Formulation complexity, especially in small molecule drugs, has been getting more attention as capabilities continue to ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

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Abstract: Given the ubiquity of power electronic converter (PEC) systems, they often represent the weakest link in terms of reliability within modern power and energy systems in different applications ...

To optimize the final formulation for a drug, it must meet many criteria beyond producing a safe and effective product. For example, it must be stable and amenable to various manufacturing steps, such ...

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...

Abstract: Portfolio optimization that allows the borrowed money from a loan to be invested in risk assets is formulated as a data-driven optimization problem called POL_P. Then, in order to reflect ...

You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...

You make decisions every day. Some are big, and some are small. But even the small decisions involve a great deal of complexity. Let me show you what I mean. Take something you probably do regularly: ...