Scientists have developed a groundbreaking method to uncover how deep neural networks “think,” finally shedding light on ...

While training for the Paralympics, self-proclaimed data nerd Samantha Bosco wore a sleep tracker, logged her macronutrients and meticulously analyzed her performance data. Already a champion cyclist ...

Bum Chul Kwon shares insights into the connection between health care and AI and how his course aligns with this emerging ...

We evaluate the size of a study, including the number of participants or the amount of data ... science, regardless of disagreements in popular opinion. We are aware of the risks of generative AI ...

They used this speed to process data from 100 million heartbeats or 34.7 million handwritten digital images in just one second. "Our technology could accelerate AI decision-making in time-critical ...

Here are six predictions from IQVIA, addressing what life sciences companies should expect and prepare for in 2023 – from optimising data for artificial intelligence (AI) analysis, to ...

Bailador Technology Investments believes artificial intelligence will play an increasing role in growth equity investing as ...

The CMI aims to build and sustain a vibrant, inclusive, multidisciplinary environment for AI research at Sheffield. The CMI supports and works with two key networks: the Sheffield Data Science and AI ...

Machine Learning and Artificial intelligence ... Scientific data, especially from dynamical systems, is often smaller and structurally different from the data many ML algorithms were developed to ...

The Data Science and Artificial Intelligence (DSAI) Center is a new, collaborative organization at Utah State University that addresses emerging problems in data and AI. The center is hosting an ...