#Machine Learning

U.S. LEAKED: Artificial Intelligence Just Found ALIENS In SPACE

🔔 Subscribe now for more Artificial Intelligence news, Data science news, Machine Learning news and more. 🦾 Support us NOW so we can create more videos: In the search for extraterrestrial intelligence (SETI), we’ve often looked for signs of intelligence, technology and communication that are similar to...
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Highly accurate machine learning prediction of crystal point groups for ternary materials from chemical formula

One of the most challenging problems in condensed matter physics is to predict crystal structure just from the chemical formula of the material. In this work, we present a robust machine learning (ML) predictor for the crystal point group of ternary materials (A\(_l\)B\(_m\)C\(_n\)) - as first step to predict the structure - with very small set of ionic and positional fundamental features. From ML perspective, the problem is strenuous due to multi-labelity, multi-class, and data imbalance. The resulted prediction is very reliable as high balanced accuracies are obtained by different ML methods. Many similarity-based approaches resulted in a balanced accuracy above 95% indicating that the physics is well captured by the reduced set of features; namely, stoichiometry, ionic radii, ionization energies, and oxidation states for each of the three elements in the ternary compound. The accuracy is not limited by the approach; but rather by the limited data points and we should expect higher accuracy prediction by having more reliable data.
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Round Table

Roundtable: We assess how urban air mobility could support cities’ new transport objectives. This 1-hour workshop equips your with the knowledge, awareness and practical tools to help prepare for hybrid working and learn how to. build and maintain emotional resilience at home and at work. Round Table03 Mar 2021.

Essential Data Science Building Blocks Modular Course (Choose and select according to your knowledge gaps and needs)

The course will familiarize the learners with all essential skill sets required to be a good data scientist and machine learning engineer with real-world practical case studies regardless of their educational and professional background. The course is designed with independent modules starting from basic Python, Exploratory Data Analysis, Data Visualization, Machine Learning, Deep Learning, Computer Visions, and Natural Language Processing.

SAS Tops Aite’s Fraud And AML Machine Learning Platforms Matrix

Aite-Novarica Group has named SAS the best-in-class vendor in its appraisal of the ultra-competitive fraud and anti-money laundering (AML) machine learning platform market. SAS has earned the foremost best-in-class title in Aite-Novarica Group’s Aite Matrix: Leading Fraud & AML Machine Learning Platforms. The AI and analytics leader achieved top billing among 11 competing anti-fraud and financial crime technology vendors, setting the bar in the client strength (96%), vendor stability (95%) and product features (93%) components of the analysis.

Using synthetic data to power machine learning while protecting user privacy

On this episode, we talk to John Myers, CTO and cofounder of Gretel, a company that provides synthetic data for training machine learning models without exposing any of their customers personally identifiable information. On this episode, we talk to John Myers, CTO and cofounder of Gretel. The company provides users...

Supervised vs Unsupervised Machine Learning

Understanding the Difference Between Supervised vs Unsupervised Machine Learning. Artificial intelligence (AI) is being used to change our lives every day. When it comes to building AI programs, there are two approaches programmers tend to choose: supervised or unsupervised machine learning. The simple distinction between these is supervised machine learning...

Summary: Realizing Machine Learning’s Promise in Geoscience Remote Sensing

Machine learning and signal processing methods offer significant benefits to the geosciences, but realizing this potential will require closer engagement among different research communities. Modern signal processing and machine learning concepts applied to imaging spectroscopy analysis have potential benefits for numerous areas of geoscience research. They have, for example, surveyed...

AI vs. Deep Learning vs. Machine Learning: Everything You’ve Ever Wanted to Know

If you’ve spent any time reading articles about tech in the last few years, you’ve likely bumped into some new terms such as artificial intelligence or AI, machine learning or ML, and deep learning. These trending tech terms are often used without explanation of what makes them different. And, to be clear, they’re not interchangeable.

Infinity App: Skyrocket Your Financial Journey with the Advanced Crypto Trading Platform

Cryptocurrencies are built on a decentralised blockchain network. Other parties, like central banks, banks, governments, or brokers, do not influence its transactions. One of its most intriguing features is its ability to exchange digital money at any time. However, many people find investing in Bitcoin (BTC) intimidating, but it is relatively simple if you follow the steps carefully. Additional secure storage options are recommended, and to buy or trade-in Bitcoin, you’ll need a service or exchange account.

Summary: Advanced Machine Learning with Basic Excel

The advanced techniques in question are math-free, innovative, efficiently process large amounts of unstructured data, and are robust and scalable. The technique blends multiple algorithms that at first glance look traditional and math-heavy, such as decision trees, regression (logistic or linear) and confidence intervals. But they are radically different, can fit in a small spreadsheet […]

Deploying machine learning to improve mental health

A machine-learning expert and a psychology researcher/clinician may seem an unlikely duo. But MIT's Rosalind Picard and Massachusetts General Hospital's Paola Pedrelli are united by the belief that artificial intelligence may be able to help make mental health care more accessible to patients. In her 15 years as a clinician...

How to Build a Sentiment Analysis App Using Gradio and Hugging Face

In this article, we are going to create an end-to-end AI Sentiment Analysis web application using gradio and hugging face transformers. Sentiment analysis is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, extract and study affective states and subjective information. In simple words, Sentiments Analysis is the ability of Artificial Intelligence to analyze a sentence or block of text and get the emotions behind that sentence. The project is based on an open-source Machine Learning community where people can download pre-trained machine learning models for use.

30 LinkedIn Top Voices In Tech

The technology market share is just increasing like an oil spill in the ocean and becoming more and more complex and overwhelming to cope with. To help you learn and understand the ever-changing landscape of technology, we are extending a list of 30 Top LinkedIn Voice in Technology. Comprising the array of powerful thought leaders, tech advocates, entrepreneurs, authors, tech evangelists, data scientists & keynote speakers around the globe.

Two Sigma Research: A Machine Learning Approach to Constructing an Inflation-Themed Equity Portfolio

In a recent Street View, our colleagues on the Two Sigma Portfolio Management team analyze the historical relationship of equity sectors and style factors with inflation. They then present a machine learning model that can be used to construct a thematic equity portfolio that should outperform in high inflation periods and underperform in low inflation periods.