From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Give a large language model broad access to data and it becomes the perfect insider threat, operating at machine speed and ...

Psychological testing has evolved from Freud to AI and eye tracking. Technology adds depth, but theory and ethics must guide its use to ensure meaningful and equitable diagnoses.

Since the 1940s, the meaning of the term 'artificial intelligence' has evolved significantly, as its applications have ...

Many AI productivity tools rely on the technology behind ChatGPT, Meta AI, Google Gemini and Claude to generate content. In some cases, it may be cheaper to subscribe directly to these platforms and ...

In Part 1, we explored the challenges of implementing machine learning and real-time analytics in semiconductor ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

The authors proposed two hypotheses: first, that methamphetamine induces neuroinflammation, and second, that it alters neuronal stem cell differentiation. These are valuable hypotheses, and the ...

CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...