A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study.

Researchers have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions ...

Computers are essential for solving complex problems in fields such as scheduling, logistics, and route planning, but traditional computers struggle with large-scale combinatorial optimization, as ...

Explore how Gemini Deep Think redefines AI problem-solving, tackling complex challenges in mathematics, algorithms, and design optimization.

“Modeling and solving nonlinear optimization problems has always been a fascinating field of research for me,” said Andrea Lodi, an Andrew H. and Ann R. Tisch Professor at the Jacobs Technion-Cornell ...

Quantum traffic optimization tools such as this can be integral to easing the movement of goods. Given the abundance of complex optimization problems in the manufacturing, logistics and supply chain ...

Traditional problem-solving tools have proven less than adequate for preventing recurring failures in today’s complex landscape.

Ising machines are specialized computing systems designed to solve complex optimization problems by arranging “spins” to minimize system energy. However, their fully connected ...

“Modeling and solving nonlinear optimization problems has always been a fascinating field of research for me,” said Andrea Lodi, an Andrew H. and Ann R. Tisch Professor at the Jacobs Technion ...