The School of Engineering has announced that MIT has granted tenure to eight members of its faculty in the departments of Chemical Engineering, Electrical Engineering and Computer Science, Materials Science and Engineering, Mechanical Engineering, and Nuclear Science and Engineering. "This year's newly tenured faculty are truly inspiring," says Anantha Chandrakasan, dean of the School of Engineering and Vannevar Bush Professor of Electrical Engineering and Computer Science. "Their work as educators and scholars has shown an incredible commitment to teaching and research -- they have each had a tremendous impact in their fields and within School of Engineering community." This year's newly tenured associate professors are: Mohammad Alizadeh, in the Department of Electrical Engineering and Computer Science and the MIT Computer Science and Artificial Intelligence Laboratory, focuses his research in the areas of computer networks and systems. His research aims to improve the performance, robustness, and ease of management of future networks and cloud computing systems.

I don't have a crystal ball, so I can't predict what the future will look like; however, I do know that technology is changing and growing quickly, especially in the communication industry. This is propelling us into a new world of different opportunities. The challenges of the last year, for all their anguish, have actually spotlighted the future of communication. More than anything, it has highlighted that we value human interaction. By combining high-quality, people-centered interactions with good technology, we can change the way we communicate.

Postdoctoral researcher will use AI to study implicit bias in middle school students

Would you like to learn a language from a friendly piece of software? Berlitz has been in the business of language instruction for 143 years. They've been looking to move forward with 21st Century technology, but at the same time "Berlitz has built our methodology and brand on delivering the best outcomes for students serious about fluency, which requires a very human centric experience," said Curt Uehlein, Berlitz's CEO. Digital online resources for learning language are surprisingly sparse. Search for language instruction videos on YouTube and you'll find a handful of short, often homemade, videos covering some basic vocabulary.

Goto: Amazon DynamoDB: Building NoSQL Database-Driven ApplicationsThis course introduces you to NoSQL databases and the challenges they solve. Expert instructors will dive deep into Amazon DynamoDB topics such as recovery, SDKs, partition keys, security and encryption, global tables, stateless applications, streams, and best practices. DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multiregion, multimaster database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and support peaks of more than 20 million requests per second.

In Plato's Phaedrus, Socrates tells a story about the Egyptian god Thoth, whose inventions include writing. Socrates relates how Theban king Thamus warned the god that his discovery would "create forgetfulness in the learners' souls". "They will be hearers of many things and will have learned nothing," Socrates recounts, in a translation by Oxford scholar Benjamin Jowett. "They will appear to be omniscient and will generally know nothing; they will be tiresome company, having the show of wisdom without the reality." The passage could be taken as evidence of Phillip Dawson's assertion that "panics" about new technologies and their impacts on learning date back two-and-a-half millennia. Sometimes there is good reason for concern, according to Dawson, associate director of the Centre for Research in Assessment and Digital Learning at Deakin University.

Here we go again, sixteen racers clash to fight for three places in the championships during the AWS re:Invent conference in Las Vegas. This month it was even more competitive than in May. The difference between the first and sixteenth racer was less than 5 seconds this month. The track encouraged some fast racing but then fast bots in the main race were quite a bit of a nuisance and could easily block the car from going faster. Udacity and AWS invite you to participate in the scholarship program where you can be given access to a Machine Learning NanoDegree teaching various aspects of working with machine learning and deploying it in production. Registrations have been extended till 12th of July. All you need to do is create a new community race in the AWS DeepRacer Console and select "LIVE race" as the format. Just note that the race is available for four hours only and shuts down after that time.

In this project-based course, you are going to build an end-to-end machine learning pipeline in Azure ML Studio, all without writing a single line of code! This course uses the Adult Income Census data set to train a model to predict an individual's income. It predicts whether an individual's annual income is greater than or less than $50,000. The estimator used in this project is a Two-Class Boosted Decision Tree classifier. Some of the features used to train the model are age, education, occupation, etc.

Online education also helps equalize disabled students with the rest of the class, as certain disabilities are not visible when communicating online, and the curriculum can be tailored to meet disability requirements. Advances in edtech are also making communicating with peers smoother, allowing disabled students to debate and discuss better. Braille-enabled accessories, hearing aid-compatible headsets, sign language translating software and text-to-speech tools are a few examples of how edtech can help in this regard. With edtech making it possible for disabled students to learn from home, it also prepares students for the future of work, which is going to be more hybrid.

As part of the lead-up to Transform 2021 coming up July 12-16, we're excited to put a spotlight on some of our conference speakers who are leading impactful diversity, equity, and inclusion initiatives in AI and data. We were lucky to land a conversation with Huma Abidi, senior director of AI software products and engineering at Intel. She spoke about her DE&I work in her private life, including her support for STEM education for girls in the U.S. and all over the world, founding the Women in Machine Learning group at Intel, and more. HA: This one is easy. I lead a globally diverse team of engineers and technologists responsible for delivering world-class products that enable customers to create AI solutions.