Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling multimodal LLMs.

Overview: Smart edge AI sensors process data locally, reducing latency, power consumption, and cloud dependence.On-device inference improves privacy by keeping ...

New developments that will leverage a focus on cloud-native technologies, including serverless and containers, will change the level of I/O requirements. Internet egress (i.e., the on-ramps and ...

Moreover, Neuronova uses a fully analog pipeline that only sends information to the microcontroller unit (MCU) when necessary ...

Lenovo’s 2026 investments are in AI PCs innovation, devices, AI inferencing, edge computing, tablets, and wearable devices, ...

Advanced Micro Devices (NASDAQ: AMD) shares have risen sharply in the last six months, but it's way too early to take profits ...

Edgecore Networks, a wholly owned subsidiary of Accton Technology and a leader in innovative network solutions for enterprises, data centers, and telecommunication service providers, today announced a ...

As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world’s decision-making is occurring autonomously on the edge—on the small devices that gather ...

Artificial intelligence is steadily finding its way into everyday life, moving from the cloud onto the devices people use ...

Generative AI has leaped from demos to core feature such as AI performance, optimized software stacks, and a shift toward ...

Small and mid-sized businesses are adopting AI at a pace that would have seemed unrealistic even a few years ago. Smart assistants that greet customers, predictive tools that flag inventory shortages ...

The world is witnessing an artificial intelligence (AI) tsunami. While the initial waves of this technological shift focused heavily on the cloud, a powerful new surge is now building at the edge.