In this valuable study, the authors provide a simple yet elegant approach to identifying therapeutic targets that synergize to prevent therapeutic resistance in ovarian cancer using cell lines, ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

(Nasdaq: ZENA) (FSE: 49Q) (BMV: ZENA) ("ZenaTech"), a business technology solution provider specializing in AI (Artificial Intelligence) drones, Drone as a Service (DaaS), Enterprise SaaS, and Quantum ...

Silicon photonics promises revolutionary advancements in communication and computing, leveraging the integration of photonic components onto silicon platforms. However, a critical challenge remains in ...

We propose GenDP, a general-purpose acceleration framework for dynamic programming algorithms. We design DPAx, an accelerator with programmable compute units, specialized dataflow, and flexible ...

Explore PicoLM, the open-source framework simplifying language model training and analysis with advanced tools and insights. PicoLM is a new ...

For an energy-efficient adaptive data rate (ADR) algorithm in a long-range wide-area network (LoRaWAN) system, an asymptotic analysis on the spreading factor (SF) by the ADR-MIN algorithm considering ...

In this work, we present a data analysis-based framework that integrates first principles, heuristics, and machine learning when simulating and sizing equipment, aiming at optimizing design drivers ...

Subsequently, we showcase successful case studies of polymeric membranes and emphasize inverse design methodology within a ML-driven structured framework. Finally, we conclude by highlighting the ...