AI requires enormous and expensive leaps of knowledge about data, which itself is often under-governed. Questions about where to deploy ML plus concerns over costs, security, compliance, and ethics can stop the journey before it even begins. But what if…
While many people know machine learning as the technology that drives some consumer applications, like personal digital assistants Siri and Alexa, it’s also used by healthcare providers to extract value from vast quantities of patient charts and other documents to…
Chief Marketing Officers (CMOs) and the marketing teams they lead are expected to excel at creating customer trust, a brand that exudes empathy and data-driven strategies that deliver results. Personalizing channel experiences at scale works when CMOs strike the perfect…
AI and machine learning have emerged as modern, vital ways for organizations to get ahead. Many businesses today prioritize data, analytics and AI/machine learning projects to power new business models, enhance product and service offerings, improve efficiency, drive revenue and…
The good news is that Tiny Machine Learning (TinyML) sidesteps all those downsides while tacking on data privacy as the cherry on top. TinyML is a technique or field of study in machine learning and embedded systems that explores which machine-learning…
In a new machine learning approach, engineers did away with the human brain and all its beautiful complexity. Whereas most machine learning algorithms can’t hone their skills beyond an initial training period, the researchers say the new approach, called a…
Automatic machine learning (AutoML) is a fast-growing area of deep learning. In simple terms, AutoML seeks to automate the end-to-end process of applying machine learning to real-world problems. Unlike other machine-learning techniques, AutoML requires relatively little human effort, which means…
A machine learning algorithm accurately determined how well skin cancer patients would respond to tumor-suppressing drugs in four out of five cases, according to research conducted by a team from NYU Grossman School of Medicine and Perlmutter Cancer Center. “While…
Researchers and provider organizations have increasingly embraced artificial intelligence (AI) and machine learning (ML) tools to reduce and track the spread of COVID-19 and to improve their surveillance efforts. While organizations should focus on immediate data-supported tactics, such as improving…
A trans-institutional team of Vanderbilt engineering, data science and clinical researchers has developed a novel approach for monitoring bone stress in recreational and professional athletes, with the goal of anticipating and preventing injury. Using machine learning and biomechanical modeling techniques,…
