AiPulse — Issue No. 39

HydroGym, developed by an international research team, aims to increase efficiency in sectors such as energy, transportation, and defense by training and comparing artificial intelligence models that actively control fluid flows using reinforcement learning.

The newly developed CrysVCD framework significantly reduces the high computational costs and time spent on stability tests by increasing the rate at which generative AI models produce chemically stable materials.

NVIDIA announced its new NVHBM technology, which increases bandwidth by up to 30% by integrating the memory controller into the HBM base die rather than the XPU, and which will be the first collaboration with Amazon Annapurna Labs.

The article examines how Renzo Piano balanced technological innovation with human-centered design and the principle of lightness throughout his career, from the Centre Pompidou to The Shard, thereby emphasizing a thoughtful approach prioritized over visual impact in architecture.

Research published by Microsoft in the journal Nature Health reveals that approximately one-fifth of users consult artificial intelligence about personal health complaints, highlighting the growing role and potential risks of this technology in the medical diagnostic process.

Meta's acceptance to pay $18 billion to settle the lawsuits filed by 29 US states alleging that Facebook and Instagram are addictive for young people aims to raise youth user protection standards by also putting pressure on other giants in the sector.

Anima Anandkumar argues that token scaling is insufficient for modeling physical systems and that structural biases and neural operators must be used, emphasizing that the approach in language models cannot be directly applied to the field of physics.

What is LSTM (Long Short Term Memory)?

LSTM is an architecture that improves sequence predictions by enabling a neural network to remember long-term context and forget unnecessary information.