Study: AI models that consider user’s feeling are more likely to make errors

In a new paper published this week in Nature, researchers from Oxford University’s Internet Institute found that specially ...
Tech Xplore

Upgraded wave-energy modeling tools could lead to more robust, seaworthy devices

Wave energy technologies can provide reliable, local power for autonomous underwater vehicles, and at-sea applications across ...
Maine Public

In real-world test, an AI model did better than ER doctors at diagnosing patients

Turns out, the AI model is correct. This type of scenario could become a reality in the-not-too-distant future, according to ...
IEEE

FedGhost: Data-Free Model Poisoning Enhancement in Federated Learning

Abstract: FL is vulnerable to model poisoning attacks due to the invisibility of local data and the decentralized nature of FL training. The adversary attempts to maliciously manipulate local model ...

How start-up Ideally used AI to help Bonds pick Robert Irwin and land $13.4m

When Bonds wanted to sell its ­undies in the US, it turned to a start-up now worth more than $83m – then convinced Robert ...
POWER Magazine

BWXT Initiates NRC Pre-Application Process for HEU Enrichment Facility in Erwin, Tennessee

BWX Technologies (BWXT) has formally notified the U.S. Nuclear Regulatory Commission (NRC) of its intent to seek a uranium enrichment license for a new production facility in Erwin, Tennessee, as a ...
IEEE

DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency

Abstract: Selecting key data subsets for model training is an effective way to improve training efficiency. Existing methods generally utilize a well-trained model to evaluate samples and select ...