Topic: ml

SD Times Open-Source Project of the Week: Manifold

Manifold is a visual debugging tool for machine learning developed by Uber. Machine learning is widely used across the Uber platform to support decision making and forecasting for features such as ETA prediction and fraud detection, the company explained. The tool aims to help engineers and scientists identify performance issues across ML data slices and … continue reading

Continuous Deployment for ML: The new software development life cycle

The new software development life cycle means working out ways to adapt the SDLC for your machine learning workflow and teams. With data scientists currently spending large chunks of their time on infrastructure and process instead of building models, finding ways to enable the SDLC to work effectively with machine learning is critical for not … continue reading

Implications and practical applications for AI and ML in embedded systems

“Civilization advances by extending the number of important operations we can perform without thinking about them.” —Alfred North Whitehead, British mathematician, 1919 Hailed as a truly transformational technology, artificial intelligence (AI) is positioned to disrupt businesses either by enabling new approaches to solving complex problems, or threatening the status quo for whole business sectors or … continue reading

Analyst Watch: Evaluating the ethics of software

In recent years, technology analysts have devoted much attention to the topic of developers and how the demographics of developers are changing. For starters, the International Data Corporation (IDC) has noted the growth of developer populations in China, India, Brazil, Russia, Indonesia and Turkey, as well as select countries in East Africa. In addition, IDC … continue reading

SD Times news digest: Paperspace announces free GPU cloud service for ML developers, spaCy v 2.2, and Fugue’s support for Open Policy Agent

Paperspace announced “Gradient Community Notebooks,” a free cloud GPU service that was designed for developing machine learning (ML) and deep learing solutions. It’s based on Jupyter notebooks.  The service enables developers to collaborate while using various deep learning frameworks such as PyTorch, TensorFlow, Keras and OpenCV.  “This is precisely why we created Gradient Community: to … continue reading

New AI platform tackles 10 steps of AutoML

A new artificial intelligence platform wants to automate the machine learning process for data scientists and developers from data to impact. AI company Aible announced Aible Advanced, an AutoML solution designed to generate predictive models for businesses.  According to the company, legacy AutoML solutions don’t provide proper access for both developers and data scientists, and … continue reading

Report: Businesses are struggling to obtain the benefits of AI

Despite the promises of artificial intelligence, companies are still trying to figure out how to stabilize and scale their AI initiatives. A newly released report revealed while 63.2 percent of businesses are investing between $500,000 and $10 million on AI efforts, 60.6 percent of respondents continue to experience a variety of operational challenges.  According to … continue reading

premium Man and machine learning: Data projects and the opportunities for developers

As businesses increasingly move their operations to the cloud, they’re recognizing the potential to harness the almost limitless compute power available and tap into artificial intelligence and machine learning technologies to deliver insights and value to the business that were previously beyond their reach. Businesses have never been in a better position to create value … continue reading

SD Times new digest: Databricks’ MLflow 1.0, Nim programming language 0.20, and Visual Studio Code 1.35

Databricks has announced its open-source machine learning platform MLflow has reached 1.0. MLflow was announced last year as a way to help data scientists track and share experiments and models. Since then, the project has grown to more than 100 contributors with its PyPl package download rate reaching about 600K a month, the company explained. … continue reading

Report: Data security is the top business use case for AI and ML

As data becomes increasingly important for businesses and users, more and more organizations are turning to artificial intelligence and machine learning for data protection. Newly released data from TIBCO Software found that data security is the top use case for ML and AI in the workplace. Data security includes risk identification, early detection, operational improvement … continue reading

SD Times news digest: HackerRank’s Tech Talent Matrix, eBay’s HeadGaze project and Android 9’s battery life improvements

HackerRank today announced a new machine learning solution designed to help companies in their software development hiring process. The HackerRank Tech Talent Matrix uses ML to provide companies the proper data on software developer candidates. It analyzes more than 150 million assessments and candidate data points in order to provide insights into technical recruiting efforts … continue reading

LinkedIn releases new data for finding and recruiting machine learning talent

As artificial intelligence becomes more popular, skills like machine learning and deep learning are becoming more in demand. New data released from LinkedIn shows job recruiters are fighting to find machine learning talent. “Machine learning is one of the most in-demand skills. It can feel like everyone’s competing for the same small talent pool, especially … continue reading

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