aditya
Machine Learning for OpenCV 4: Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn, 2nd Edition: Sharma, Aditya, Shrimali, Vishwesh Ravi, Beyeler, Michael: 9781789536300: Amazon.com: Books
Michael Beyeler is an Assistant Professor at the University of California, Santa Barbara, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis ("bionic eye"). His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. Michael is the author of four programming books focusing on computer vision and machine learning. He is also an active contributor to several open-source software projects, and has professional programming experience in Python, C/C, CUDA, MATLAB, and Android. Michael received a Ph.D. in Computer Science from the University of California, Irvine as well as a M.Sc. in Biomedical Engineering and a B.Sc. in Electrical Engineering from ETH Zurich, Switzerland.
How video games could be used to generate AI training data
AI, like humans, learns from examples. Given enough data and time, an AI model can make sense of the statistical relationships well enough to generate predictions. That's how OpenAI's GPT-3 writes text from poetry to computer code, and how apps like Google Lens recognize objects such as lampshades in photos of bedrooms. Historically, the data to train as well as test AI has come mostly from public sources on the web. But these sources are flawed.
For AI to succeed, 'computer says no' needs to die
Senior AI Strategist, Information Builders -- Aditya has extensive knowledge of how AI moves research and industries forward. Aditya is a PhD candidate in the faculty of Engineering at the University of Waterloo, where he is a member of KIMIA Lab… (show all) Aditya has extensive knowledge of how AI moves research and industries forward. Aditya is a PhD candidate in the faculty of Engineering at the University of Waterloo, where he is a member of KIMIA Lab: the laboratory for Knowledge Inference in Medical Image Analysis. Since 2011, his research activities have encompassed content-based retrieval of medical images using machine learning, deep learning, and computer vision approaches. He has developed learning schemes and descriptors for medical imaging and published his works in top-tier journals and conferences.
This Dubai-based startup helps financial institutions improve customer experience by blending AI with banking
Having spent 20 years in the banking tech industry across 50 countries, Aditya Bhagat and Surya Prasad realised that there is a major gap in the customer expectations, and the offerings from financial institutions. They also realised that artificial intelligence (AI) has the potential to bridge this gap but, the implementation of the AI layer in banking requires deep domain and banking technology expertise. Therefore, the duo decided to leverage their experience to build functional AI products to ease AI deployment and enhance the customer experience in the shortest time. Founded in 2017, BankBuddy's platform combines bots, workflow automation, computer vision, big data, and natural language interactions to help financial institutions with customer experience management, hyper-personalisation, and operations automation. Aditya believes that with rapid disruption in the financial services space from fintechs and big tech companies, and expected changes in the business models from open banking, the survival of financial services companies will hinge on the low cost of customer acquisition, excellent proactive service, and continuous cross-sell, upsell, and retention. The company, though based in Dubai, provides service to about 11 countries including India.
'America's Got Talent' Season 12: Sara & Hero Reveal New Skills
The "America's Got Talent" Season 12 contestants have certainly learned a thing or two since joining the hit NBC reality TV competition. A few days before the semifinals, some of the contestants shared one important lesson learned from their fellow contestants on the show. Dog act Sara & Hero has wowed the crowd since the judge cuts round. Despite not receiving rave reviews during their first audition, Sara & Hero have made it to the semifinals with flying colors. In the clip released by network, Sara jokingly says that she and her dog, Hero, learned how to become escape artists from Demian Aditya.
Using analytics to build a better cricket bot
Analytics are key to building a better chatbot. The following is a case study on how the Facebook bot Machaao uses Dashbot Analytics to increase user experience and engagement. By the age of four, every Indian boy has been introduced to cricket. It's a legacy passed on from generation to generation for over four decades. But cricket is not only a passion for Indians; it's one of the most popular sports in the world, with an estimated 2.5 billion fanbase.