Google DeepMind used a large language model to solve an unsolvable math problem

Researchers from the Universities of Edinburgh and Sheffield are creating an artificial neural network inspired by ants to assist robots in identifying and recalling paths in intricate natural surroundings.

Researchers from ETH Zurich and Microsoft have developed EgoGen, a synthetic data generator, addressing the challenges in egocentric perception tasks in Augmented Reality. EgoGen creates precise training data using a human motion synthesis model and advanced…

OpenAI has launched the GPT Store, providing access to custom GPTs created by users. The store is accessible to ChatGPT Plus users and those with Team and Enterprise offerings. It offers “Top Picks” curated by OpenAI…

Recent Advances in Robot Policy Representation Understanding Policy Representation In recent years, there have been important developments in how robots learn to make decisions. “Policy representation” refers to the different methods robots use to decide what…

MuLan revolutionizes generative AI for text-to-image synthesis, addressing the challenge of complex prompts. It uses a language model for task decomposition and feedback to ensure fidelity to prompts. It outperforms in object completeness, attribute accuracy, and…

Researchers have developed advanced materials for soft medical microrobots, paving the way for minimally invasive medical procedures like biopsies and cell and tissue transport. These robots hold promise for the future of healthcare.

Amphion, by researchers from The Chinese University of Hong Kong, Shenzhen, Shanghai AI Lab, and Shenzhen Research Institute of Big Data, is a versatile open-source toolkit for audio, music, and speech generation. It emphasizes reproducible research,…

Practical AI Solutions for Sequence Learning, Classification, and Forecasting Enhancing Time Series Analysis with Hybrid AI Model Artificial intelligence (AI) is advancing rapidly, focusing on improving models to process and interpret complex time series data. Time…

This text introduces Survival Analysis and its application in Python. It is available on Towards Data Science.

Practical AI Solutions for Robotics Integrating Language Models into Robotics The use of large language models (LLMs) has renewed interest in hierarchical control architectures in robotics. Recent studies have shown that LLMs can replace symbolic planners,…

Noah Gift switched his Duke University coding class from Python to the more challenging Rust language, leveraging GitHub’s AI tool Copilot to assist students. Copilot, developed from OpenAI’s GPT-3.5 and GPT-4 models, offers real-time coding assistance.…

Machine Learning Interpretability: Understanding Complex Models Machine learning interpretability is crucial for understanding complex models’ decision-making processes. Models are often seen as “black boxes,” making it difficult to discern how specific features influence their predictions. Techniques…

Practical Solutions for Parameter-Efficient Fine-Tuning in Machine Learning Introduction Parameter-efficient fine-tuning methods are essential for adapting large machine learning models to new tasks. These methods aim to make the adaptation process more efficient and accessible, especially…

Enhancing Reasoning in Large Language Models (LLMs) What Are LLMs? Large language models (LLMs) are advanced AI systems that can answer questions and generate content. They are now being trained to tackle complex reasoning tasks, such…

UniTS, a revolutionary time series model developed through collaboration between researchers from Harvard University, MIT Lincoln Laboratory, and the University of Virginia, offers a versatile tool to handle diverse time series tasks, outperforming existing models in…

The Amazon SageMaker JumpStart SDK has been simplified for building, training, and deploying foundation models. The code for prediction is now easier to use. This post demonstrates how to get started with using foundation models using…