Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

Artificial intelligence is transforming food innovation by accelerating ingredient discovery, optimizing formulations, and enabling personalized nutrition strategies to improve public health outcomes.

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Governmental Procurement of AI is vulnerable to Arrow's information paradox. The standoff between Pentagon and Anthropic ...

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...

The global transition toward sustainable transportation has led to an unprecedented surge in the adoption of Electric Vehicles (EVs) and Plug-in Hybrid ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

Reality shows that they need to produce them much faster than traditional production methods allow. While all of these factors are required by brands to be successful in their respective ...

The lab-scale, near-white heterojunction solar cell uses nanoclay-based scattering layers combined with dielectric multilayer films to preserve power conversion efficiency while enhancing visual ...