Subscribe to this episode via iTunes, Google Play, YouTube, and Spotify, or stream it and connect with hundreds of AI startups and influencers from our chatbot. A full text transcript can also be found at the end of this post. Over the last few years, we've seen the trade and supply of data increase, with more and more of it being generated and leveraged by all industries and organizations. Particularly in this era of innovation, data is essential, and as usage continues to skyrocket, the consideration of how it's being collected and how its being used is more important than ever. Everyone is talking about transforming their organization with artificial intelligence.
At the Current Trends in Biotherapeutics Workshop, Alexandre Le Bouthillier, PhD, Co-Founder, Imagia, presented as part of Session 3: Future Trends in Translational Medicine. His talk was called "Personalized Healthcare with Artificial Intelligence." The Clinical Translation Education Group (CTEG) hosted its 2019 workshop on current trends and innovations in cell and gene therapy with an emphasis on disruptive technologies. The session introduced new tools and strategies that are shaping where the biotherapeutic field is headed. The workshop took place in Toronto on September 29, 2019.
Apple has announced that it will be attending the 33rd Conference and Workshop on Neural Information Processing Systems (NeurIPS) in Vancouver, Canada from Sunday, December 8 through Saturday, December 14. In a new entry to its Machine Learning Journal, Apple said its product teams are "engaged in state of the art research in machine hearing, speech recognition, natural language processing, machine translation, text-to-speech, and artificial intelligence, improving the lives of millions of customers every day." Apple employees will be making a series of presentations at the conference. A schedule is provided in Apple's Machine Learning Journal. Machine learning algorithms play a role in virtually every Apple product and service, ranging from Apple Maps and Apple News to Siri and the QuickType keyboard on iPhone and iPad.
There are a lot of different legal issues businesses need to deal with when considering implementing artificial intelligence (AI) including intellectual property rights, privacy and civil liability concerns. Artificial intelligence is the use of technology to replace human thought, explained Adam Allouba, partner at Dentons. AI runs on data which is used to train algorithms and intellectual property is the idea of the ownership in a database or a compilation of data. "The problem is you can't just go online and start grabbing things and using them because people own copyright on those images," he said. "You've really got to think about'do I have the rights for the data I'm using?'… It's very important to think those things through because if you don't your whole system might be trained on something that is not compliant with law which could open the door to lawsuits."
Gary Marcus thinks that symbol-manipulation is critical for causality. In biology, in a complex creature such as a human, one finds many different brain areas. Expecting a monolithic architecture to replicate that seems to Gary Marcus deeply unrealistic. Yoshua Bengio believes that sequential reasoning can be performed while staying in a deep learning framework which makes use of attention mechanisms and the injection of new modularity and training framework (e.g. Bringing causality, in something like the rich form in which it is expressed in humans, into deep learning, would be a real and lasting contribution to general artificial intelligence.
Prototype of the Force 12 Xplorer being tested near Victoria, British Columbia. It uses a rigid ... [ ] wingsail for propulsion. It's been a great year for Open Ocean Robotics, a British Columbia-based startup that makes solar-powered drones that can gather environmental data in real time and help address a multitude of issues. During 2019, Open Ocean Robotics won a most-promising startup award from the National Community for Angels, Incubators, and Accelerators; $100,000 in a Spring Impact Investor Challenge; and was a finalist in a New Ventures BC Competition, to name a few. So how do you follow that up for 2020?
Uber Eats has been one of the fastest-growing food delivery services since the initial launch in Toronto in December 2015. Currently, it's available in over 600 cities worldwide, serving more than 220,000 restaurant partners and has reached 8 billion gross bookings in 2018. The ability to accurately predict delivery times is paramount to customer satisfaction and retention. Additionally, time predictions are important on the supply side as we calculate the time to dispatch delivery partners. My recent talk covered how Uber Eats has leveraged machine learning to address these challenges. With the mission "Make eating well effortless, every day, for everyone" one of our top priorities is ensuring reliability.
Scientists have added a crucial tool to the atomic-scale manufacturing toolkit with major implications for today's data driven--carbon intensive--world, according to new research from the University of Alberta in Canada. "Computers today are contributing one gigatonne of carbon emissions to the atmosphere, and we can eliminate that by enhancing the most power-hungry parts of conventional computers with our atomic-scale circuitry," said Robert Wolkow, professor in the University of Alberta's Department of Physics a Principal Research Officer at the National Research Council of Canada's Nanotechnology Research Centre, and chief technical officer of Quantum Silicon Inc, a spinoff company taking the technology to market. "This new tool better enables an ultra-efficient kind of hybrid computer for the training of neural networks for artificial intelligence." Hydrogen molecules seek out and automatically repair errors in atomic-scale circuitry and can be used to significantly improve the rewriting speeds of atomic data storage. This work builds on the decades-long dedication by Wolkow's research group to realizing the potential for atomic-scale manufacturing, something that has shifted from an idealistic dream to an ever more likely reality in the next few years.
London (CNN Business)Some of the leading artificial intelligence experts from Africa and South America have been denied visas to attend a major industry conference in Canada, dealing a setback to efforts to prevent bias from taking root in the new technology. Conference organizers say Canadian immigration authorities have denied visas to two dozen academics from countries such as Nigeria and Brazil, preventing them from attending the event next month in Vancouver. Katherine Heller, a professor who serves as co-chair of diversity and inclusion at the Neural Information Processing Systems conference, said organizers "are trying extremely hard" to have the visa denials overturned. "It is very significant for the field of AI that all voices be heard," she said. The problem of algorithmic bias in data science has become more pronounced, and there's mounting evidence that AI-powered algorithms display bias against women and some racial groups.