Regression Discontinuity Design: How It Works and When to Use It
You’re an avid data scientist and experimenter. You know that randomisation is the summit of Mount Evidence Credibility, and you also know that when you can’t randomise, you resort to observational data and Causal Inference techniques. At your disposal are various methods for spinning…
admin
The CLIP framework has become foundational in multimodal representation learning, particularly for tasks such as image-text retrieval. However, it faces several limitations: a strict 77-token cap on text input, a dual-encoder design that separates image and text processing, and a limited compositional understanding that resembles bag-of-words models. These issues hinder its effectiveness in capturing nuanced,…
Sharing DolphinGemma with the research community Recognizing the value of collaboration in scientific discovery, we’re planning to share DolphinGemma as an open model this summer. While trained on Atlantic spotted dolphin sounds, we anticipate its potential utility for researchers studying other cetacean species, like bottlenose or spinner dolphins. Fine-tuning may be required for different species'…
Robots are increasingly being developed for home environments, specifically to enable them to perform daily activities like cooking. These tasks involve a combination of visual interpretation, manipulation, and decision-making across a series of actions. Cooking, in particular, is complex for robots due to the diversity in utensils, varying visual perspectives, and frequent omissions of intermediate…
Introduction
The Artificial Intelligence industry is moving fast. It is impressive and many times overwhelming.
I have been studying, learning, and building my foundations in this area of Data Science because I believe that the future of Data Science is strongly correlated with the development of Generative AI.
It was just the other day when…
Autoregressive (AR) models have made significant advances in language generation and are increasingly explored for image synthesis. However, scaling AR models to high-resolution images remains a persistent challenge. Unlike text, where relatively few tokens are required, high-resolution images necessitate thousands of tokens, leading to quadratic growth in computational cost. As a result, most AR-based multimodal…
Music AI Sandbox was developed by Adam Roberts, Amy Stuart, Ari Troper, Beat Gfeller, Chris Deaner, Chris Reardon, Colin McArdell, DY Kim, Ethan Manilow, Felix Riedel, George Brower, Hema Manickavasagam, Jeff Chang, Jesse Engel, Michael Chang, Moon Park, Pawel Wluka, Reed Enger, Ross Cairns, Sage Stevens, Tom Jenkins, Tom Hume and Yotam Mann. Additional contributions…
Designing intelligent systems that function reliably in dynamic physical environments remains one of the more difficult frontiers in AI. While significant advances have been made in perception and planning within simulated or controlled contexts, the real world is noisy, unpredictable, and resistant to abstraction. Traditional AI systems often rely on high-level representations detached from their…
You might be wondering whether GenAI is just hype or external noise. I also thought this was hype, and I could sit this one out until the dust cleared. Oh, boy, was I wrong. GenAI has real-world applications. It also generates revenue for companies, so we expect companies to invest heavily in research. Every time…
