A new editorial was published in Oncotarget, Volume 16, on April 4, 2025, titled “Deep learning-based uncertainty ...

In February of this year, the JPEG AI international standard was published, after several years of research aimed at using ...

Secondly, it is also important to design a suitable model architecture ... two GAN models for cross-patient seizure detection under standard training procedure. • Dist-DCRNN (Tang et al., 2022) is a ...

Deep neural networks excel at learning from the data that they were ... and produces the information distribution c′ that resembles c. Figure 2. Conditional GAN architecture. The label c is added as ...

This article appears in the May 2025 print edition with the headline “The New King of Tech.” ...

Milan, a global hub of fashion and finance, increasingly asserts itself as a leading center for architecture and design. Its status as Italy's second-largest city underpins its vibrant cultural ...

After more than a decade of research, nanowires can now be synthesized and assembled with specific compositions, heterojunctions and architectures. This has led to a host of nanowire photonic ...

It consists of a split architecture of two neural networks InterpNet and ShiftNet with a continuous data-flow in between (i.e. the output of the former is cascaded into the input layer of the former ...

One of its most significant developments has been the adoption of RISC, an open-source instruction that provides a viable alternative to proprietary architectures such as ARM and x86. According to ...

Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator ...