Omdia: Global Smartphone Shipments to Fall 7% in 2026 Amid Memory Constraints and Geopolitical Pressures

Global smartphone shipments are forecast to decline by around 7% year-on-year in 2026 according to Omdia’s latest outlook.

Poking a nanostring: Scientists uncover energy cascades in tiny resonators

Scientists at TU Delft have designed a nanostring that, when poked, doesn't lose its energy to the environment immediately.

Mott and Kondo insulators—how external stimuli can modify electronic energy bands

A study from the Research Center for Materials Nanoarchitectonics (MANA) has uncovered a theoretical mechanism showing how the electronic band structures of strongly correlated insulators can be ...
EurekAlert!

Theoretical principles of band structure manipulation in strongly correlated insulators with spin and charge perturbations

A study from the Research Center for Materials Nanoarchitectonics (MANA) has uncovered a theoretical mechanism showing how the electronic band structures of strongly correlated insulators can be ...
IEEE

Energy Efficiency and Sustainability Initiatives in the Semiconductor Industry

Abstract: Semiconductor industry is foundational to the digital age as it drives the production of essential electronic devices. However, it faces the challenge of substantial electricity consumption.
The Business Journals

Denver tech manufacturer's profits soar on AI boom

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min “I think we're better ...
Scientific Research Publishing

G. Gulyamov, N. Yu. Sharibaev and U. I. Erkaboev, “Thermal Broadening Density of States and Temperature Dependence of the Band Gap Ge,” FIP (Fyzicheckaya Injeneriya ...

ABSTRACT: The temperature dependence of the density of energy states in semiconductors is considered. With the help of mathematical modeling of the thermal broadening of the energy levels, the ...
IEEE

Semantic Graph Embedded Energy Minimization Learning for Scene Graph Generation

Abstract: The performance of current scene graph generation models is affected by training with cross-entropy loss, exacerbating the problem of prediction bias stemming from biased training data.