Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well? Contrary to expectations, a ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

In this new work, statistical mechanics is used to understand how different mathematical models "compete" when trying to explain a system. This matters because many scientific fields rely on ...

As someone who spent almost a decade at Google building on-device AI and multimodal sensing systems before founding Archetype ...

The study also demonstrates that genetic architecture plays a critical role in determining model performance. Traits influenced by a smaller number of significant genetic loci are more effectively ...

Is AI leaving the era of "turn-based" chat? Right now, all of us who use AI models regularly for work or in our personal lives know that the basic interaction mode across text, imagery, audio, and ...