<p>➀ Researchers at RMIT University developed a neuromorphic device using molybdenum disulfide (MoS₂) to track hand movements in real time with ultra-low energy consumption, mimicking the brain's visual processing.</p><p>➁ The device leverages atomic-scale defects in MoS₂ to replicate neuron-like behavior, enabling edge detection and memory storage without traditional computing overhead.</p><p>➂ Potential applications include autonomous vehicles, robotics, and environmental sensors, with plans to scale the technology for infrared detection and multi-pixel arrays.</p>
Related Articles
- Mercedes-Benz unveils solar panel paint job on steer-by-wire vehicle7 days ago
- Softbank, MS reported to be in talks with Wayve to raise $2bn20 days ago
- Trump strikes back at China with a 100% tariff and critical software ban — major escalation retaliates for China's rare earth restrictions23 days ago
- The 28th State28 days ago
- Analog Bits Steps into the Spotlight at TSMC OIPabout 1 month ago
- Nvidia and Wayve talking about a $500m investmentabout 1 month ago
- ROBDEKON Competence Center Stabilized Through Association Foundingabout 2 months ago
- Chip market to hit $800bn this yearabout 2 months ago
- $1.5trn spend on fab 2024-30, forecasts PwCabout 2 months ago
- Driver and In-Cabin Monitoring Redefined: Limitless Recognition, Real Benefitsabout 2 months ago