- Mon. Nov 25th, 2024
Latest Post
Kumo.AI announced the general availability of its Kumo.AI platform
Kumo.AI, a Sequoia Capital-backed predictive AI company, announced the general availability of its Kumo.AI platform, enabling rapid creation and deployment of state-of-the-art AI models on private enterprise data. AI practitioners…
AIRS Medical and SR Finalize partnership ahead of RSNA 2023 Meeting
AIRS Medical, the leading AI-powered healthcare solution provider, has finalized an enterprise-wise partnership with Strategic Radiology (SR), a rapidly growing member-owned coalition of 37 privately owned, independent local radiology practices…
This AI Paper from MIT Explores the Scaling of Deep Learning Models for Chemistry Research
Researchers from MIT investigated the scaling behavior of large chemical language models, focusing on both generative pre-trained transformers (GPT) for chemistry (ChemGPT) and graph neural network force fields (GNNs). They…
This AI Research from China Introduces 4K4D: A 4D Point Cloud Representation that Supports Hardware Rasterization and Enables Unprecedented Rendering Speed
Dynamic view synthesis is a computer vision and graphic task attempting to reconstruct dynamic 3D scenes from captured videos and generate immersive virtual playback. This technique’s practicality relies on its…
This AI Paper Introduces Learning from Mistakes (LeMa): Enhancing Mathematical Reasoning in Large Language Models through Error-Driven Learning
Human beings, as inherently fallible creatures, navigate the intricate journey of life marked by successes and failures. In the grand tapestry of our existence, the thread of mistakes weaves a…
Responsible AI at Google Research: Adversarial testing for generative AI safety
Posted by Kathy Meier-Hellstern, Building Responsible AI & Data Systems, Director, Google Research The Responsible AI and Human-Centered Technology (RAI-HCT) team within Google Research is committed to advancing the theory…
University Hospital of Basel Unveils TotalSegmentator: A Deep Learning Segmentation Model that can Automatically Segment Major Anatomical Structures in Body CT Images
The number of CT scans performed and the data processing capacity available have grown over the past several years. Thanks to developments in deep learning approaches, the capability of image…
This AI Paper Introduces Grounding Large Multimodal Model (GLaMM): An End-to-End Trained Large Multimodal Model that Provides Visual Grounding Capabilities with the Flexibility to Process both Image and Region Inputs
Large Multimodal Models (LMMs), propelled by the generative AI wave, have become crucial, bridging the gap between language and visual tasks. LLaVa, miniGPT4, Otter, InstructBLIP, LLaMA-Adapter v2, and mPLUGOWL are…
UCLA Researchers Introduce ‘Rephrase and Respond’ (RaR): A New Artificial Intelligence Method that Enhances LLMs’ Understanding of Human Questions
A team of researchers introduced Rephrase and Respond (RaR), a method designed to improve the performance of LLMs by allowing them to rephrase and expand questions from humans in a…
Cobalt Iron secures Patent on Applying ML to Cyber Inspection
Cobalt Iron Inc. today announced that it has received another new patent, this time for machine learning-driven cyber inspection. Issued on Sept. 19, U.S. Patent 11765187 introduces new capabilities for…