The AI Bros, Bruce Burke and John Lawson III, dive into the latest advancements and trends including AI Video Gen, Anthropic’s growth, and OpenAI’s device ambitions.
Category: robotics/AI – Page 483
MiniMax-M1 is a new open source model with 1 MILLION TOKEN context and new, hyper efficient reinforcement learning
From a data platform perspective, teams responsible for maintaining efficient, scalable infrastructure can benefit from M1’s support for structured function calling and its compatibility with automated pipelines. Its open-source nature allows teams to tailor performance to their stack without vendor lock-in.
Security leads may also find value in evaluating M1’s potential for secure, on-premises deployment of a high-capability model that doesn’t rely on transmitting sensitive data to third-party endpoints.
Taken together, MiniMax-M1 presents a flexible option for organizations looking to experiment with or scale up advanced AI capabilities while managing costs, staying within operational limits, and avoiding proprietary constraints.
A dexterous and compliant aerial continuum manipulator for cluttered and constrained environments
Nature Communications paper.
Paper link: https://www.nature.com/articles/s41467-024-55157-2
PDF link: https://rdcu.be/d7B8C
This paper proposes a highly dexterous and compliant aerial continuum manipulator (Aerial Elephant Trunk). We have proposed the design, designed the shape estimation method, developed a feedback controller, and proposed a whole-body motion planning module such that the UAV and the continuum manipulator could carry out tasks as a whole.
AET can perform various challenging aerial manipulation tasks, including but not limited to:
1) grasping object of various sizes and shapes;
2) traversing constrained pipelines with various shapes;
3) aerial writing/painting;
4) performing manipulation in various complex environments.
#robot #drone #uav #airplane #robotics #artificialintelligence #technology #learning #deeplearning @UAVfutures @fpvdrones @meninododronefpv @Thedroneracingleague @RobotFutureAI
Years of painting restoration work done in just hours by new technique
Although AI-based restoration methods can indeed bring new life to damaged paintings, the end result is typically a digital copy of the original painting. By contrast, a new MIT technique applies reversible repairs to the physical painting itself, in the form of a removable mask.
The process was developed by mechanical engineering graduate student Alex Kachkine, who restores paintings via traditional hand-painting techniques as a hobby.
He realized that many galleries have a number of paintings which never get displayed, because they require restoration that would take too long – and thus be too expensive – to perform by hand. Utilizing his method, however, restoration times could be reduced from years, months or weeks down to a matter of hours.
Lost in the middle: How LLM architecture and training data shape AI’s position bias
Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document or conversation, while neglecting the middle.
This “position bias” means that if a lawyer is using an LLM-powered virtual assistant to retrieve a certain phrase in a 30-page affidavit, the LLM is more likely to find the right text if it is on the initial or final pages.
MIT researchers have discovered the mechanism behind this phenomenon.
How to Build in Space — for Life on Earth
🏗️ Q: What are the potential benefits of off-worlding heavy industry to space?
A: Space-based manufacturing can produce sustainable energy, food, and water for a trillion-dollar space economy, allowing Earth to recover as a garden planet for future generations.
Space-Based Manufacturing.
🧬 Q: How can microgravity in low-Earth orbit advance biotech manufacturing?
A: Enable unique manufacturing of protein crystals, tissues, and novel drugs impossible on Earth, with high-throughput production of exceptional quality organoids for Alzheimer’s and cancer drug testing.
☀️ Q: How can space-based solar power solve Earth’s energy challenges?