Scientists at Bielefeld University have developed the first exact mathematical framework for optimizing multi-asteroid mission routes, addressing a problem complicated by the constant motion of ...

Box Elder County commissioners are poised to cast a key vote that could clear the way for one of the biggest projects in Utah ...

Mistral AI has launched Mistral Medium 3.5, a 128-billion parameter dense model with a 256,000-token context window, ...

Sui blockchain's parallel transactions, zero-knowledge proofs, and quantum-safe cryptography make it a top contender for ...

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What ...

Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

By combining the efficiency of a Mixture-of-Experts architecture with the openness of an Apache 2.0 license, OpenAI is ...

Robotics companies want tremendous amounts of data on how we move our hands and limbs, and their tactics are getting strange.

This viewpoint synthesizes recent comparative studies and simulation findings to argue that there is no universal best modelling approach. Model performance depends heavily on dataset characteristics ...

Abstract: Grounded in Bayesian filtering (BF), random matrix-based extended object tracking (EOT) offers an efficient framework for the joint estimation of a target’s kinematic state and extension.

Abstract: Geospatial object detection is critical for remote sensing applications. Existing methods struggle with imbalanced data, varying object scales, and complex features. We propose TODM ...