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Image created with Microsoft DesignerUnderstanding vision capabilities of Large Multimodal Models The recent advances in Generative AI have enabled the development of Large Multimodal Models (LMMs) that can process and generate different types of data, such as text, images, audio, and video. LMMs share with “standard” Large Language Models (LLMs) the capability of generalization and…
In today’s fast-paced business landscape, Artificial Intelligence (AI) is no longer a mere buzzword but a pivotal tool driving innovation and efficiency.
AI fundamentally represents a branch of computer science dedicated to developing smart machines capable of executing tasks that generally demand human intelligence, encompassing activities such as learning, problem-solving, and making decisions.…
The seamless integration of vision and language has been a focal point of recent advancements in AI. The field has seen significant progress with the advent of LLMs. Yet, developing vision and vision-language foundation models essential for multimodal AGI systems still need to catch up. This gap has led to the creation of a groundbreaking…
To train agents to interact well with humans, we need to be able to measure progress. But human interaction is complex and measuring progress is difficult. In this work we developed a method, called the Standardised Test Suite (STS), for evaluating agents in temporally extended, multi-modal interactions. We examined interactions that consist of human participants…
MSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss Functions Photo by William Warby on UnsplashWelcome back! In the ‘Courage to Learn ML’ series, where we conquer machine learning fears one challenge at a time. Today, we’re diving headfirst into the world of loss functions: the silent superheroes guiding our models…
Artificial intelligence (AI) refers to developing computer systems that can perform tasks that typically require human intellect. These tasks include learning, reasoning, problem-solving, understanding natural language and perception. It’s about creating machines that can think and adapt.
Introducing AI in manufacturing presents challenges and concerns in addition to its significant benefits, causing companies to…
25 Free Courses to Master Data Science, Data Engineering, Machine Learning, MLOps, and Generative AI
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In today's rapidly developing technological landscape, it is crucial to master skills in data science, machine learning, and AI. Whether you're seeking to embark on a new career or enhance your existing expertise, there is a plethora of online resources available, and many of them are free! We have gathered…
Researchers from the Massachusetts Institute of Technology(MIT), Meta, and Codec Avatars Lab have addressed the challenging task of single-view 3D reconstruction from a neural radiance field (NeRF) perspective and introduced a novel approach, PlatoNeRF. The method proposes a solution using time-of-flight data captured by a single-photon avalanche diode, overcoming limitations associated with data priors and…
Research scientist, Kevin McKee, tells how his early love of science fiction and social psychology inspired his career, and how he’s helping advance research in ‘queer fairness’, support human-AI collaboration, and study the effects of AI on the LGBTQ+ community. How did you first get interested in AI? The signs were clear, right from the…