Analysis of samples returned from the carbonaceous asteroid Bennu suggests that amino acids could form in the cold fringes of ...

Apophenia is the mind’s tendency to find meaning in randomness. It shapes creativity, emotion, and misunderstanding, ...

Engineers at Stanford University have developed a high-efficiency, battery/solar-operated, autonomous microscope with integrated artificial intelligence that automatically diagnoses malaria in blood ...

The recent advent of AI is transforming daily life from streamlining routine tasks to augmenting productivity and facilitating data-driven decisions.

At Araksa Tea Garden in Northern Thailand, guests are invited to learn the precise skill of tea-making in the most stunning of settings.

The garments may be virtual, but the work was very real, says costume designer Deborah Scott, who breaks down the futuristic ...

It is every pet owner’s worst nightmare: their beloved furry friend going missing. In 2025, a dog named Ziggy made a break ...

According to God of Prompt, leading AI research is rapidly evolving with new techniques that enhance large language models' reasoning capabilities. Best-of-N sampling allows models to generate ...

A recent article explained the role of Gas Chromatography-Mass Spectrometry (GC/MS) in the analytics laboratory. The current article focuses on reviewing the technology used for preparing volatile ...

Global interest in microplastics is increasing, with numerous organisations collecting data on microplastics in the environment. However, disparate sampling, analysis, and reporting methods limit our ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A crucial issue in the plastic recycling industry is the loss of quality in recycled ...

Hi, i notice in the code gaussian_diffusion.py, it seems that the code only use the function training_losses_seq2seq . However, the function only apply denoising model at each timestep but does not ...