​[[{“value”:” Learning in simulation and applying the learned policy to the real world is a potential approach to enable generalist robots, and solve complex decision-making tasks. However, the challenge to this approach is to address simulation-to-reality (sim-to-real) gaps. Also, a huge amount of data is… Read More »Researchers at Stanford Propose TRANSIC: A Human-in-the-Loop Method to Handle the Sim-to-Real Transfer of Policies for Contact-Rich Manipulation Tasks Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​Just before 6:30pm, the campus experienced a wide-spread power outage. Most of the east side of campus remains without power at the time of this writing. There is currently no estimate for when power will be restored. IRIS services in Soda and Cory will be… Read More »Unplanned East Campus Power Outage Lars Rohrbach IRIS

​[[{“value”:” Reinforcement Learning (RL) has gained substantial traction over recent years, driven by its successes in complex tasks such as game playing, robotics, & autonomous systems. However, deploying RL in real-world applications necessitates addressing safety concerns, which has led to the emergence of Safe Reinforcement… Read More »Safe Reinforcement Learning: Ensuring Safety in RL Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, computer vision has made significant strides by leveraging advanced neural network architectures to tackle complex tasks such as image classification, object detection, and semantic segmentation. Transformative models like Transformers and Convolutional Neural Networks (CNNs) have become fundamental tools, driving substantial improvements… Read More »This AI Paper by the National University of Singapore Introduces MambaOut: Streamlining Visual Models for Improved Accuracy Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs), particularly Generative Pre-trained Transformer (GPT) models, have demonstrated strong performance across various language tasks. However, challenges persist in their decoder architecture, Specifically in time-to-first-token (TTFT) and time-per-output token (TPOT). TTFT, reliant on extensive user context, and TPOT, for rapid subsequent… Read More »Apple Researchers Propose KV-Runahead: An Efficient Parallel LLM Inference Technique to Minimize the Time-to-First-Token Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Introduction Classification algorithms are at the heart of data science, helping us categorize and organize data into pre-defined classes. These algorithms are used in a wide array of applications, from spam detection and medical diagnosis to image recognition and customer profiling. It is for… Read More »5 Essential Classification Algorithms Explained for Beginners Matthew Mayo MachineLearningMastery.com

​Tonight at 10PM we will be rebooting an access switch which provides network service to the basement and first floor of Cory Hall. All wireless networks and some wired networks on the first floor and basement will be unavailable for a brief period. Update: This… Read More »Cory 1F Network Maintenance, 5/22 10PM Derek Calderon IRIS

​[[{“value”:” In the world of online retail, creating high-quality product descriptions for millions of products is a crucial, but time-consuming task. Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the… Read More »Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock Antonia Wiebeler AWS Machine Learning Blog

​[[{“value”:” Hugging Face has recently introduced LeRobot, a machine learning (ML) model created especially for practical robotics use. LeRobot provides an adaptable platform with an extensive library for advanced model training, data visualization, and sharing. This release represents a major advancement in the goal of… Read More »Hugging Face Releases LeRobot: An Open-Source Machine Learning (ML) Model Created for Robotics Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In natural language processing (NLP), researchers constantly strive to enhance language models’ capabilities, which play a crucial role in text generation, translation, and sentiment analysis. These advancements necessitate sophisticated tools and methods for evaluating these models effectively. One such innovative tool is Prometheus-Eval. Prometheus-Eval… Read More »Prometheus-Eval and Prometheus 2: Setting New Standards in LLM Evaluation and Open-Source Innovation with State-of-the-art Evaluator Language Model Asif Razzaq Artificial Intelligence Category – MarkTechPost