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AI Agents to Upgrade Chips in India
- Synaptics and embedUR Systems have committed to the development of energy-efficient and compute-efficient edge devices in India.
- Through its software solutions, the companies could bring the cost of AI-enabled microcontrollers down to a range of $10 to $20.
- The current solutions manufactured by companies such as NVIDIA are priced around $10,000 per chip.
- Indian employees are essential as Synaptics moves to expand its workforce: about 25% of the tech company's staff work from Bengaluru.
- EmbedUR Systems operates in Chennai, mastering the process required for system improvements and low attrition rates.
- The companies hope that their collaboration could help Indian machinists produce energy-efficient and computing-efficient edge devices,
- Cost-efficient, AI-enabled appliances could positively impact Indian society. For instance, LG's ThinQ washing machines, which retail at around $3,000, often entailing high-end consumers, could be reimagined with affordably available products.
- Partnering with embedUR Systems, Synaptics plans on using AI models designed to reduce power and resource requirements.
- According to Synaptics CEO Michael Hurlston, the distinction between cloud-based processing and device-based processing will blur as the tech industry shifts towards efficient, localised edge AI solutions.
- India has the potential to lead in this emerging domain of edge AI by capitalising on local talent and adopting globally competitive solutions.
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