Wei Lu wins 2024 Best Paper Award for research on spiking neural networks – Michigan ECE
Wei Lu wins 2024 Best Paper Award for research on spiking neural networksMichigan ECE
AI paper from China introduces MiniCPM: Introducing innovative small language models with a scalable training approach
https://arxiv.org/abs/2404.06395 The development of large-scale language models (LLMs) with trillions of parameters is costly and resource-intensive, leading to interest in considering small-scale language models (SLMs) as a more efficient option.…
In this AI paper, we introduce LCM-LoRA: Revolutionizing text-to-image generation tasks with advanced latent consistency models and LoRA distillation.
https://arxiv.org/abs/2311.05556v1 Latent diffusion models are generative models used in machine learning, especially probabilistic modeling. These models aim to capture the underlying structure and latent variables of a dataset, and often…
This AI paper introduces Neural MMO 2.0: Revolutionizing reinforcement learning with flexible task systems and procedural generation.
Researchers from MIT, CarperAI, and Parametrix.AI introduce Neural MMO 2.0, a large-scale multi-agent environment for reinforcement learning research, creating a versatile task system that allows users to define diverse objectives…
This AI paper reveals a new approach to understanding deep learning models: Using Concept Relevance Propagation (CRP) to figure out the ‘where’ and ‘what’
https://www.nature.com/articles/s42256-023-00711-8 The field of machine learning and artificial intelligence has become very important. We are making new advances every day. This area affects all spheres. Utilizing carefully developed neural network…