Scientists use remotely sensed data from satellites to map and analyze habitat extent, vegetation health, land use change, and plant species distributions at various scales. Open-source data sets, ...
Recent technologies have made it cost-effective to collect diverse types of genome-wide data. Computational methods are needed to combine these data to create a comprehensive view of a given disease ...
Change is driven by the huge amount of data growth, with organizations now running workflows typically seen in High Performance Computing (HPC). Compute Systems, whether at the core, the cloud, or the ...
As the digital and threat landscapes continue to evolve, cybersecurity and operations teams play a pivotal role. Yet in many organizations these teams are compartmentalized, preventing effective ...
The Lockheed Martin F-35 Lightning II’s calling card is being a mobile sensor package that can the effectiveness of an entire fleet — an entire military front — by sharing data and coordinating ...
With AI changing the way organizations manage and interact with data, dbt Labs has built a new engine for its data development and transformation software to meet today’s performance and scalability ...
Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...
Sensor fusion is becoming increasingly popular and more complex in automotive designs, integrating multiple types of sensors into a single chip or package and intelligently routing data to wherever it ...
Chief Business Officer at Cognyte, head of Cognyte’s product, global R&D, business units, and go-to-market strategy. Our world has become increasingly digital. The pandemic that drove the world ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback