Manulife announced today that it has chosen Adaptive ML to provide model fine-tuning technology as part of its enterprise AI platform. Adaptive ML, a New York-based private AI software company, ...

AI-driven cyberattack agents integrate automation, machine learning, adaptive malware, and botnet infrastructures into ...

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

Gaming has always pushed technology forward. From the first arcade cabinets to contemporary open worlds, the industry has raised the bar for both software and h ...

Testing demonstrates 48% file size reduction with robust ML model accuracy across multiple industry-standard metrics. AV teams are invited to ...

Legacy metrics—uptime, latency, MTTR—no longer capture operational value in an AI-driven world. Mean time to prevention (MTTP ...

To improve students' English language skills, his team is encouraging the use of artificial intelligence (AI) in language ...

Troy Mahr, Director, Rockwell Automation, explains how achieving autonomous operations requires integrating industrial data and AI to ...

In order to use AI effectively and efficiently, students must have certain skills. They must learn to develop critical thinking skills, AI literacy, creativity and ethical awareness in conjunction ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

The display supports a 2.5K resolution of 2456 × 1600 pixels, delivers up to 600 nits of peak brightness, has a pixel density ...