Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common ...

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...

Abstract: Attention-based recurrent neural encoder-decoder models present an elegant solution to the automatic speech recognition problem. This approach folds the acoustic model, pronunciation model, ...

Thanks for this impressive work, mmBERT paves the way for scaling multilingual encoder-only models! The paper mentions a comparison to Google Gemini2.5 and OpenAI o3. There any comparative benchmarks ...

Visionary has introduced three new wallplate models, including USB-C Bluetooth and Dante integration, debuting at InfoComm 2025. The DuetE5-WP-C wallplate encoder combines USB-C and HDMI inputs into a ...

An improvement to an existing AI-based brain decoder can translate a person's thoughts into text without hours of training. When you purchase through links on our site, we may earn an affiliate ...

Modern image and video generation methods rely heavily on tokenization to encode high-dimensional data into compact latent representations. While advancements in scaling generator models have been ...

This library uses a PCF8575 to read the pulses of a rotary encoder. As a PCF8575 has 16 lines up to 8 decoders can be read over I2C. The PCF interrupt line can be used to detect changes in the ...