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Synaptics

Synaptics
Engineering exceptional experiences in IoT

Millions of people experience Synaptics technology every day. Whether in your hand, pocket or purse, on your desk, in your home or in your car, their technology is likely inches from you right now. Synaptics’ solutions impact how users interact with technology in numerous ways; what they see, what they hear, how they touch, how they engage, and how they connect.

Synaptics is the partner of choice for the world’s most innovative intelligent system providers and electronics makers. They tapped Wired Island to spread this message to key stakeholders and elevate their work to be recognized as the innovators and thought leaders they are. Wired Island has guided the company as they continue to prioritize their IoT business lines and help engineer the experiences of the future. We work with the experts at Synaptics to share product announcements, produce education and thought leadership content, and social media content.

Key Coverage
15 December 2020
Synaptics is lead investor in Eta Compute’s Series C
Eta Compute, the intelligent sensing specialist, has closed its Series C funding of $12.5 million, bringing the company’s total funds raised to $31.5 million.
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16 November 2020
Edge AI Sensors Plot Analog, Digital Routs
AI vendors are rolling out a steady stream of edge processing platforms spanning everything from multicore systems-on-chips to analog approaches
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07 November 2020
Brilliant ambition: Synaptics CEO Hurlston explains getting to scale
After many years of consolidation, the world of computer chips has come to be dominated by two groups of companies.
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03 November 2020
A Look into the Future of Mobile Phone Displays
Someone once said, “You can never be too rich or too thin.” You can debate whether this is a healthy sentiment for people, but it certainly rings true for smartphones.
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24 September 2020
AI-Based Scaling as the Key to Cost-Efficient 4K UHD Content Delivery
Practical artificial intelligence for edge computing—in the form of compact software and chip-level hardware acceleration for neural-network inferencing—is upending the way operators of many networks think about providing user-facing services.
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