Elizabeth Wallace

The composable enterprise will respond with greater sensitivity to society’s needs and pressures and allow businesses to weather disruption more easily.

Medical data is notoriously difficult to access. Before we see the true potential of predictive AI cooperation and legislation will be needed.

If artificial intelligence machines can take us through their experiences, they can begin to teach us new ways to solve problems.

Blockchain doesn’t just improve existing industry applications, it overturns our very understanding of how those industries can operate.

Graph analytics is finding innovative applications in financial services, healthcare, pharmaceutical, telecom, and other industries.

The social impact of AI, both negative and positive, will likely play an essential role in how the U.S. government approaches the new tech for the next four years.

The goal of the optimization algorithm is to make it easier for businesses to understand the potential of their robotics investments.

An experimental traffic signal controller system uses self-learning algorithms and can adjust traffic flows based on changing conditions.

NLP helps researchers understand the virus because the immune system’s interpretation of protein signatures is akin to the brain’s interpretation of sentences.

Graphs algorithms, which are ideal to analyze sparse and irregular datasets, can benefit from special hardware that optimizes their performance.

Removing the human element from the data collection process for machine learning model training can introduce security vulnerabilities.

The most significant cybersecurity focus for 2021 for 5G and edge will be blending human expertise with newer solutions such as AI-driven security.