Search Results for: Intel

Ambiq Optimized AI Features Development with neuralSPOT

Ambiq®, a technology pioneer in ultra-low power semiconductor products and solutions, introduced neuralSPOT®, an open-source AI developer-focused SDK designed for Ambiq’s latest Apollo4 Plus system on chip (SoC) family. While leveraging Ambiq’s proprietary SPOT® platform, neuralSPOT unlocks a game-changing, multi-fold improvement in energy efficiency for our end customers’ electronic products. The SDK encompasses essential software and tools for developers to advance AI features for their applications.

insideAI News Latest News – 11/21/2022

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Machine Learning Career Path: Exploring Opportunities in 2022 and Beyond

In this special guest feature, George Tsagas, Owner of eMathZone, discusses how machine learning professionals can work as data scientists, computer engineers, robotics engineers, or managers. But if you want to make a career, the first step in finding opportunities in the field of machine learning is to understand the different types of jobs and skills needed.

2023 Trends in Data Modeling 

In this contributed article, editorial consultant Jelani Harper discusses how the centrality of data modeling to data management will likely remain for some time. What’s most notable about this fact is it’s becoming considerably simpler to perform some of the basic tasks associated with this discipline. From flexible, schema-on-read models to the multitude of options for clarifying semantics and implementing the basics of domain models, data modeling’s effectiveness is increasing almost as much as the effort it requires is decreasing.

“Above the Trend Line” – Your Industry Rumor Central for 11/16/2022

Above the Trend Line: your industry rumor central is a recurring feature of insideAI News. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Heard on the Street – 11/14/2022

Welcome to insideAI News’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

The Chaos of Collaboration Data: Understanding the New Unstructured Data Set

In this special guest feature, Chris Plescia, Chief Technology Evangelist, Aware, highlights how conversational platforms and tools such as Slack, Microsoft Teams, Yammer, and Workplace from Meta have made the digital workplace more productive, social and collaborative but they’ve also introduced a non-standard data set into the enterprise. The article will help readers to understand the new data set by describing IT challenges, governance risks, and other considerations for the collaboration ecosystem.

Run:ai Launches Full-Stack Solution for Hyper-Optimized Enterprise AI Built on NVIDIA DGX Systems

Run:ai, a leader in compute orchestration for AI workloads, announced the launch of the Run:ai MLOps Compute Platform (MCP) powered by NVIDIA DGX™  Systems, a complete, full-stack AI solution for enterprises. Built on NVIDIA DGX systems and using Run:ai Atlas software, Run:ai MCP is an end-to-end AI infrastructure platform that seamlessly orchestrates the hardware and software complexities of AI development and deployment into a single solution, accelerating a company’s ROI from artificial intelligence. 

How Conversation Design is Using Machine Learning to Make Robots More Helpful

In this special guest feature, Dmitry Gritsenko, CEO of the Master of Code Global, suggests that as interest in the commercial use of conversation design continues to rise, it’s a great time to look at the technologies that are making all of this possible as well as its impact on users today and in the future.

CoreWeave Among First Cloud Providers to Offer NVIDIA HGX H100 Supercomputers Set to Transform AI Landscape

CoreWeave, a specialized cloud provider built for large-scale GPU-accelerated workloads, announced it is among the first to offer cloud instances with NVIDIA HGX H100 supercomputing. CoreWeave, Amazon, Google, Microsoft and Oracle are the first cloud providers included in the launch of this groundbreaking AI platform.