Elizabeth Wallace

Smart manufacturing helps automakers achieve greater efficiency and accelerate innovation by blending digital technologies with the physical realm, making it possible to accomplish things we’ve never seen before.

Smart data capture removes barriers to data collection and empowers frontline employees with the tools they need for consistency.

Squishy Robotics has collaborated with major fire departments and aims to develop mobile models of its robots in addition to its current stationary ones.

Composite AI software provides a platform for integrating and orchestrating different AI models and algorithms to solve business problems.

Traditional techniques for medical data interpretation are often time-consuming and expensive. Deep learning offers a promising solution in drug discovery and diagnosis.

Few-shot Domain Adaptation offers a potential fix for the challenge of acquiring and annotating large datasets for training AI models accurately.

Combining the ability of fMRI to monitor neural activity with the predictive power of AI language models has resulted in a thought decoder.

Amazon will offer options to companies that want to use a foundational LLM model in AWS and then customize it for their own proprietary data, company needs, and customer experience.

The integration of fuzzy logic and AI presents significant opportunities for organizations like smart automotive manufacturers to enhance their supply chain management practices.

Businesses must compile a comprehensive inventory of APIs and have visibility into the traffic within each API to protect data and business processes from abuse and theft.

The global electronic clinical assessment outcome (eCOA) solution market will see increasing use of connected devices and the Internet of Things (IoT) over the next 4 years.

When using open source software, visibility in the application lifecycle helps decision-makers gather the information they need to make critical decisions and resolve risk.