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A Clinical Perspective on Medical Innovation Image generated by Dall-E 3Being an oncologic surgeon is my primary job and passion. It allows me to interact with people and immerse myself in the healthcare system, not the fancy corporate Healthcare, just everyday medicine. And, as a researcher in AI, I’m noticing a growing disconnect between…
The conventional NeRF and its variations demand considerable computational resources, often surpassing the typical availability in constrained settings. Additionally, client devices’ limited video memory capacity imposes significant constraints on processing and rendering extensive assets concurrently in real-time. The considerable demand for resources poses a crucial challenge in rendering expansive scenes in real-time, requiring rapid loading…
In the last few years, a focus in language modelling has been on improving performance through increasing the number of parameters in transformer-based models. This approach has led to impressive results and state-of-the-art performance across many natural language processing tasks. We also pursued this line of research at DeepMind and recently showcased Gopher, a 280-billion…
Boost the performance of your supervised fine-tuned models 10 min read · 14 hours ago Image by authorPre-trained Large Language Models (LLMs) can only perform next-token prediction, making them unable to answer questions. This is why these base models are then fine-tuned on pairs of instructions and answers to act as helpful…
Integrating multimodal data such as text, images, audio, and video is a burgeoning field in AI, propelling advancements far beyond traditional single-mode models. Traditional AI has thrived in unimodal contexts, yet the complexity of real-world data often intertwines these modes, presenting a substantial challenge. This complexity demands a model capable of processing and seamlessly integrating…
Working toward greater generalisability in artificial intelligence Today, conference season is kicking off with The Tenth International Conference on Learning Representations (ICLR 2022), running virtually from 25-29 April, 2022. Participants from around the world are gathering to share their cutting-edge work in representational learning, from advancing the state of the art in artificial intelligence to…
Learning to code when AI assistants already master the skill Image created by author using Midjourney.The revelation came in the summer of 2023, when I took on a high school student as a summer intern. Their task was to develop a machine learning model to predict air quality in our city, using Jupyter notebooks, basic…
According to a 2020 report on the study on Occupational Fraud and Abuse by the Association of Certified Fraud Examiners (ACFE), the amount of money lost to occupational fraud each year represents a staggering drain on the global economy, and it directly impacts organizations’ abilities to create jobs, produce goods and services, and provide public…
Physics-based character animation, a field at the intersection of computer graphics and physics, aims to create lifelike, responsive character movements. This domain has long been a bedrock of digital animation, seeking to replicate the complexities of real-world motion in a virtual environment. The challenge lies in the technical aspects of animation and in capturing the…