KAWASAKI, Japan--(BUSINESS WIRE)--Toshiba Corporation has developed a breakthrough algorithm that dramatically boosts the performance of the Simulated Bifurcation Machine (SBM), its proprietary ...

New algorithms for trajectory planning and control of fixed-wing 'tailsitter' aircraft are faster and more efficient than traditional quadcopter drones. The algorithms can execute challenging ...

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors. This is an ASCO Meeting ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Toshiba has overcome this challenge by developing a third‑generation simulated bifurcation (SB) algorithm. This ground-breaking advance builds on the original SB algorithm, announced in April 2019 *1, ...

A tailsitter is a fixed-wing aircraft that takes off and lands vertically (it sits on its tail on the landing pad), and then tilts horizontally for forward flight. Faster and more efficient than ...

Figure 1: Results demonstrating that the newly developed third‑generation SB algorithm can find the known best solution with nearly 100% probability at the edge of chaos for a fully connected ...

Data science has created more and better applications for algorithms, particularly those that use machine learning, to help predict outcomes of interest to humans. But has the progress of algorithmic ...