AI and machine learning applications

Marrying ethology with swarm robotics to decode collective intelligence in cuttlefish schools

ethology swarm robotics cuttlefish intelligence bio-inspired algorithms collective behavior

Developing sparse mixture-of-experts models for energy-efficient AI inference

mixture-of-experts sparse models AI efficiency neural networks edge computing

Accelerating robot adaptability with embodied active learning in dynamic environments

robotics active learning embodied intelligence adaptive control dynamic environments

Enabling low-power edge AI with energy-efficient attention mechanisms for wearable devices

edge AI energy-efficient attention wearable devices health monitoring low-power computing

Decoding neural population dynamics during decision-making under sleep deprivation

neural ensembles sleep deprivation decision-making prefrontal cortex population coding

Synthesizing Sanskrit linguistics with NLP models for ancient text reconstruction

Sanskrit linguistics NLP ancient texts computational philology grammar modeling

Enhancing robotic tactile intelligence through multimodal fusion architectures for delicate object manipulation

robotic tactile sensing multimodal fusion delicate manipulation sensor integration AI robotics

Through sim-to-real transfer for training autonomous drones in extreme weather conditions

autonomous drones sim-to-real transfer extreme weather reinforcement learning flight control

Mitigating catastrophic forgetting in neural networks through grid-forming inverter technology

catastrophic forgetting grid-forming inverters neural networks power systems AI stability

Using blockchain for supply chains: tamper-proof cold chain verification for mRNA vaccine distribution

pharmaceutical logistics smart contracts IoT monitoring vaccine integrity decentralized verification

Mitigating catastrophic forgetting in neural networks for lifelong robotic learning

catastrophic forgetting lifelong learning robotics neural networks memory consolidation

Multimodal fusion architectures for autonomous robotic swarm decision-making

swarm robotics sensor fusion autonomous systems machine learning multimodal perception