Favorite In this episode, Stefano Maffulli, executive director of the Open Source Initiative, and David Gray Widder, a Ph.D. student at Carnegie Mellon University, discuss David’s research and findings on ethics in artificial intelligence and, in particular, the challenges software engineers face related to trust and ethics in AI. The
Favorite Most of us are familiar with the SECI model from Nonaka and Takeuchi, but sometimes forget that C stands for Combination, not Collection. Image from wikimedia commons The Nonaka and Takeuchi SECI model for knowledge development is well known in the KM world, with its 4 components of Socialisation,
Favorite Distributed deep learning model training is becoming increasingly important as data sizes are growing in many industries. Many applications in computer vision and natural language processing now require training of deep learning models, which are growing exponentially in complexity and are often trained with hundreds of terabytes of data.
Favorite This is a guest post by Ramzi Alqrainy, Chief Technology Officer, The Chefz. The Chefz is a Saudi-based online food delivery startup, founded in 2016. At the core of The Chefz’s business model is enabling its customers to order food and sweets from top elite restaurants, bakeries, and chocolate
Favorite We’re hiring! The Open Source Initiative is looking for a Community Manager to help grow… The post Now Hiring: Community Manager for ClearlyDefined Project first appeared on Voices of Open Source. Click Here to View Original Source (opensource.org)
Favorite Bias detection in data and model outcomes is a fundamental requirement for building responsible artificial intelligence (AI) and machine learning (ML) models. Unfortunately, detecting bias isn’t an easy task for the vast majority of practitioners due to the large number of ways in which it can be measured and
Favorite Posted Grigor Aslanyan, Software Engineer, Google Patent documents typically use legal and highly technical language, with context-dependent terms that may have meanings quite different from colloquial usage and even between different documents. The process of using traditional patent search methods (e.g., keyword searching) to search through the corpus of
Favorite With personalized content more likely to drive customer engagement, businesses continuously seek to provide tailored content based on their customer’s profile and behavior. Recommendation systems in particular seek to predict the preference an end-user would give to an item. Some common use cases include product recommendations on online retail
Favorite In 2020 during the height of the pandemic, Connor Leahy, co-founder of EleutherAI and CEO… The post When hackers take on AI: Sci-fi – or the future? first appeared on Voices of Open Source. Click Here to View Original Source (opensource.org)
Favorite Data preparation is the process of collecting, cleaning, and transforming raw data to make it suitable for insight extraction through machine learning (ML) and analytics. Data preparation is crucial for ML and analytics pipelines. Your model and insights will only be as reliable as the data you use for