However, funding and infrastructure challenges must be addressed to fully realise this potential. In fact, the continent’s digital transformation is now in a period of accelerated growth and is set to ...

The power that makes electric vehicles travel farther and smartphones last longer comes from battery materials. Among them, ...

The radiation environment near Earth remains a challenging topic of study due to its complex dynamics, spanning multiple energy and temporal scales. During ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...

One of the great advantages individual investors have is time. We do not need to trade every headline or predict next quarter's GDP print. We can sit quietly, read what others ignore, and position ...

XRP sentiment hits extreme fear at 24 while institutional ETFs accumulated $424M in December alone, and $1.3 billion in 50 days. Machine learning models achieve 70-91% accuracy predicting crypto moves ...

A new catalyst design could transform how acetaldehyde is made from renewable bioethanol. Researchers found that a carefully balanced mix of gold, manganese, and copper creates a powerful synergy that ...

Scientists are digging into the hidden makeup of carbon-rich asteroids to see whether they could one day fuel space exploration—or even be mined for valuable resources. By analyzing rare meteorites ...

Amazon said the new funds will target AI-driven digitization, export growth and job creation, aligning with India's national priorities to build up its local AI environment. "Looking ahead, we're ...

Introduction: Biomass pretreatment outcomes are heterogeneous across routes and severities, and condition-centered empirical models often fail to generalize beyond the settings on which they were ...