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

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

In the evolving world of data architecture and analytics, Gopala Krishna Subraya Pai stands out as a thought leader whose ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

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

Artificial intelligence is transforming defense - AI expands the attack surface in unprecedented ways. Models can be manipulated through poisoned training data or adversarial inputs ...

What users are exposed to is rivalry around pricing and marketing, but some of the most intense competition is over data and ...

A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

AI is rapidly entering clinical care, but malpractice law has not kept pace. As adoption accelerates, clinicians are being ...