Day: August 25, 2022
Put your deep learning skills with R into action! – KDnuggets
Sponsored Post Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book is a hands-on guide to deep learning…
AI, ML and robotics to drive India’s healthcare: Prathap Reddy, Apollo Chairman – Moneycontrol
Prathap Reddy Emphasising on a deeper role of technology across all aspects of healthcare in future, Dr. Prathap Reddy, Chairman, Apollo Hospitals, said Artificial Intelligence (AI) and Machine Learning (ML) models will enable healthcare providers to build superior decision support systems to help clinicians in India.“Artificial Intelligence and Machine Learning models will enable us to…
Is Your Data Good Enough for Your Machine Learning/AI Plans? – ReadWrite
Developments in AI are a high priority for businesses and governments globally. Yet, a fundamental aspect of AI remains neglected: poor data quality. AI algorithms rely on reliable data to generate optimal results – if the data is biased, incomplete, insufficient, and inaccurate, it leads to devastating consequences. AI systems that identify patient diseases are…
AI vs. ML: Artificial Intelligence and Machine Learning Overview
The idea that machines can replicate or even exceed human thinking has served as the inspiration for advanced computing frameworks – and is now seeing vast investment by countless companies. At the center of this concept are artificial intelligence (AI) and machine learning (ML). These terms are often used synonymously and interchangeably. In reality, AI…
C-DoT’s Artificial Intelligence (AI) and Machine Learning (ML) play
Developing a local SESH (sentiment, emotion, sarcasm, hate) for social media and chatbots In January of 2022, a study published by The Brookings Institution, ranked India among the leaders in the world for both technology & research and funding in areas of Artificial Intelligence (AI) strategy, products and solutions. According to an IDC forecast the…
How to Package and Distribute Machine Learning Models with MLFlow – KDnuggets
One of the fundamental activities during each stage of the ML model life cycle development is collaboration. Taking an ML model from its conception to deployment requires participation and interaction between different roles involved in constructing the model. In addition, the nature of ML model development involves experimentation, tracking of artifacts and metrics, model versions,…
Technology industry artificial intelligence venture financing deals globally in July 2022 – Verdict
The $400m venture financing of Content Square was the Technology industry’s top artificial intelligence venture financing deal as total deals worth $1.1bn were announced globally in July 2022, according to GlobalData’s deals database. Embed this chart Embed this chart into your website Copy and paste the image source into your website to display the chart….
Hybrid Models in Bioprocessing – Genetic Engineering & Biotechnology News
Although artificial intelligence (AI) and machine learning (ML) are hot buzz words in science today, much more work could be done in applying these techniques to bioprocessing. Harini Narayanan, PhD, a postdoc and AI-expert at the Massachusetts Institute of Technology (MIT), sees three major benefits of applying AI to the bioprocessing of drugs. “First, it…
HiddenLayer forms a Synaptic Adversarial Intelligence team to explore and uncover ML/AI threats – Help Net Security
HiddenLayer has formed its Synaptic Adversarial Intelligence (SAI) team to raise awareness surrounding the threats facing machine learning (ML) and artificial intelligence (AI) systems. The SAI’s primary mission is to educate data scientists, MLDevOps teams, and cyber security professionals on how to evaluate the vulnerabilities and risks associated with ML/AI so they can make more…
Financial companies look at AI and machine learning to reduce cost: KPMG – Economic Times
With enhanced customer service and mounting cost pressures, financial services institutions are looking at Artificial Intelligence (AI) and Machine Learning (ML) to improve cost and operational efficiencies while mitigating business risks. According to the consulting firm KPMG that issued a research paper on “Modern Risk Management for AI Models” accentuating adaptable key pillars of risk…