Across continents, half of odonate species shifted both ranges and phenologies in response to climate warming, with southern species and those experiencing less temperature variability shifting ranges ...
Like disadvantageous inequity aversion, advantageous inequity aversion can be learned by observing another’s fairness preferences.
The model that recently went viral is improved with Gemini 3 Pro. The model that recently went viral is improved with Gemini 3 Pro. is a deputy editor and Verge co-founder with a passion for ...
A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...
The all-new Norton Manx R is the standard-bearer of Norton’s Resurgence, the embodiment of the brand’s unwavering commitment to creating some of the world’s most desirable motorcycles through ...
Norton has unveiled the Manx and the Manx R, the first in a series of models designed to re-establish the British marque in the premium superbike segment after some very rough recent times. Leading ...
Vinay K. Chaudhri is principal scientist at Knowledge Systems Research in Sunnyvale, California. Whenever assessments measure the intended skill inaccurately, it is considered a proxy failure. For ...
Tesla is recalling approximately 13,000 recent Model 3 and Model Y vehicles built earlier this year due to a battery pack defect that can result in power loss. In August, Tesla started getting reports ...
Abstract: Accurate degradation modeling is a prerequisite for reliable prognostics. When historical data are scarce and operating conditions vary over time, conventional approaches struggle to balance ...
Abstract: To enhance the adversarial robustness of YOLO-based object detectors, a localized MI-PGD approach is proposed for generating adversarial examples. The proposed method enhances the ...
We show that reinforcement learning with verifiable reward using one training example (1-shot RLVR) is effective in incentivizing the mathematical reasoning capabilities of large language models (LLMs ...
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