If you were asked to put 1 million tonnes of CO₂ into the ground every year for the next few decades, how confident would you be that you understand what will happen to it? If you had to insure that ...
An expert warned that the U.S. immigration crisis in America will continue so long as the country’s elite reject the idea of the "Americanization" of immigrants. Mark Krikorian, who is the executive ...
Artificial intelligence is fundamentally changing how national oil companies (NOCs) utilize their extensive historical and operational data, moving beyond speculative promises to practical ...
After Bentley Systems acquired subsurface modeling firm Seequent in 2021 for $1.05 billion, then-CEO Greg Bentley noted in 2023 that the potential for bringing subsurface data into digital twins and ...
Digital twins in reservoir modeling are dynamic, data-driven replicas of subsurface systems that continuously align physics-based models with real-time field data. They sit at the nexus of subsurface ...
You can choose to opt out. You can choose to opt out. is The Verge’s senior AI reporter. An AI beat reporter for more than five years, her work has also appeared in CNBC, MIT Technology Review, Wired ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The No. 1 way AI is changing 150-year-old ...
Even though it might seem like Tesla has a lot going on—robotaxis, literal humanoid robots, and that ever-elusive affordable model that just keeps getting pushed back—its aging core lineup has only ...
As CEOs trip over themselves to invest in artificial intelligence, there’s a massive and growing elephant in the room: that any models trained on web data from after the advent of ChatGPT in 2022 are ...
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
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