An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...

An artificial intelligence (AI) algorithm may allow clinicians to predict risk of keratoconus progression with more than 90% ...

Another key competitor is Graphite, which secured $52 million in funding in March. Graphite benefits from a close partnership ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

AI can help solve this challenge, but only if you direct it properly. With "smart prompting," AI tools can extract data from ...

We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...

The convergence of data science, machine learning, and healthcare represents one of the most promising frontiers in modern technology. Advanced analytical methods, particularly those leveraging deep ...

Astronomers have long relied on supercomputers to simulate the immense structure of the Universe, but a new tool called ...

Indian-origin technologist Pushpalika Chatterjee developed an AI-based framework to build trust and security in smart city ...