Design efficiency overcomes scale in reducing AI hallucinations
A recent study has shown that efficiency in the design of artificial intelligence models can be more decisive than their size in reducing "hallucinations," i.e.… more →
Researchers have developed a novel method for sign placement in quantum circuits, a crucial technique for optimizing the efficiency and accuracy of quantum algorithms. This advancement is based on quantum annealing (QA) sampling, allowing for more effective prediction and adjustment of the phase of quantum operations than traditional approaches.…
A recent study has shown that efficiency in the design of artificial intelligence models can be more decisive than their size in reducing "hallucinations," i.e.… more →
A new study has explored the application of artificial neural networks (ANNs) to model and predict the thermophysical properties of Fe₃O₄/water ferrofluids.… more →
Researchers have developed an analytical solution for the modified Kronig-Penney model featuring harmonic oscillator wells.… more →
Researchers have developed a machine learning-based technique to mitigate beam divergence in wireless communication systems utilizing the orbital angular momentum (OAM) of light.… more →
Researchers have developed an analog in-memory compression and non-volatile storage paradigm named "Sense-Now Reconstruct-Later" (SNRL).… more →