Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
Medical Xpress

AI deciphers how fast ALS progresses and which functions decline first

ALS (amyotrophic lateral sclerosis) is a fatal neurodegenerative disease that gradually affects a person's ability to move, speak and breathe. It advances differently in every patient. Now, ...

Light-programmed system projects 28-layer 3D images in single shot

Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...

Model Showcase: Reasoning from China, Liquid Models, new Microsoft world

With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.
IEEE

Joint Identification of Encoders and Interleavers Using Deep Learning With Hardware Validation

Abstract: In the fifth-generation (5G) communication era, efficient transmitter operations are essential, with channel encoding and interleaving mitigating random and burst errors to ensure reliable ...
The Manila Times

WiMi Proposes a New High-Performance Fault-Tolerant Quantum Computing Technology Based on Multi-Hypercube Codes

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, proposes a new high-performance fault-tolerant quantum ...
GitHub

Arduino library for a PCF8575 based rotary decoder - supports 5 rotary encoders with a switch.

This library uses a PCF8575 to read the pulses of a rotary encoder. As a PCF8575 has 16 lines up to 5 decoders with a switch can be read over I2C. The PCF interrupt line can be used to detect changes ...
IEEE

Secure Transfer Learning: Training Clean Model Against Backdoor in Pre-Trained Encoder and Downstream Dataset

Abstract: Transfer learning from pre-trained encoders has become essential in modern machine learning, enabling efficient model adaptation across diverse tasks. However, this combination of ...