Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Researchers at the company are trying to understand their A.I. system’s mind—examining its neurons, running it through ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Don't be fooled by a graph. New research shows that a scientist's policy preferences can influence their results. Look past the model and find the ground truth.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Orthopedic surgeons are living in an era of unprecedented technological advancement. Robotic-assisted surgery, AI-driven ...

The marathon, the algorithm and me Twenty-five centuries ago, after the Greeks shattered the Persian army at Marathon, brave Pheidippides ran 26 miles to Athens with the news. Robert Browning’s ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension ...

Peter Grindrod CBE, Professor in Oxford University's Mathematical Institute and Co-Investigator of the Erlangen AI Hub, outlines why mathematics is ...

The APC’s electronic membership registration drive, designed to modernise party records, has evolved into a struggle for ...