Bringing AI to the education environment will require IT leaders within the school environment to pave the way with the right kind of infrastructure....
When deploying a large language model (LLM), machine learning (ML) practitioners typically care about two measurements for model serving performance: latency, defined by the...
A technical paper titled “Ferroelectric Tunnel Junction Memristors for In-Memory Computing Accelerators” was published by researchers at Lund University.
Abstract:
“Neuromorphic computing has seen great interest...
Jan 04, 2024
(Nanowerk Spotlight) Researchers are pursuing memristors – resistive memory devices with properties similar to neurons – as a means to develop energy-efficient...
Introduction
As 2023 draws to a close, the landscape of artificial intelligence continues its relentless march forward. Staying abreast of the latest advancements can feel...
Introduction
In AI, two distinct challenges have surfaced: deploying large models in cloud environments, incurring formidable compute costs that impede scalability and profitability, and accommodating...
Introduction
We talk about AI almost daily due to its growing impact in replacing humans’ manual work. Building AI-enabled software has rapidly grown in a...
A technical paper titled “A Scalable Formal Verification Methodology for Data-Oblivious Hardware” was published by researchers at RPTU Kaiserslautern-Landau and Stanford University.
Abstract:
“The importance of preventing...
Machine programming, also known as low-level programming or assembly language programming, requires the creation of instructions for a computer in machine language. Machine language...
A new technical paper titled “EigenEdge: Real-Time Software Execution at the Edge with RISC-V and Hardware Accelerators” was published by researchers at Columbia University.
“We...
The power consumption of a device is influenced by every stage of the design, development, and implementation process, but identifying opportunities to save power...
A technical paper titled “Accelerating AI Using Next-Generation Hardware: Possibilities and Challenges With Analog In-Memory Computing” was published by researchers at Lund University and...
