"Range anxiety" remains one of the major issues of electric vehicles (EVs). Most of the existing range prediction ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

Artificial intelligence is revolutionizing drug discovery and antibody engineering, accelerating the creation of new ...

Artificial intelligence has become both the weapon and the shield in today’s cyber battlefield. From self-learning malware to adaptive firewalls, AI is reshaping the balance of power between attackers ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

A new statistical analysis of Nigeria’s 2023 elections says Labour Party (LP) strongholds recorded the highest concentration of irregularities in the polls.

Researchers identified distinct demographic, clinical, and serologic predictors of incident LVSD and cardiac recovery among patients with SSc.

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

DEUS EX MACHINA. We recap and explain Devs on FX in our Machine breakdown. #DEVS #FX #AlexGarland Read the full DEVS ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...