Discover how DSPy is automating prompt engineering, transforming AI workflows, and helping businesses scale with precision and efficiency.

As the global energy landscape rapidly transforms, the integration of distributed energy resources (DERs)—such as photovoltaic (PV) systems, energy storage ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Renowned IBM inventor and leader behind JPMorgan’s industry-leading quantum applications brings deep expertise in finance, cryptography, and AI to IonQ IonQ (NYSE: IONQ), the leading commercial ...

Abstract: Energy harvesting represents a significant focus of attention for researchers to make optimal use of the energy available around in the environment, whether it is a natural phenomenon or ...

Abstract: Because of rapid development of technology and escalating consumer demand for electronic devices, e-waste (Electronic Waste) has turned out to be a severe environmental concern. An efficient ...

This workshop on Engineering Design Optimization using MATLAB® and Python™ addresses the shape optimization of mechanical components for strength. Python ...

VISTA, Calif.--(BUSINESS WIRE)--Flux Power Holdings, Inc. (NASDAQ: FLUX), a leading developer of advanced lithium-ion energy storage solutions and software-driven electrification for commercial and ...

Meta teased new ad optimization offerings as it touted solid Q1 results on Wednesday. It also hyped its investments in AI agents and its launch of a standalone AI app this week, while hinting at ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...

Aligning large language models (LLMs) with human values remains difficult due to unclear goals, weak training signals, and the complexity of human intent. Direct Alignment Algorithms (DAAs) offer a ...