Securing the IoT Edge: A Federated Learning Defense

A new study evaluates how well collaborative machine learning can protect Internet of Things devices from cyberattacks, even when data is unevenly distributed.

A new study evaluates how well collaborative machine learning can protect Internet of Things devices from cyberattacks, even when data is unevenly distributed.

New research reveals a strong link between the internal workings of advanced audio models and the activity of the human auditory cortex.

New research combines time series analysis and machine learning to forecast the rapidly expanding output of solar, wind, and hydroelectric power in China.

New research explores how advanced artificial intelligence can analyze social media conversations in multiple South African languages to identify and understand pressing social issues.
As AI development accelerates, a new focus on the agency of AI workers is crucial to navigate the geopolitical ramifications of this rapidly evolving technology.

A new study leverages the power of deep learning to analyze the complex processes behind particle acceleration at shock fronts, offering fresh insights into astrophysical phenomena.

Researchers have developed a novel framework that combines image analysis with reasoning to more accurately forecast wildfire risk and improve our understanding of contributing factors.

A new analysis reveals how capturing the full distribution of stock returns across international markets improves our understanding of macroeconomic dependencies and the effects of monetary policy.

A new approach to cybersecurity flips the script, proactively identifying vulnerabilities by exploring potential future scenarios rather than reacting to present-day attacks.

Researchers have developed an innovative system to automatically parse and understand complex Environmental, Social, and Governance reports, unlocking valuable insights for financial analysis.