Posts in tag

Deep Learning


What does it mean for a machine to learn? In a way, machines learn just like humans. They infer patterns from data through a combination of experience and instruction. In this article, we will give you a sense of the applications for machine learning and explain why Python is a perfect choice for getting started. …

Scientists have been able to map billions of individual trees and shrubs in West Africa using a new method, with great accuracy. This method involves combining large amounts of high-resolution satellite data, advanced computing capacities, machine-learning techniques and extensive field data gathered over decades. The result was a publicly available database of 1.8 billion trees …

In 2019, more than 627 million online records were comprised due to hacking and other types of cyber attacks. This is a pretty staggering number to anyone who has made an online transaction, but the amount of attacks that were stopped is much higher, so it’s worth some optimism. As COVID-19 has pushed many companies …

Melanoma is a type of malignant tumor responsible for more than 70 percent of all skin cancer-related deaths worldwide. For years, physicians have relied on visual inspection to identify suspicious pigmented lesions (SPLs), which can be an indication of skin cancer. Such early-stage identification of SPLs in primary care settings can improve melanoma prognosis and …

Creating a smart algorithm is not yet a given for many entrepreneurs and small businesses, who might lack the resources to launch a successful Artificial Intelligence program. Much like the rest of the world, Artificial Intelligence (A.I.) has a 1% problem. While (very) large corporations benefit from the vast amount of data available to them, as well …

In my previous story Data Scientist — 12 Steps From Beginner to Pro I described how to master a profession from scratch. In this article, I will focus on the key skills required to become a Data Scientist. ? Hard Skills ? 1. Mathematical base Knowledge of machine learning techniques is an integral part of the Data …

Lawrence Livermore National Laboratory (LLNL) computer scientists have developed a new framework and an accompanying visualization tool that leverages deep reinforcement learning for symbolic regression problems, outperforming baseline methods on benchmark problems. The paper was recently accepted as an oral presentation at the International Conference on Learning Representations (ICLR 2021), one of the top machine …

New work by computer scientists at Lawrence Livermore National Laboratory (LLNL) and IBM Research on deep learning models to accurately diagnose diseases from X-ray images with less labeled data won the Best Paper award for Computer-Aided Diagnosis at the SPIE Medical Imaging Conference on Feb. 19. The technique, which includes novel regularization and “self-training” strategies, …

Lawrence Livermore National Laboratory (LLNL) computer scientists have developed a new deep learning approach to designing emulators for scientific processes that is more accurate and efficient than existing methods. In a paper published by Nature Communications, an LLNL team describes a “Learn-by-Calibrating” (LbC) method for creating powerful scientific emulators that could be used as proxies …

Artificial Intelligence has powerfully penetrated the way we live. It doesn’t only change the way we work but also reshaped how we used to live. Speaking of AI, it is one of the most interesting technologies that we’ve ever encountered. Without a doubt, AI is contributing a lot in boosting business and IT productivity. Therefore, …