The proposed framework is engineered to capture intricate temporal dependencies within modulated signals, leveraging a gated architecture ... model achieves a recognition accuracy of 99.87% at an SNR ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

have developed a machine learning model that permits the prediction of bespoke Cas9 proteins that are more uniquely suited to specific targets and can be tailored with designer properties for ...

For all the Switch 1 Pro Controller's good points (and there are a lot of them), it can take its sweet time getting to a full charge. Fortunately, the Switch 2 Pro Controller seems to be speeding ...

More information: Jason Wu et al, Prediction of Adeno-Associated Virus Fitness with a Protein Language-Based Machine Learning Model, Human Gene Therapy (2025). DOI: 10.1089/hum.2024.227 Journal ...

Two years ago, Pelley and a 60 Minutes team saw a demo for an AI model that ... In another example, a paper plane soared through a Western landscape. New features came into view as the plane ...

In a landmark contribution to petroleum engineering, Nigerian researcher Prosper Nekekpemi has developed a machine learning model that significantly improves the prediction of bubble-point ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

The model, called DolphinGemma, was trained using data from the Wild Dolphin Project (WDP), a nonprofit that studies Atlantic spotted dolphins and their behaviors. Built on Google’s open Gemma ...

For example, Atlantic spotted ... allowing the sounds to be fed into the model as they're recorded. Google says it trained the model using the Wild Dolphin Project's acoustic archive.