This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...

Building for this future requires a shift in thinking from AI as an isolated pilot to a part of an established business ...

B, an open-weight multimodal vision AI model designed to deliver strong math, science, document and UI reasoning with far less training data and compute than much larger systems.

Large protein machines in the body carry out many of the cell's most essential tasks, from energy production to the ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

Enterprise-wide integration is being leveraged to extend today’s process automations into tomorrow’s agentic workflows.

Event-driven architectures offer a strategic path to real-time execution, resilience and operational transparency across ...

The Doctoral Researcher will be a part of the new Structural and Architectural Engineering Research Group in the Department of Civil Engineering, and collaborate with practicing architects and ...

Modern batch processing relies on flexible ISA-88–based software that streamlines recipe creation, coordinates tasks across multiple units and enables efficient execution of multistage production ...

A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D ...

Johns Hopkins APL and GKN Aerospace are partnering to develop a system that simulates shipboard motion for metal 3D printing at sea — advancing the Navy’s ability to produce critical parts on demand.