Epiq AI expands legal solutions as part of the Epiq Service Cloud
Epiq Service Cloud clients can now use integrated Microsoft AI capabilities to transform their businesses with legal intelligence and data-driven decision-making Epiq, a global technology-enabled leader to the legal industry…
USC Researchers Propose DeLLMa (Decision-making Large Language Model Assistant): A Machine Learning Framework Designed to Enhance Decision-Making Accuracy in Uncertain Environments
In an era where uncertainty shadows many aspects of decision-making, particularly in high-stakes fields like business, finance, and agriculture, the quest for tools to navigate this fog of unpredictability is…
Snowflake announced global partnership with Mistral AI
Mistral AI’s newest and most powerful model, Mistral Large, is available in the Snowflake Data Cloud for customers to securely harness generative AI with their enterprise data Snowflake Ventures partners…
Dataloop AI announced the launch of its Marketplace
The Marketplace is enabling quality AI deployment at scale, empowering teams to build AI applications 20x faster, increase their data and model quality by 10x, and save 70% of their…
This Paper Introduces DiLightNet: A Novel Artificial Intelligence Method for Exerting Fine-Grained Lighting Control during Text-Driven Diffusion-based Image Generation
Researchers from Microsoft Research Asia, Zhejiang University, College of William & Mary, and Tsinghua University recently introduced a novel method, DiLightNet, to address the challenge of fine-grained lighting control in…
DeepMind and UCL’s Comprehensive Analysis of Latent Multi-Hop Reasoning in Large Language Models
In an intriguing exploration spearheaded by researchers at Google DeepMind and University College London, the capabilities of Large Language Models (LLMs) to engage in latent multi-hop reasoning have been put…
CMU Researchers Unveil Groundbreaking AI Method for Camera Pose Estimation: Harnessing Ray Diffusion for Enhanced 3D Reconstruction
The pursuit of high-fidelity 3D representations from sparse images has seen considerable advancements, yet the challenge of accurately determining camera poses remains a significant hurdle. Traditional structure-from-motion methods often falter…
Panda-70M: A Large-Scale Dataset with 70M High-Quality Video-Caption Pairs
The significance of computing and data size is undeniable in large-scale multimodal learning. Still, collecting data from high-quality video text is always challenging due to its temporal structure. Vision-language datasets…
UC Berkeley Research Presents a Machine Learning System that Can Forecast at Near Human Levels
In the evolving landscape of predictive analytics, the art and science of forecasting stand as pivotal tools for decision-making across various sectors, from government policy to corporate strategy. Forecasting has…
Meet DualFocus: An Artificial Intelligence Framework for Integrating Macro and Micro Perspectives within Multi-Modal Large Language Models (MLLMs) to Enhance Vision-Language Task Performance
In recent years, the landscape of natural language processing (NLP) has been dramatically reshaped by the emergence of Large Language Models (LLMs). Spearheaded by pioneers like ChatGPT and GPT-4 from…