Hybrid AI efficiency moves from theory to tooling: quantum boosts, symbolic cuts energy, deepfake detection broadens

Three ScienceDaily items highlight hybrid AI approaches that claim improved performance with lower resource requirements (quantum+AI for chaotic systems; neural+symbolic reasoning with 100× lower energy) and a new deepfake detector (UNITE) that looks beyond faces to backgrounds and motion. Together they signal a push toward efficiency- and governance-friendly AI architectures and stronger synthetic media verification tooling.