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2023 Trends in Artificial Intelligence and Machine Learning: Generative AI Unfolds  

In this contributed article, editorial consultant Jelani Harper offers his perspectives around 2023 trends for the boundless potential of generative Artificial Intelligence—the variety of predominantly advanced machine learning that analyzes content to produce strikingly similar new content.

Chung-Ang University Researchers Develop Algorithm for Optimal Decision Making under Heavy-tailed Noisy Rewards

Researchers from South Korean Chung-Ang University propose methods that theoretically guarantee minimal loss for worst case scenarios with minimal prior information for heavy-tailed reward distributions.

d-Matrix Unlocks New Potential with Reinforcement Learning based Compiler for at Scale Digital In-Memory Compute Platforms

d-Matrix, a leader in high-efficiency AI-compute and inference, announced a collaboration with Microsoft using its low-code reinforcement learning (RL) platform, Project Bonsai, to enable an AI-trained compiler for d-Matrix’s unique digital in memory compute (DIMC) products. The user-friendly Project Bonsai platform accelerates time to value, with a product-ready solution that cuts down on development efforts using an AI-based compiler that leverages ultra-efficient DIMC technology from d-Matrix.

The Ultimate Guide for Computer Vision Deployment on NVIDIA Jetson

Our friends from the Deci Team offer “The Ultimate Guide for Computer Vision Deployment on NVIDIA Jetson” which is perfect if you’re running or planning to run computer vision applications on NVIDIA Jetson devices. Written by Deci’s deep learning engineers for deep learning engineers, here’s what you’ll learn: (i) Best practices and technical know-how on model selection, training, optimization and deployment on Jetson, (ii) Tips for selecting the right NVIDIA Jetson for your use case, (iii) Code, tools, further resources for every recommendation provided

Six Key Components to Enhance Your MDM Program

In this special guest feature, Robert Eichelman, Solutions Architect at Experis, shows that whether you are starting to build your Master Data Management (MDM) approach or are continuing to evolve your current program, there are key MDM fundamentals to keep in mind. This article outlines six steps to help businesses evaluate and sustain an extendable program to help ensure future success.

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.

With Sustainability Analytics, Big Data Can Save the World

In this contributed article, Cashion “Cash” East, Director of Analytics for Higg, discusses how sustainability analytics requires a lot of data from many different sources. Some of that data already exists and is standardized, while other data is coming from new sources with no established standards. In order for companies to collect and organize ESG data in a meaningful and efficient way, the article recommends that companies start doing five things as they begin building out their sustainability insights platform.

insideBIGDATA 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.

Snorkel AI Accelerates Foundation Model Adoption with Data-centric AI

Snorkel AI, the data-centric AI platform company, today introduced Data-centric Foundation Model Development for enterprises to unlock complex, performance-critical use cases with GPT-3, RoBERTa, T5, and other foundation models. With this launch, enterprise data science and machine learning teams can overcome adaptation and deployment challenges by creating large, domain-specific datasets to fine-tune foundation models and using them to build smaller, specialized models deployable within governance and cost constraints.

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.