Blockchain Hardware Innovation Machine Learning 
TechCrunch
OCTOBER 25, 2022
Unlike conventional chips, theirs was destined for devices at the edge, particularly those running AI workloads, because Del Maffeo and the rest of the team perceived that most offline, at-the-edge computing hardware was inefficient and expensive. Axelera’s test chip for accelerating AI and machine learning workloads.
CIO
JUNE 13, 2023
The pace of innovation is relentless. Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. The next generation promises to deliver the same unstoppable parade of innovation. Or maybe just ten or five or one?
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO
FEBRUARY 5, 2024
The company aims to provide customers with a banking journey that is not just efficient and secure, but also innovative, engaging, and memorable. Our commitment to being a challenger bank drives us to offer innovative, digital-first solutions like Mashreq Neo and Neo NXT, which provide unmatched convenience and efficiency.
Apiumhub
MARCH 12, 2024
As technology advances, innovations are shaping the future of cloud computing trends. Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis.
Openxcell
DECEMBER 7, 2023
The education sector is undergoing rapid changes due to the internet and digital learning. One of the newest introductions to the field is blockchain technology. Cryptocurrencies like Ethereum and Bitcoin have often been associated with blockchain technology. Why blockchain in education?
CIO
JANUARY 4, 2023
You need engineers and technology team members passionate about innovation and change,” he says. That has the potential to increase dramatically as organizations embrace AI, the internet of things, blockchain, and other resource-intensive emerging technologies. Without any of those three, you will face an uphill battle.”
O'Reilly Media - Data
JANUARY 7, 2020
In fact, in our 2019 surveys, more than half of the respondents said AI (deep learning, specifically) will be part of their future projects and products—and a majority of companies are starting to adopt machine learning. New (and simpler) tools, infrastructures, and hardware are being developed.
Expert insights. Personalized for you.
240 
Let's personalize your content