CTOvision
FEBRUARY 21, 2017
For years there has been a growing concern that many forms of machine learning are actually easier to deceive than they should be (and there is good reason to be concerned, for background on why see the paper recommended to me by my friend Lewis Shepherd: " Deep Neural Networks are Easily Fooled ").
TM Forum
AUGUST 18, 2022
At present, network operation still faces many challenges: the network is becoming more and more complex, the number of network nodes is growing rapidly, and the business process is significantly longer. Many relatively independent operating systems stand like chimneys, and the data is scattered and fragmented.
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Dataconomy
JUNE 15, 2023
The timeline of artificial intelligence takes us on a captivating journey through the evolution of this extraordinary field. It all began in the mid-20th century, when visionary pioneers delved into the concept of creating machines that could simulate human intelligence.
Cloud Musings
DECEMBER 20, 2016
Photo credit: Shutterstock Over the past few years, the use of artificial intelligence has expanded more rapidly than many of us could have imagined. Impressive innovations in big data algorithms have also added fuel to the explosive growth of AI. The mostimportant of these algorithm categories include: Crunchers.
Computerworld Vertical IT
JANUARY 30, 2024
Generative artificial intelligence (genAI) like ChatGPT has to date mostly made its home in the massive data centers of service providers and enterprises. There can also be issues with network connectivity. And, the genAI industry faces a scarcity of specialized processors needed to train and run LLMs. (It
TM Forum
OCTOBER 18, 2022
Fujian MCC used artificial intelligence to identify potential dissatisfied users and quickly find and fix the root cause. The operator partnered with Nokia and used TM Forum’s Business Process Framework and Autonomous Networks Framework to guide the design and implementation of the strategy. Autonomous networks.
Tech Republic Big Data
MAY 23, 2023
On-premises artificial intelligence and specifically trained generative AI are now enterprise trends. Leaders from Dell and NVIDIA and analysts from Forrester Research weigh in. The post Dell’s Project Helix heralds a move toward specifically trained generative AI appeared first on TechRepublic.
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