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Traditional policy learning uses sampled trajectories from a replay buffer or behavior demonstrations to learn policies or trajectory models that map from state to action. This approach models a narrow behavior distribution. However, there is a...
OpneAI has just launched GPT-4o Mini, its most cost-efficient small AI Model. This model promises to broaden the scope of AI applications with its affordable pricing and powerful capabilities for the price. GPT-4o mini is significantly more...

New AI Research from the University of Maryland Investigates Cramming Challenge for Training a Language Model on a Single GPU in One Day

In many areas of natural language processing, including language interpretation and natural language synthesis, large-scale training of machine learning models utilizing transformer topologies has...

Meet Powderworld: A Lightweight Simulation Environment For Understanding AI Generalization

Despite recent advances in RL research, the ability to generalize to new tasks remains one of the major issues in both reinforcement learning (RL)...

Artificial Intelligence (AI) Researchers from Cornell University Propose a Novel Neural Network Framework to Address the Video Matting Problem

Image and video editing are two of the most popular applications for computer users. With the advent of Machine Learning (ML) and Deep Learning...

Meet FathomNet: An Open-Source Image Database That Uses Artificial Intelligence and Machine Learning Algorithms To Help Process The Backlog Of Visual Data For Understanding...

The ocean is changing at an unprecedented rate, making it challenging to maintain responsible stewardship while visually monitoring vast amounts of marine data. The...

Researchers at Michigan State University Developed ‘DANCE,’ a Python Library to Support Deep Learning Models for Analyzing Single-Cell Gene Expression at Scale

From single-modality profiling (RNA, protein, and open chromatin) to multimodal profiling and spatial transcriptomics, the technology for analyzing single cells has advanced rapidly in...

AI Researchers At Mayo Clinic Introduce A Machine Learning-Based Method For Leveraging Diffusion Models To Construct A Multitask Brain Tumor Inpainting Algorithm

The number of AI and, in particular, machine learning (ML) publications related to medical imaging has increased dramatically in recent years. A current PubMed...

Meet AIHelperBot: An Artificial Intelligence (AI) Based SQL Expert That Builds SQL Queries In Seconds

In the intriguing world of modern digital technology, artificial intelligence (AI) chatbots elevate people's online experiences. Artificial intelligence chatbots have been trained to have...

Salesforce AI Developed A New Editing Algorithm Called EDICT That Performs Text-To-Image Diffusion Generation With AnĀ InvertibleĀ Process Given Any Existing Diffusion Model

With the recent advancements in technology and the field of Artificial Intelligence, there have been a lot of innovations. Be it text generation using...

UCLA Researchers Propose PhyCV: A Physics-Inspired Computer Vision Python Library

Artificial intelligence is making noteworthy strides in the field of computer vision. One key area of development is deep learning, where neural networks are...

Researchers at Stanford developed an Artificial Intelligence (AI) Model called ‘RoentGen,’ based on Stable Diffusion and fine-tuned on a Large Chest X-ray and Radiology...

Latent diffusion models (LDMs), a subclass of denoising diffusion models, have recently acquired prominence because they make generating images with high fidelity, diversity, and...

University of Michigan Researchers Open-Source ‘FedScale’: a Federated Learning (FL) Benchmarking Suite with Realistic Datasets and a Scalable Runtime to Enable Reproducible FL Research...

Federated learning (FL) is a new machine learning (ML) environment in which a logically centralized coordinator orchestrates numerous dispersed clients (e.g., cellphones or laptops)...

Researchers at Stanford have developed an Artificial Intelligence (AI) model,’ StockBot’, which uses LSTMs to predict stock prices with gains higher than the most...

Stock market behavior forecasting is a crucial undertaking that requires careful attention since, with the right choices, a successful prediction of stock prices might...

Bioptimus Unveils H-optimus-0: A New State-of-the-Art Open-Source Foundation AI Model for Pathology

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Bioptimus, a French startup known for its innovative contributions to the medical field, has unveiled its latest groundbreaking project: H-optimus-0. This development marks a...

Mistral AI Launches Codestral Mamba 7B: A Revolutionary Code LLM Achieving 75% on HumanEval...

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In a notable tribute to Cleopatra, Mistral AI has announced the release of Codestral Mamba 7B, a cutting-edge language model (LLM) specialized in code...

NuminaMath 7B TIR Released: Transforming Mathematical Problem-Solving with Advanced Tool-Integrated Reasoning and Python REPL...

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Numina has announced the release of its latest model, NuminaMath 7B TIR. This advanced language model is designed specifically for solving mathematical problems. The...

Tsinghua University Open Sources CodeGeeX4-ALL-9B: A Groundbreaking Multilingual Code Generation Model Outperforming Major Competitors...

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In a significant leap forward for the field of code generation, the Knowledge Engineering Group (KEG) and Data Mining team at Tsinghua University have...

InternLM2.5-7B-Chat: Open Sourcing Large Language Models with Unmatched Reasoning, Long-Context Handling, and Enhanced Tool...

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InternLM has unveiled its latest advancement in open large language models, the InternLM2.5-7B-Chat, available in GGUF format. This model is compatible with llama.cpp, an...

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