SCS Associate Professor Alexandros Daglis served as the Tutorials & Workshops Co-Chair of the conference. He also co-authored ...
While public cloud services remain popular, the need to control sensitive data and maximise GPU performance is pushing ...
Microsoft has released Edge 144 with a right-click option to hide Copilot, addressing user backlash while expanding AI ...
Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...
The NuMicro M55M1 AI MCU from Nuvoton Technology, developed in collaboration with the Industrial Technology Research ...
Enterprise computing is rapidly moving to the edge. By 2030, analysts expect more than $100 billion in annual edge spend and a majority of enterprise data to be generated and processed outside ...
As artificial intelligence (AI) transitions from cloud-centric operations to edge devices, the hardware that powers AI is undergoing significant change. While graphics processing units (GPUs) have ...
Cloud vs edge computing represents a fundamental shift in how organizations manage, store, and process data. While traditional cloud computing centralizes massive computing resources in data centers, ...
Azure Local and IoT Operations received a broad set of updates this week as Microsoft moved to expand AI-enabled edge computing across hybrid and highly distributed environments. The enhancements, ...
Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss how some AI workloads are better suited for on-device processing to achieve consistent performance, avoid network ...
Akamai's acquisition of Fermyon could bring more users to Wasm, which is gaining momentum as the WebAssembly System Interface (WASI) specification nears standardization. WebAssembly (commonly also ...
Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...
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