Jonathan EnudemeJonathan Enudeme Imagine finding yourself lost in a foreign land where no one speaks English or your native language. The streets are unfamiliar, and every turn leads you deeper into ...

Applications based on long short-term memory (LSTM), a recurrent neural network (RNN) type, are used in 5G networks to ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Our model incorporates a recurrent neural network (RNN) with long-short-term memory (LSTM) to handle depth interference. The feature network captures essential information about the image content, ...

Artificial intelligence (AI) writing tools have been exploding in popularity. Automated rewriting tools, or text generators, or article spinners, these algorithms claim to generate human-like content ...

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even faster, more efficient performance—especially for generative AI, where ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A new neural-network architecture developed by researchers at Google ...

Sensorineural hearing loss is a natural part of the aging process for many. However, exposure to loud noises can also cause permanent damage to your inner ear or auditory nerve. Sensorineural ...

Red Hat, the IBM-owned open-source software giant, has completed its acquisition of Neural Magic, a pioneering artificial intelligence (AI) optimization startup. Initially announced in November ...

In this study, we propose a DT-supported battery state estimation method, in collaboration with the temporal convolutional network (TCN) and the long short-term memory (LSTM), to address the challenge ...