Author Archives:
Prediction of the axial compression capacity of stub CFST columns using machine learning techniques | Scientific … – Nature.com
The scatter plots in Fig.7 illustrate the relationship between experimental and predicted outcomes for various ML models applied to training and testing datasets for columns with different cross-section shapes.
Operationalizing Machine Learning to Drive Business Value | by dparente | Daniel Parente | Feb, 2024 – Medium
MLOps Pipeline MLOps, or Machine Learning Operations, brings together processes, best practices, and technologies to manage putting machine learning models into production environments at scale.
Virginia legislators should be learning all they can about AI – News From The States
When you let your phone unlock itself by scanning your face, ask Alexa or Siri for directions, shop online, apply for a job or check your account in a banking app, your experience is underpinned by artificial intelligence (AI), technology that makes machines mimic human attributes like thinking, learning and suggesting. As AI continues infiltrating nearly every aspect of our society, its crucial that Virginia lawmakers and experts continue to study its benefits and risks. That task is particularly urgent as the technology has been shown to perpetuate inequity that already exists in many of our systems.
Nous Achieves Microsoft AI and Machine Learning Advanced Specialization – AiThority
Nous Infosystems, a leading global IT solutions provider delivering innovative technology services and solutions, announced that it has achieved theMicrosoft AI and Machine Learning Specialization. This advanced specialization solidifies Nous position as a trusted partner for clients and affirms exceptional capabilities in delivering successful solutions leveraging advanced AI and Machine Learning (AI/ML) capabilities
Bell to Deploy Deep Learning AI on Systems and Data in 18-Month Partnership With Mila – The Fast Mode
Mila and Bell last Friday announced an 18-month collaborative project to apply deep learning neural network algorithms to Bell's systems and data. Bell has made significant investments to develop extensive data analytics capabilities and AI applications in multiple areas of its operations, and this collaboration is the latest step in advancing its AI expertise
Can you explain the artificial intelligence? | by Vikram gounder | Feb, 2024 – Medium
Photo by Maximalfocus on Unsplash Artificial intelligence (AI) is a term that is often used in the world of technology, but many people are not fully aware of what it means.
Secure your machine learning models with these MLSecOps tips – TechTarget
In recent years, organizations have moved quickly to integrate new AI technology into their business processes, from basic machine learning models to generative AI tools like ChatGPT. Despite offering numerous business advantages, however, the integration of AI expands organizations' attack surfaces. Threat actors are constantly looking for ways to infiltrate target IT environments, and AI-powered tools can become another entry point to exploit.
Machine learning tool unveils promising drugs to minimise harmful scarring post heart attack – Open Access Government
This cutting-edge computer model promises a breakthrough in cardiac care and also holds the potential to revolutionise drug discovery for various complex diseases. The research led by computational biologist Dr. Anders R.
In the AI science boom, beware: your results are only as good as your data – Nature.com
Hunter Moseley says that good reproducibility practices are essential to fully harness the potential of big data.Credit: Hunter N.B. Moseley We are in the middle of a data-driven science boom. Huge, complex data sets, often with large numbers of individually measured and annotated features, are fodder for voracious artificial intelligence (AI) and machine-learning systems, with details of new applications being published almost daily