Day: February 21, 2021
10 Ways AI And Machine Learning Are Improving Marketing In 2021 – Forbes
83% of IT leaders say AI & ML transform customer engagement and 69% say it is transforming their … [+] business, according to Salesforce Research. getty AI and Machine Learning are on track to generate between $1.4 Trillion to $2.6 Trillion in value by solving Marketing and Sales problems over the next three years, according…
Artificial intelligence presents a moral dilemma – Mail and Guardian
Since the outbreak of the pandemic, the world has grown increasingly reliant on artificial intelligence (AI) technologies. Thousands of new innovations — from contact-tracing apps to the drones delivering medical equipment — sprang up to help us meet the challenges of Covid-19 and life under lockdown. The unprecedented speed with which a vaccine for Covid-19…
My Robot Brings All the Boys to the Yard, Its AI is Better than Yours
In this special guest feature, Aviran Yaacov, CEO, and Co-founder of EcoPlant, believes that both AI and ML technologies are making impactful strides in manufacturing, and there is no time like the present for manufacturers to get on board and explore ways to transform their processes to benefit across all fronts. Aviran has over ten…
Work on Artificial Intelligence and Machine Learning Standards Begins
While wide use of artificial intelligence (AI) and machine learning in manufacturing may still be several years off, both technologies are beginning to make their way onto the plant floor and beyond. Potential applications for these technologies run the gamut as unprecedented amounts of data delivered via connected sensors and devices enable properly trained AI…
Explainable Artificial Intelligence for Decoding Regulatory Instructions in DNA – SciTechDaily
Researchers used DNA sequences from high-resolution experiments to train a neural network called BPNet, whose “black box” innerworkings were then uncovered to reveal sequence patterns and organizing principles of the genome’s regulatory code. Credit: Illustration courtesy of Mark Miller, Stowers Institute for Medical Research Opening the black box to uncover the rules of the genome’s…
How to Apply Machine Learning to Business Problems « Machine Learning Times – The Predictive Analytics Times
By: Daniel Faggella, Emerj Originally published in Emerj, April 25, 2020. It’s easy to see the massive rise in popularity for venture investment, conferences, and business-related queries for “machine learning” since 2012 – but most technology executives often have trouble identifying where their business might actually apply machine learning (ML) to business problems. With new AI…
FDA’s AI ML Action Plan will Boost More Investment in AI ML Products – Analytics Insight
Experts view that more investment in AI and ML can provide access to safe and effective medical devices Last month the U.S. Food and Drug Administration introduced the association’s first Artificial Intelligence/Machine Learning (AI/ML)- Based Software as a Medical Device (SaMD) Action Plan. This ‘Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device Action Plan’…
Technical University of Munich: Artificial intelligence deciphers genetic instructions – India Education Diary
With the help of artificial intelligence (AI) a German-American team of scientists deciphered some of the more elusive instructions encoded in DNA. Their neural network trained on high-resolution maps of protein-DNA interactions uncovers subtle DNA sequence patterns throughout the genome, thus providing a deeper understanding of how these sequences are organized to regulate genes. Artificial…
How This Delhi-Based Startup Uses AI To Streamline Legal Workflows Of Fintech Firms
Emerging technologies like AI and ML allow us to predict the future events based on the available data, automate workflows, and mitigate human errors. Machine learning, predictive analytics, and artificial intelligence have upended the fintech industry with improved credit risk assessment in lending, fraud detection in payments and a host of other applications. For this…
Artificial intelligence (AI) and its implementations such as Machine Learning (ML) are promising major breakthroughs in diabetes treatment
Artificial intelligence (AI) attempts to emulate the cognitive functions of humans. It brings a fundamental shift to healthcare, driven by growing healthcare data availability and rapid development of analytical methods. This involves methods of treatment and their consequences, health outcomes, and pace of care collected through millions of patients, geographical areas, and myriad health conditions…