Battlefield 6 Season 2's Contaminated map is fine and beautiful, but it's not going to be enough to win players back.
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...
With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...
Abstract: Although Federated Learning (FL) prevents the exposure of original data samples when collaboratively training machine learning models among decentralized clients, it has been revealed that ...
January is a propitious month for setting learning goals—not just because it’s in human nature to want to start the new year with positive resolutions. It’s also the beginning of the last quarter of ...
Last month, Google quietly killed off Google Sky Maps. But there’s still another way to virtually explore most of the solar system a la Google Maps: it’s called Google Maps in Space. Google Maps in ...
Abstract: Accurately imaging the spatial distribution of longitudinal speed of sound (SoS) has a profound impact on image quality and the diagnostic value of ultrasound. Knowledge of SoS distribution ...
ECU tuning is one of the easiest ways to get some more horsepower out of your engine in modern cars. The ECU, or the engine control unit, is essentially the brains of the vehicle, and it controls all ...
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 A new study by Anthropic shows that ...
Introduction: Accurate mapping of the spatial distribution of diverse cell types is essential for understanding the cellular organization of brain. However, the cellular heterogeneity and the ...
Language models (LMs) have great capabilities as in-context learners when pretrained on vast internet text corpora, allowing them to generalize effectively from just a few task examples. However, fine ...
Language models trained on vast internet-scale datasets have become prominent language understanding and generation tools. Their potential extends beyond language tasks to functioning as ...