Browsing: AI & Robotics
Meet MegaParse: An Open-Source AI Tool for Parsing Various Types of Documents for LLM Ingestion
In the evolving landscape of artificial intelligence, language models are becoming increasingly integral to a variety of applications, from customer…
Photonic processor could enable ultrafast AI computations with extreme energy efficiency | MIT News
The deep neural network models that power today’s most demanding machine-learning applications have grown so large and complex that they…
This AI Paper Introduces SuperGCN: A Scalable and Efficient Framework for CPU-Powered GCN Training on Large Graphs
Graph Convolutional Networks (GCNs) have become integral in analyzing complex graph-structured data. These networks capture the relationships between nodes and…
It is fairly common in public discourse for someone to announce, “I brought data to this discussion,” thus casting their…
Geometry representations play a crucial role in solving complex 3D vision problems. The rapid evolution of deep learning has sparked…
Visualizing the potential impacts of a hurricane on people’s homes before it hits can help residents prepare and decide whether…
This AI Paper Introduces DyCoke: Dynamic Token Compression for Efficient and High-Performance Video Large Language Models
Video large language models (VLLMs) have emerged as transformative tools for analyzing video content. These models excel in multimodal reasoning,…
Captivated as a child by video games and puzzles, Marzyeh Ghassemi was also fascinated at an early age in health. Luckily,…
GRAF: A Machine Learning Framework that Convert Multiplex Heterogeneous Networks to Homogeneous Networks to Make Them more Suitable for Graph Representation Learning
Real-world networks, such as those in biomedical and multi-omics datasets, often present complex structures characterized by multiple types of nodes…
White House science advisor Arati Prabhakar expressed confidence in U.S. science and technology capacities during a talk on Wednesday about…