Browsing: AI & Robotics
This AI Paper by The Data Provenance Initiative Team Highlights Challenges in Multimodal Dataset Provenance, Licensing, Representation, and Transparency for Responsible Development
By Vidya Saras
The advancement of artificial intelligence hinges on the availability and quality of training data, particularly as multimodal foundation models grow…
Whether you’re a fulfillment center, a manufacturer, or a distributor, speed is king. But getting products out the door quickly…
Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant text through sequential prediction. These LLms excel at…
Ecologists find computer vision models’ blind spots in retrieving wildlife images | MIT News
By Vidya Saras
Try taking a picture of each of North America’s roughly 11,000 tree species, and you’ll have a mere fraction of the…
LightOn and Answer.ai Releases ModernBERT: A New Model Series that is a Pareto Improvement over BERT with both Speed and Accuracy
By Vidya Saras
Since the release of BERT in 2018, encoder-only transformer models have been widely used in natural language processing (NLP) applications…
Frida Polli, a neuroscientist, entrepreneur, investor, and inventor known for her leading-edge contributions at the crossroads of behavioral science and…
Software development presents numerous challenges, from debugging complex code to navigating legacy systems and adapting to rapidly evolving technologies. These…
At an early age, Katie Spivakovsky learned to study the world from different angles. Dinner-table conversations at her family’s home…
Microsoft AI Research Introduces OLA-VLM: A Vision-Centric Approach to Optimizing Multimodal Large Language Models
By Vidya Saras
Multimodal large language models (MLLMs) are advancing rapidly, enabling machines to interpret and reason about textual and visual data simultaneously.…
Five MIT faculty members and two additional alumni were recently named to the 2024 cohort of AI2050 Fellows. The honor…