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Design engineers turn to linear motors for applications that demand speed, accuracy and reliability. From high-throughput ...

For the last few years, chain-of-thought prompting has become the central method for reasoning in large language models. By encouraging models to “think aloud,” researchers found that step-by-step ...

Imagine you’ve trained or fine‑tuned a chatbot or an LLM, and it can chat comfortably without any serious hiccups. You feed ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

It's not just what is said but how it's articulated that shapes the meaning of human communication, and people use intonation ...

Abstract: Tendon-driven continuum robots (TDCRs) have the potential to be used in minimally invasive surgery and industrial inspection, where the robot must navigate narrow and confined spaces. We ...

Due to the electrification megatrend, estimating battery model parameters using impedance data is of great interest, since typically battery model parameters are estimated using time domain data, and ...

Generative artificial intelligence enthusiasts are always on the lookout for brand-new AI models released for public testing ahead of their commercial launch, and in the past few weeks, they have ...

Abstract: Semantic communication, an intelligent communication paradigm that aims to transmit useful information in the semantic domain, is facilitated by deep learning techniques. Robust semantic ...

Suropriya Saha and Ramin Golestanian from the department of Living Matter Physics at MPI-DS have now extended the model of non-reciprocal interactions. They investigated what would happen to the ...