AI Most Popular Trends in AI and Machine Learning in Finance in 2023 Looking back at 2022, breakthroughs came in the form of NLP and Computer Vision to Generative AI and Explainable AI. We caught up with AI/ML experts to find out about the most popular trends in Artificial Intelligence and Machine Learning in finance in 2023....
Fighting AI Bias Fighting Bias in AI, With Wendy Gonzalez - CEO at Sama How do we reduce bias in AI? An interview with Wendy Gonzalez, CEO at Sama. Topics covered such as privacy and security in AI, challenges with availability of data and more....
AI-enabled automation Advanced ML Methods For Automating Image Labeling Training computer vision models require a constant feed of large and accurately labeled datasets. However, this typically requires large time and capital commitments, especially since most of the labeling and quality assurance is done manually by humans....
GSI Technology Computer Vision and Image Processing, with GSI Technology A GSI Technology sponsored partnership podcast, with Daphna Idelson. Daphna discusses her latest research and findings, predictions for advancements in CV and image processing, advice for those starting a career in AI and more....
AI videos 5 Influential AI Video Presentations from Q2 2020 We have gathered 5 AI presentations from Q2 that you need to see. With updates from eBay, LinkedIn and more, covering scaling ML, Computer Vision, Ethics and more, these should not be missed....
Interview Is this the solution to a lack of training data in AI? We caught up with AI.Reverie co-founder and CEO ahead of his presentation on 'Solving Hard Problems in Computer Vision With Synthetic Data' at the Applied AI Virtual Summit....
few shot learning Hugo Larochelle - The Past, Present, and Future of Few-Shot Learning Hugo Larochelle discusses few-shot learning, recent advancements in the field and future research developments we can expect....
AI Assistants Taking a Leap Forward with Multimodal AI AI has often taken inspiration from human learning to take big leaps forward. One such important stride is multimodal AI, where the AI agent processes video, images, audio, language, etc. and jointly learns how to do a task....
Image Analysis Supervised Learning for Food Recognition There are apps that allow users to track their diet and uncover nutritional information. Most of these apps involve typing every food you eat, which can be very tedious. LiveSmart have built a model where users upload photos of their meal and the algorithm can identify the food....
Deep Learning Why Are We Content With Making Videos Unwatchable? Here is a scenario: you register for a webinar but cannot attend it. You get a recording of that webinar and it languishes in your inbox because you just can't seem to find...
Deep Learning The Visual Search Revolution If you’ve ever gone through the frustration of trying different ways to describe an item through text-based search and still couldn’t find what you were looking for, then visual search might...
Deep Learning Facebook, Amazon, DeepMind & More - what did you miss at the DL summit? Coffee: check. Pastry: check. Experts from globally leading AI and Deep Learning projects: check.Yesterday morning we kicked off the Deep Learning Summit and AI Assistant Summit with Fabrizio Silvestri from Facebook and...
Humanoid Robots Artificial humans - how far can machines go? With virtual assistants and robots becoming more intelligent every day, it’s easy to forget what sets us apart. Emotions, reason, our ability to make mistakes, love and care.Whilst robots can display...
Deep Learning Why is real world object recognition so challenging? As humans, we are able to understand and perceive the real world instinctively with our senses. When we think about the future of AI, we expect it to be able to recognise objects...
Machine Learning Creating High-capacity Ride-Sharing With Autonomous Transportation Image source: UberRide-sharing services are transforming urban mobility by providing timely and convenient transportation to anybody, anywhere, and anytime. Thanks to the global popularity of apps like Lyft and Uber, there are now...
Deep Learning Deep Learning Glossary: Part 2 Artificial intelligence is changing our world, and deep learning is a crucial part in attaining this. Deep learning is considered a branch of Machine Learning, with the aim of moving machine learning closer...
Machine Learning Fashion DNA: Structural Feature Mapping in the World of Retail Image source: Zalando ResearchWhen applying artificial intelligence to the world of fashion, in which the clothing and other articles involved have many varying individual properties, a meaningful structure must be defined.It seems...
Machine Learning Visual Localization & Mapping for Autonomous Driving Image source: V-Charge Project by ETH Zurich Autonomous Systems LabThe battle against climate change needs new mobility concepts, and advancing autonomous electric vehicles could be key in the global mission to reduce CO2...
Neural Networks Top 5 Key Areas: Deep Learning in Retail & Advertising Recent advances in deep learning have enabled research and industry to master many challenges in computer vision and natural language processing that were out of reach until just a few years ago. Yet...
Neural Networks Creating the Open-Source Autonomous Vehicle As the race to create the first fully autonomous, road-safe vehicle continues, numerous road-blocks and challenges are pushing companies to find new innovative solutions.Successful development of autonomous vehicles requires a wide variety...
Connected Home Internet of Things Day 2017 Special Offer! For this year's IoT Day on 9 April, we have a special offer for Internet of Things and Machine Learning enthusiasts in our community. Use the discount code IOTDAY to save 20% on...
Neural Networks New Approaches to Unsupervised Domain Adaptation The cost of large scale data collection and annotation often makes the application of machine learning algorithms to new tasks or datasets prohibitively expensive. One approach circumventing this cost is training models on...
Deep Learning Interpretability: the Next Deep Learning Challenge Deep learning researchers are increasingly focusing on a big problem in the field: interpretability.While supervised neural nets trained on huge datasets can achieve impressive performances in tasks such as computer vision and...
Big Data Deep Learning for AI: Takeaways from Yoshua Bengio At the Deep Learning Summit, Boston 2016, Yoshua Bengio took us through the evolution of Artificial Intelligence (AI) - how it started with supervised learning, its progression to Machine Learning with speech recognition...
Machine Learning Learning to Rank with Deep Visual Semantic Features Search is an important problem for modern e-commerce platforms such as Etsy. As a result, the task of ranking search results automatically is a multi-billion dollar machine learning problem. At the Machine Intelligence...
