Machine Learning
First-Of-Its-kind Stanford Machine Learning Tool Streamlines Student Feedback Process For Computer Science Professors
This past spring, Stanford University computer scientists unveiled their pandemic brainchild, Code In Place, a project where 1,000 volunteer teachers taught 10,000 students across the globe the content of an introductory Stanford computer science course. While the instructors could share their knowledge with hundreds, even thousands, of students at a time during lectures, when it …
How Humans And Machines Can Enhance Each Other’s Strengths With Collaborative Intelligence
“Artificial intelligence is transforming all sectors of the economy, but there’s no reason to fear that robots will replace all human employees. In fact, companies that automate their operations mainly to cut their workforces will see only short-term productivity gains, say the authors. Their research, involving 1,500 firms in a range of industries, shows that …
Registrations Ongoing For Virtual Forum On Industrial Machine Learning Applications
Registration is open through July 29 for the first-ever Machine Learning for Industry Forum (ML4I), a three-day virtual event starting Aug. 10. The forum aims to foster and illustrate the adoption of machine learning methods for practical industrial outcomes, with a strong emphasis on manufacturing. Over the course of the event, attendees will engage in …
What’s At Stake If AI Is Increasingly Being Used To Identify Our Emotions?
Imagine you are in a job interview. As you answer the recruiter’s questions, an artificial intelligence (AI) system scans your face, scoring you for nervousness, empathy and dependability. It may sound like science fiction, but these systems are increasingly used, often without people’s knowledge or consent. Emotion recognition technology (ERT) is in fact a burgeoning …
7 Tech Trends Reshaping the Retail Industry
Transformation in the digital space has completely reshaped shopping, online experiences, and even customer expectations in physical stores. The COVID-19 pandemic’s disruption has turned the industry upside down, bringing with it unparalleled technological innovations. It’s important to consider where these innovations are taking us next by identifying the technological trends that have guided us through …
7 Sneaky Ways Hackers Are Using Machine Learning to Steal Your Data
Machine learning is famous for its ability to analyze large data sets and identify patterns. It is basically a subset of artificial intelligence. Machine learning uses algorithms that leverages previous data-sets and statistical analysis to make assumptions and pass on judgments about behavior. The best part, software or computers powered by machine learning algorithms can …
Together, Human Expertise And AI Can Make City Streets Safer, Scientists Say
Scientists in Spain have used artificial intelligence to identify common patterns in road traffic accidents. They used machine learning and artificial neural networks to analyze hours of video footage and thousands of images of life in Madrid and Barcelona. The results suggest most accidents occur on city streets cluttered with features that distract drivers. AI …
10+ Questions You Should Ask Yourself Before Developing An AI Solution
So, you’d like to spice things up in your current business strategy and add an extra layer of high technology with a sophisticated AI solution. Let me just ask you one simple question first: Are you sure it is the best move? If your eyes sparkle with excitement as you think “Yes!”, you can skip …
Machine Learning Aids In Materials Design
Scientists developed a machine learning algorithm to predict 3D molecular crystal density from 2D chemical structures. A long-held goal by chemists across many industries, including energy, pharmaceuticals, energetics, food additives and organic semiconductors, is to imagine the chemical structure of a new molecule and be able to predict how it will function for a desired …
How To Create Trust In Artificial Intelligence Using Open Source
Opening up the “black box” helps remove uncertainties about AI outcomes, providing insight into the modeling process and identifying biases and errors. Artificial intelligence (AI) is being used more frequently in our daily lives, with systems such as Siri and Alexa becoming commonplace in many households. Many households themselves are “smart,” powered by devices that …