iTechify

The Only AI Glossary You’ll Need This Year (2024 Edition)

Cut through AI jargon with this practical AI glossary. Learn essential AI terms like LLMs, hallucination, tokens, and more in plain English. Understand AI confidently.

AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
collider

New Transformers Movie Officially Confirmed

A cinematic obsessive with the filmic palate of a starving raccoon, Rob London will watch pretty much anything once. With a mind like a steel trap, he's an endless fount of movie and TV trivia, borne ...
Gizmodo

Two Years Later, We’re Finally Learning How a Transformers-Inspired Rover Fared on the Moon

On January 19, 2024, a tiny, spherical rover called SORA-Q arrived on the Moon and unfurled itself into two halves to deploy wheels on each side. The miniature-sized robot, which could fit snugly into ...
collider

‘Transformers’ and ‘Jem and the Holograms’ Officially Cross Over in New Hasbro Release [Exclusive]

Fans of the Transformers franchise know how important toys for the series are. Who doesn't want an Optimus Prime figure to remind them to be a good person? For this year's San Diego Comic-Con, fans ...
Game Rant

5 Biggest Transformers Deaths, Ranked

Marc Deschamps has been writing about video games and popular culture for more than a decade, at various outlets. Prior to joining GameRant, Marc served as a freelancer, staff writer, and editor at ...
IEEE

Detection Transformer-based Deep Learning for Multisource Partial Discharge Recognition in High-Voltage Rotating Machine Insulation

Abstract: Partial discharge (PD) is a critical early indicator of insulation degradation in high-voltage rotating machines. Minor undetected defects during manufacturing, combined with operational ...
IEEE

A Hybrid Deep Learning Framework Combining Convolutional, Transformer, and GRU Models with Mixture of Experts for RNA Sequence Analysis

Abstract: This work proposes a novel hybrid deep learning model that incorporates CNNs, Transformer models, and GRU layers, further extended with an MoE model, for advanced sequence analysis. The ...