The February 2023 issue of IEEE Spectrum is here!

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What Makes a Good PV Technology?

Comparing maximum efficiency is a good place to start, but it takes more than that for a commercial breakthrough

0 min read
Screenshot of the Interactive: Record-Breaking PV Cells
The Conversation (0)

GPT Protein Models Speak Fluent Biology

Deep-learning language models design artificial proteins for tricky chemical reactions

3 min read
Two protein structures labelled ProGen Generated and 25% Mutation.

By learning the "language" of functional proteins, the AI learned to prioritize its most structurally important segments.

SalesForce

Artificial intelligence has already shaved years off research into protein engineering. Now, for the first time, scientists have synthesized proteins predicted by an AI model in the lab and found them to work just as well as their natural counterparts.

The research used a deep-learning language model for protein engineering called ProGen, which was developed by the company Salesforce AI Research in 2020. ProGen was trained, on 280 million raw protein sequences from publicly available databases of sequenced natural proteins, to generate artificial protein sequences from scratch.

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Forecasting the Ice Loss of Greenland’s Glaciers With Viscoelastic Modeling

Researchers at the Alfred Wegener Institute in Germany are developing new models to simulate how glaciers behave

8 min read
Aerial view of Nioghalvfjerdsbræ showing the extensive patterns of the crevasses

This sponsored article is brought to you by COMSOL.

To someone standing near a glacier, it may seem as stable and permanent as anything on Earth can be. However, Earth’s great ice sheets are always moving and evolving. In recent decades, this ceaseless motion has accelerated. In fact, ice in polar regions is proving to be not just mobile, but alarmingly mortal.

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