaker, & author on smart cities, the Fourth Industrial Revolution and winner of the Cloud & DevOps World Award for Most Innovative and was voted Top Global Exponential Technologies Expert by Inc. Magazine, HP Enterprise, and Postscapes & Top 10 Global Keynote Speakers by Scott has been nominated to the World Economic Forum as a committee member for the Future of the Internet. The Republic of Korea nominated Scott to present at the ITU Telecom World, United Nations. Sovereignties, governments, multinationals, and international consulting & research firms look to Scott for unrivaled insights and pulse on the changing landscape.

Scott has been featured on New York Times, TIME, Forbes, The Washington Post, WIRED, TechCrunch, Inc., Pew Research, Chicago Tribune, InformationWeek, Forrester, & television & radio programs. He has spoken or scheduled to speak at TED, European Commission, World Economic Forum, ITU Telecom World/United Nations, International CES, Internet of Things World, IBM Insight, Amplify, Watson IoT, InterConnect, Cloud Expo Europe, & more. Scott is the co-author of Internet of Things and Data Analytics Handbook, an academic publication by John Wiley and Sons and The Advances in Information Security, Privacy, & Ethics Book Series: Managing Security Issues and the Hidden Dangers of Wearable Technologies, an academic publication by IGI Global.

In 1997, Garry Kasparov became the first knowledge worker to be surpassed by an intelligent machine—at least that is one way to look at the world chess champion’s famous match loss to the IBM supercomputer Deep Blue. Instead of becoming the cognitive John Henry, Kasparov has spent the past 20 years pursuing his fascination with how humans and increasingly powerful AIs can work together. In this talk, he will also discuss the role business must play in moving AI from the laboratory into the mainstream and how the new generation of machine learning can create knowledge that contributes to real insight and understanding, not merely efficiency. Most of all, Kasparov wants us to be optimistic and ambitious about the reality and potential of intelligent machines, what he calls a self-fulfilling prophecy.

Internet Festival 2014, R.I.O.T. HACKATHON “Revolutioning the Internet of Things”.
Intervento di Paul Vershure, ICREA (Catalan Institute of Advanced Studies).

Il mondo del futuro, grazie all’Internet of Things, avrà possibilità sconfinate! Il mondo della mobilità, dell’intrattenimento, della domotica, del gaming, del fitness e qualsiasi altra industria non sarà più lo stesso. Una maratona di sviluppo per coder, hackers, hobbisti, maker, dottorandi, ricercatori di talento disposti a lavorare su uno dei temi più importanti del futuro: rendere vivi gli oggetti della quotidianità. Futuro non remoto per il quale vogliamo farci trovare prontissimi.

We are in the third-generation business, an era that requires to reimagine the business and work.

Paul Daugherty, Chief Technology & Innovation Officer di Accenture – author of the book “Human+Machine – Reimagining Work in the Age of AI” – explains how we are moving towards a new “collaborative intelligence” Era, where human skills like perception, creativity, communication embrace machine skills like prediction, repetition, memorization

The director of the first information office at DARPA was J.C.R. Licklider, who said in 1960: “In not too many years, human brains and computing machines will be coupled together very tightly, and the resulting partnership will think as no human brain has ever thought.”

In the beginning, humans handled all tasks across the data-wisdom spectrum, but with the advent of machines, we recognized how they could help us do things faster, better and cheaper than by ourselves. We started with machines performing low-level data and information processing tasks, freeing humans to concentrate on higher-level endeavors involving knowledge, understanding, and wisdom.

Going forward, equipping machines with more human-like communication and reasoning capabilities will make it possible for humans to teach and correct machines more effectively as they interact and cooperate on tasks, thereby opening the door to stronger symbiotic partnerships between people and machines. In parallel, technologies must be developed to ensure human trust in machines, which includes trust in data, trust in the software, and trust in the devices and systems running the software.

This talk highlights progress by DARPA’s Information Innovation Office in achieving human-machine symbiosis, or Symbiosis Homo et Machina, as envisioned by Licklider.

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