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Tag: Machine Learning

Technical Debt In Machine Learning System – A Model Driven Perspective
The aphorism acknowledges that models of our knowledge always fall short of the complexities of reality but can still be useful nonetheless. With this model background, let us delve into this article focusing on specific technical debt in Machine Learning System development. The post Technical Debt In Machine Learning System …
Streamlining a machine learning process flow: Planning is the key
AI Under the Hood: Mixing Things Up – Optimizing Fluid Mixing with Machine Learning
Fluid mixing is an important part of several industrial processes and chemical reactions. However, the process often relies on trial-and-error-based experiments instead of mathematical optimization. While turbulent mixing is effective, it cannot always be sustained and can damage the materials involved. To address this issue, researchers from Japan (Tokyo University …
Active learning overcomes the ML training challenges
Active learning (AL) is a key technique for most supervised machine learning models because they need a lot of data to be trained in order to operate properly. Most businesses have trouble giving data scientists access to this data, specially tagged data. The latter is essential for any supervised model
The Secret to Automating Machine Learning Life Cycles
In this contributed article, Lucas Bonatto, CEO & Founder of Elemeno, suggests that the constant use, upgrade, and acceleration of AI and machine learning will create countless opportunities for enabling innovation in organizations outside IT, as well as adapting to changes in the IT Operations Model. The secret to automating …
Digitalization in Healthcare Industry- What’s New in 2022
The rapid evolution of digital innovations has ensured the modification of systems, interactions, and processes associated with the health and wellness industry. Through better, more transparent, and inclusive systems, patients […] The post Digitalization in Healthcare Industry- What’s New in 2022 appeared first on Datafloq.
The Cagle Report – Episode 1 – Send in the Drones
An interview with Brenden Bartholomew, President of Vector Aerial, on the use of drones in both military and civilian contexts, as well as a discussion about how Drone AI works and where it's heading The post The Cagle Report – Episode 1 – Send in the Drones appeared first on …
TOP 10 insideBIGDATA Articles for August 2022
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features …
This ML algorithm identifies undiagnosable cancers
A machine learning approach developed by researchers at MIT’s Koch Institute and Massachusetts General Hospital (MGH) may aid in cancer diagnosis of the unknown primary by examining gene expression programs associated with early cell development and differentiation. The scientists focused the model on indicators of disrupted developmental pathways in cancer …
How do We Annotate an Image
Business-specific image annotation customized to your automation goals – let custom image annotation experts bring you the aid to functionalize your AI model. Cogito specializes in image annotation technology and […] The post How do We Annotate an Image appeared first on Datafloq.
Starbucks Customer Segmentation: Creating Targeted Advertisements
Introduction Starbucks is a multi-billion dollar company with over fifteen thousand stores in the United States, serving tens of millions of customers per year. They are not just a purveyor of coffee, snacks, and light meals; but a brand. In order to maintain this status, Starbucks offers a multitude of …
insideBIGDATA Latest News – 9/1/2022
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 …
Using AI and LiDAR Annotation to Reduce Road Gridlock
The problem of traffic congestion in road transportation has become an important real-time transportation problem in countries all over the world. Assessing and eliminating this problem requires the application of […] The post Using AI and LiDAR Annotation to Reduce Road Gridlock appeared first on Datafloq.
Using AI and LiDAR Annotation to Reduce Road Gridlock
The problem of traffic congestion in road transportation has become an important real-time transportation problem in countries all over the world. Assessing and eliminating this problem requires the application of […] The post Using AI and LiDAR Annotation to Reduce Road Gridlock appeared first on Datafloq.
15 Data Issues and How to Fix Them – Second Part
In the first part here, I discussed missing, outdated and unobserved data, data that is costly to produce, as well as dirty, unbalanced and unstructured data. This second part deals with biased, inconsistent, siloed, too big or fast flowing data. I also cover security/privacy, data leakage and precision issues. Then, …
A Model For Technical Debt In Machine Learning Systems
Technical Debt describes what results when development teams take conscious actions to expedite the delivery of a piece of functionality or a project which later needs to be remediated via refactoring. The post A Model For Technical Debt In Machine Learning Systems appeared first on Data Science Central.
SiMa.ai Ships Purpose-built Machine Learning SoC Platform to Customers for Embedded Edge Applications
SiMa.ai, the machine learning company enabling effortless deployment and scaling at the embedded edge, announced that it has begun shipping the industry’s first purpose-built software-centric Machine Learning System-on-Chip platform for the embedded edge – the MLSoC.
Heard on the Street – 8/30/2022
Welcome to insideBIGDATA’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.