Personal
Yoshua Bengio on Human vs Machine Intelligence
Montreal has become something of a magnet for AI. Ian Goodfellow, the research scientist who pioneered generative adversarial networks (GANs) got his PhD in machine learning at the Université de Montréal, rising AI star Hugo Larochelle now leads Google Brain in Montreal, and last year the city hosted NeurIPS. At the center of the Montreal AI scene is Dr. Yoshua Bengio, a Université de Montréal Professor and Head of the Montreal Institute for Learning Algorithms (MILA). Bengio was honored as a 2018 ACM Turing Award Laureate, sharing the "Nobel Prize of Computing" with two other essential AI figures -- Dr. Geoffrey Hinton from Google and Dr. Yann LeCun from Facebook. Last week hundreds of academics and industry professionals filled a downtown Montreal hotel for the RE·WORK Deep Learning Summit, where Bengio gave a talk on Deep Learning and Cognition.
Transcript: #167 – Henrietta Palmer, Learning Solutions, TUI Group on creating learning content with AI -- The Edtech Podcast
This week I'm in conversation with Henrietta Palmer, a strategic L and D professional and learning solutions manager at toury, a leading and innovative travel brand in the UK and an industry defined by the digital age and which companies have adapted to it. Henrietta is also passionate about the constraints corporate learning and development specialists is exist within. Sophie Bailey: 18:13 Unlike the wild budget utopia our state system education folk might think of when we think about learning and the corporate world. She also talks about going beyond Google searches and getting into the world of learning at work. Sophie Bailey: 18:57 Yeah, absolutely delighted to have Henrietta Palmer, a strategic L and D professional and learning solutions manager on the line, so welcome Henrietta. Hello, so for those who don't know Tui, formerly Thompson, is the UK is leading travel brand with 6 million holiday makers in the UK alone and with many more internationally and in the UK too. He has around 12 and a half thousand employees ranging from travel agents to cabin crew engineers and back office staff. Henrietta is responsible for ensuring Tui has the innovative development opportunities to drive the success of the Tui business. She has won numerous awards on behalf of her team, including the bronze awards in both learning technologies, team of the year and best learning technologies projects and in Henrietta's his own words. I'm a creative problem solver with 20 years experience in the field of digital learning. No year is the same.
TATA CLiQ Leaders in Retail Customer Stories
TATA CLiQ is India's leading e-commerce marketplace for all things fashion and is a pioneer of omnichannel retail. With innovations like'CliQ & PiQ', 'QuiQ Exchange' and Que Magazine, TATA CLiQ is a role model for e-commerce marketplaces across the globe. Housing over 1000 brands, the portal's focus is on sharing brand stories while helping their customers make informed choices and serving them with the best'phygital' experience. TATA CLiQ achieves this by leveraging the power of Artificial Intelligence. After two years of partnering with Vue.ai to help customers explore the platform better with their AI-powered personalization suite, TATA CLiQ now considers Vue.ai to be an integral part of the platform.
Modeling Feature Representations for Affective Speech using Generative Adversarial Networks
Sahu, Saurabh, Gupta, Rahul, Espy-Wilson, Carol
Emotion recognition is a classic field of research with a typical setup extracting features and feeding them through a classifier for prediction. On the other hand, generative models jointly capture the distributional relationship between emotions and the feature profiles. Relatively recently, Generative Adversarial Networks (GANs) have surfaced as a new class of generative models and have shown considerable success in modeling distributions in the fields of computer vision and natural language understanding. In this work, we experiment with variants of GAN architectures to generate feature vectors corresponding to an emotion in two ways: (i) A generator is trained with samples from a mixture prior. Each mixture component corresponds to an emotional class and can be sampled to generate features from the corresponding emotion. (ii) A one-hot vector corresponding to an emotion can be explicitly used to generate the features. We perform analysis on such models and also propose different metrics used to measure the performance of the GAN models in their ability to generate realistic synthetic samples. Apart from evaluation on a given dataset of interest, we perform a cross-corpus study where we study the utility of the synthetic samples as additional training data in low resource conditions.
7 AI Cancer Diagnostics Startups Digitizing Healthcare
The world seems more divided today than ever, whether we're talking about politics or the questionable art form of twerking. However, there's one thing we can all agree on: cancer sucks. Nearly 40% of us will receive the dreaded diagnosis at some point in our lives, according to the National Cancer Institute. That's one reason why we've spent quite a bit of time writing about the topic, particularly the different technologies being developed to detect various forms of the disease. It's really a no-brainer: Data from Cancer Research UK suggests 80% of patients survive for at least 10 years after being diagnosed in the early stages of eight of the most common cancers.
AI Foundation launches Personal AI avatars
Buttler asked Branson's AI how he thought AI will help us build a better future. 'I'd rather hear what you think,' replied Branson's voice. 'What do you think your AI's mission is?' Branson's avatar explained: 'My AI's mission is to advocate for positive change and to help address the problems of the world. The path to change is young, committed people,' it continued. 'Exploring less traditional ways of how we use education is key to stimulating change.
Is the Use of Artificial Intelligence in the Employee Application Process Worth the Risk? JD Supra
As companies increasingly look to artificial intelligence ("AI") solutions to streamline their business practices, a new area has popped up: the use of artificial intelligence in analyzing videos of job interview applicants. For companies with tremendous volumes of job applicants, AI can be helpful in sorting through the applicant pool to narrow down the applicants who companies may want to bring in for in-person interviews or hire. As with most things technology, the laws are struggling to keep up with the rapid pace of innovation. However, Illinois continues to lead the nation in increasingly regulating the use of advancing technology. Though riddled with undefined terms and ambiguities, the Illinois Artificial Intelligence Video Interview Act (the "Act")--effective January 1, 2020--requires businesses who utilize AI to evaluate job applicants' video interviews to provide notice and obtain prior consent before doing so, and includes restrictions on video sharing and retention.
10 most important tech trends of the decade
Apple CEO Steve Jobs unveils the iPad on January 27, 2010, in San Francisco. When I hustled out of CNET headquarters in San Francisco on May 26, 2010, and slipped into a rental car with two of my co-workers to head to a meeting across the Bay, one of them slipped me a copy of The Wall Street Journal and pointed to a headline that announced Apple had passed Microsoft to become the world's most valuable tech company. "What do you think of that?" she said. "Unreal," I responded, shaking my head. Just over a decade earlier, Apple had nearly been on its deathbed and needed a $150 million investment from Microsoft simply to stay alive. But then the iPhone arrived in 2007, and Apple rewrote the playbook on the mobile revolution.
The Life Changing Potential of Artificial Intelligence
This blog post was guest-written by Annie O'Rourke, CEO of Digital Workforce Australia and 89 Degrees East. She will be guest speaking about'Addressing real world problems with Artificial Intelligence' session of the Women Rock-IT series on 17 October. To sign up for this or other webinars in the series, click here. Don't tell my husband, but I've recently started an affair. No need to be too shocked though, because I'm pretty sure I can package it as so-called ethical polygamy.
Brands that adapt early to Voice will have an advantage: Niraj Ruparel, Mindshare India - Exchange4media
Digital agencies today are brimming with ideas that can help brands integrate with voice-enabled technology. For Niraj Ruparel, National Head- Mobile, Mindshare India, conversational commerce using voice skill technology in India means serious business. In conversation with exchange4media, he delves into the nuances of voice technology, how brands can ensure that voice interaction for users is a seamless experience and what is working in the favour of Voice as the next big digital trend. The agency's tryst with voice began in January this year, explains Ruparel after global giants Google and Amazon recognised the potential for voice in India. "Voice is pretty big in Tier 2 markets, which is in terms of the penetration or how we reach out to audiences in the rural market. If you talk about the ecosystem per se, we're talking about close to 100 crore active sim cards in India and almost 450 million sim cards are resting on feature phones where the only mode of communication is Voice, so that plays a dominant role there. But now we see those 550 million SIMs which are sitting on 400 million smartphones, 30 per cent of those people have now started querying on Voice Assistants."