AlphaGenome
AI overview
Sign in and the AI will write an overview from our coverage.
Headlines · 2
- Quanta essay asks whether AI can truly model the genome's complexity
In an essay published by Quanta Magazine and reprinted by WIRED AI, the argument is that only about 2 percent of the human genome consists of protein-coding genes, and that understanding the genome now hinges less on what each gene does than on how genes are regulated, a question that may involve much of the rest of the genome. The piece cites genomic foundation models such as Evo 2, Genos and Google DeepMind's AlphaGenome, which are trained on large genomic datasets to predict how DNA sequence differences affect biological processes and ultimately traits including disease risk. The author argues that such computational black boxes may be useful but cannot deliver real understanding of how the genome works, since layers of regulation such as 3D chromatin folding and epigenetic marks suggest the relevant information is not contained in the sequence alone, and the genome may not fit a straightforward input-output modeling assumption.
WIRED AI · 🔥 0 - DeepMind, Google Cloud give 200 European researchers access to science AI models
Google DeepMind and Google Cloud said they will give up to 200 European scientific researchers direct access to their frontier AI models plus $3 million in compute credits, delivered through the EU's RAISE programme. The models include AlphaFold 3 for predicting the structure of proteins and other molecules, the weather-forecasting model WeatherNext, DNA-focused AlphaGenome, the algorithm-designing agent AlphaEvolve and AlphaEarth Foundations, which maps the planet from satellite data. Google did not say how researchers will be selected, when access will begin, or how the credits will be divided among them.
The Next Web · 🔥 0
Experience and discussion from the community
Share my AlphaGenome experienceAsk about AlphaGenome
Nobody has shared their experience with AlphaGenome yet.