Deep-learning model decodes the regulatory effects of DNA changes ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Anyone who has conducted document review knows the frustration of keyword search. You craft what seems like a comprehensive list of terms, run ...

NR Narayana Murthy, co-founder of Infosys, reflects on leadership, governance and India’s entrepreneurial future in a wide-ranging conversation with . He argues for compassionate capitalism, founder a ...

Investments in automation and additional tools for data analytics keep coming to packaging lines as plants become more connected. Machine learning and digital twin technology are increasing throughput ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

That trend is evidenced by rapidly growing interest in hiring AI consultants and strategists. That role, along with four ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

At random, I chose glm-4.7-flash, from the Chinese AI startup Z.ai. Weighing in at 30 billion "parameters," or neural weights, GLM-4.7-flash would be a "small" large language model by today's ...

Abstract: Predicting thyroid illness has become a significant problem in recent times. Thyroid illness is getting more frequent in women over thirty, but it is also becoming more prevalent in men, ...