Amazon Ai Edge Device Computer Vision

Amazon Plans Smartphone Comeback More Than a Decade

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Exclusive-Amazon Plans Smartphone Comeback More Than a Decade After Fire Phone Flop

In 2014, Amazon introduced its first smartphone, hoping to take on Apple and Samsung.

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Amazon developing AI smartphone years after Fire Phone failure

· 8h · on MSN

Why Amazon’s second shot at a smartphone might not be as crazy as it sounds

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Amazon plans new smartphone more than a decade after Fire Phone flop

The latest effort, known internally as “Transformer,” is being developed within Amazon's devices and services unit, according to four people familiar with the matter.

PC Magazine · 1d

Remember Amazon's Fire Phone? An Alexa Phone May Be Next

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For Amazon's Fire Phone to succeed, it'll need to fix its app store problem first

CNET · 1d

Amazon Reportedly Planning Alexa-Focused Phone for Shopping and AI

Amazon is reportedly developing a new mobile device that would sync with its existing ecosystem of software and hardware, including Alexa-based smart hubs and its Prime Video TV service.

EconoTimes · 23h

Amazon's "Transformer" Phone: Can It Succeed Where Fire Phone Failed?

FOX 7 Austin KTBC · 1d

Amazon working on new phone years after Fire flop, new report says

GeekWire

With new Alexa website, Amazon’s consumer AI vision finally comes together — and it’s actually useful

Amazon’s new Alexa.com portal brings the AI-powered Alexa+ assistant to the desktop browser. Amazon is quietly rolling out the last big pillar of its AI-powered Alexa+ vision: the Alexa.com website, bridging the gap between its Echo devices, mobile app ...

Just Auto on MSN

Amazon, Nvidia partner on in-car AI assistants

The collaboration brings together Amazon’s Alexa Custom Assistant (ACA) and Nvidia’s DRIVE AGX automotive computing platform.

EDN

Top 10 edge AI chips

As edge devices become increasingly AI-enabled, more and more chips are emerging to fill every application niche. At the extremes, applications such as speech recognition can be done in always-on power envelopes, while tens of watts will be enough for even ...

Embedded AI Market Accelerates with Advancements in Semiconductor Design and Edge-Based AI Deployment, Valued at USD 42.3 billion by 2033

Significant focus on ultra-low latency in autonomous systems is forcing a massive migration of neural networks directly onto microcontrollers at the edge. Embedded AI market accelerates as real-time edge inference enables faster decision-making in autonomous machines and intelligent connected devices.