Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...
AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...
Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
A biomimetic synapse built from water droplets and biological ion channels achieves synaptic plasticity and performs machine learning tasks.
A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...
Borosilicate glass, the same material used in lab equipment and kitchen cookware, can encode data using femtosecond lasers at densities and lifespans no existing archival medium can match, according ...
The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...
Scientists built a light powered AI prototype that matches chip accuracy while using less energy and producing less heat.
A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.
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