Online teaching for the next 24 hours: Plenty of audio and video
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AI & ML Tech Post, Jodhpur
Jodhpur, RAJ - Tuesday Sept. 01, 2020 (Noncommercial educational content in news paper format) - (Best to view in three columns)
AI-Based Traffic Management Gets Green Light

ZDNet, Greg Nichols
August 17, 2020

The No Traffic autonomous traffic management company has deployed an artificial intelligence (AI)-driven traffic management system in Phoenix, AZ, switching traffic-light coordination from a timer-based model to one based on demand. The goal is to improve traffic flow and cut vehicle and pedestrian delays at intersections, and the system has reduced vehicle delays by up to 40% in some instances. T he NoTraffic platform monitors road assets as they approach an intersection and calculates optimal service for the intersection in real time, autonomously changing signals accordingly. Phoenix Street Transportation director Kini Knudson said, "We are now seeing the convergence of technology-enabled automobiles and traffic management systems working together to move vehicles more effectively through busy corridors."

Dictionaries to Bolster Unsupervised Language Model Training

Venture Beat, Kyle Wiggers, August 13, 2020

Researchers at Microsoft and China’s Peking and Nankai universities collaborated on a method to increase the efficiency of unsupervised language model pre-training. Taking Notes on the Fly (TNF), inspired by human note-taking, features a note dictionary that saves a rare word's contextual information when the rare word occurs and uses that information to enhance a sentence's semantics when the rare word occurs again. Because the note dictionary is updated on the fly, TNF involves little computational overhead at pretraining, and the note dictionary is discarded when pretraining is complete. The researchers found that TNF accelerates models based on Google’s Bidirectional Encoder Representations from Transformers (BERT) technique throughout the pretraining process; one model reached BERT performance within two days, compared to nearly six days for a TNF-free BERT model. Said the researchers, "If trained with the same number of updates, TNF outperforms original BERT pre-training by a large margin in downstream tasks."
Future Mental Health Care May Include Diagnosis via Brain Scan, Computer Algorithm

University of Tokyo (Japan), August 17, 2020

Researchers at Japan's University of Tokyo are combining machine learning and brain imaging to redefine the standard for mental illness diagnosis, with one team having designed algorithms that distinguish between multiple psychiatric diagnoses. The researchers trained six algorithms on magnetic resonance imaging (MRI) brain scans of 206 adults, including those pre-diagnosed with autism spectrum disorder (ASD) or schizophrenia, those who had just experienced their first psychotic episode, and individuals with no mental health issues. One algorithm learned to connect different psychiatric diagnoses with variable thickness, surface area, or volume of brain regions in MRI scans. When tested on brain scans from another 43 patients, the algorithm's diagnosis matched that of psychiatrists with up to 85% accuracy. The algorithm also could differentiate between non-patients, those with ASD, and those with either schizophrenia or schizophrenia risk factors.

How to Re-Imagine the Second Half of Your Career

by Jeff Gothelf, Harvard Business Review, August 18

Being able to reinvent yourself in your job is particularly important in the technology industry, where technological disruptions automate IT workers out of jobs annually. Remaining viable in the job marketplace means you have to be intentional about where you are going, and you have to be prepared to act when the right opportunity presents itself. With a foundation in your expertise, a thorough and current understanding of your domain and an ever-growing network to lean on, you can guarantee the next job will find you. With that in mind, there are five core concepts to keep in mind as you think about the second half of your career.

Tips For Virtual Job Interviews: Here Is What You Need to Know

USA Today, August 20

In this work-at-home era when most job interviews have turned to the webcam in place of in-person meetings, the networking website LinkedIn has introduced new video practice tools for online interviews. Since more companies are embracing video interviews as a great tool to meet and get to know job candidates, it is important to prepare in advance. LinkedIn now supplies a list of 26 potential questions asked by interviewers and asks you to record your answers on video. Before you get started, LinkedIn also offers video tutorials on each question, with tips from LinkedIn experts on how to answer each question

Amazon Launches Grocery Store with 'Smart' Shopping Carts, Alexa Guides

The Washington Post, Hamza Shaban, August 27, 2020

Amazon opened its first Fresh grocery store in the Woodland Hills neighborhood of Los Angeles, featuring no checkout lines, smart shopping carts, and Alexa virtual assistant-powered guides. Shoppers sign into the Amazon app and put items in a sensor-equipped Dash Cart that identifies each item as it is added and enables customers to use a dedicated checkout lane to pay for those groceries. The store also is integrated with Alexa and Alexa shopping lists, while Echo Show devices can help shoppers navigate the outlet. Unlike the smaller Amazon Go markets, Fresh customers can choose between smart or traditional shopping carts, pay at a checkout lane with cashiers if they prefer, and ask Alexa guides for help.