In the News
How to Fool Artificial Intelligence
An Introduction to Adversarial Machine Learning: “Breaking” AI Algorithms. Artificial intelligence is rapidly integrating into our everyday lives. Yet, questions linger before we can hand off big buckets of responsibilities to algorithms that magically do the work for us.
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In The News
“Liquid” machine-learning system adapts to changing conditions
MIT researchers have developed a type of neural network that learns on the job, not just during its training phase. These flexible algorithms, dubbed “liquid” networks, change their underlying equations to continuously adapt to new data inputs.
Here’s where AI will advance in 2021
Unlike prior sequence modelling structures such as recurrent neural networks and LSTMs, Transformers depart from the paradigm of processing data sequentially. Graph neural networks Many domains have data that naturally lend themselves to graph structures: computer networks, social networks,...
Applied use cases
Here’s a Way to Learn if Facial Recognition Systems Used Your Photos
When tech companies created the facial recognition systems that are rapidly remaking government surveillance and chipping away at personal privacy, they may have received help from an unexpected source: your face.
This AI optical technology cuts wind turbine eagle deaths by 82%
Wind turbine eagle death study The study, titled, “Eagle fatalities are reduced by automated curtailment of wind turbines,” tested the efficacy of IdentiFlight’s camera system, which detects flying objects, classifies them, and decides whether to curtail individual turbines to avoid potential...
Opinion: What is real intelligent automation?
He has 20 years’ experience delivering enterprise software solutions for Fortune 500 organisations, with a focus on digital transformation, mobility, analytics, business process management, cloud and CRM. Don has led enterprise software implementations and provided technology and architecture...
Ethics
Artificial intelligence must not be allowed to replace the imperfection of human empathy
What they may never develop, however, is the human touch – empathy, love, hate or any of the other self-conscious emotions that make us human. Productivity vs. human touch The obsession with perfection and “hyper-efficiency” has had a profound impact on human relations, even human reproduction, as...
What a picture of Alexandria Ocasio-Cortez in a bikini tells us about the disturbing future of AI
That is my stripped-down summary of the results of a new research study on image-generation algorithms anyway. Researchers fed these algorithms (which function like autocomplete, but for images) pictures of a man cropped below his neck: 43% of the time the image was autocompleted with the man...
Global AI Action Alliance
The Mission To harness the transformative potential of artificial intelligence (AI) by accelerating the adoption of trusted, transparent and inclusive AI systems globally. It has also created learning gaps, with activities happening in silos and few mechanisms in place to drive global collaboration...
Robotics
As Robots Fill the Workplace, They Must Learn to Get Along
Warehouses, factories, and hospitals are deploying more robots, often made by different companies. That can lead to communication problems.
Women in Robotics Update: Andra Keay, Nguyen Sao Mai and Selin Alara Örnek
I also love succeeding – the feeling when my robots come to life is unbelievable.” says Selin Alara Örnek a high school student who has built five robots, including a robot guide dog for the blind.
Comparison of Human Social Brain Activity During Eye-Contact With Another Human and a Humanoid Robot
What these past studies suggest is that: 1) human-human eye-contact has a uniquely strong impact on activity in the rTPJ; 2) spontaneous involvement of the rTPJ suggests individuals engage in implicit ToM during human-human eye-contact; and 3) appearance, movement, and coordinated task...
Research
Why machine learning algorithms are hard to tune and how to fix it
In machine learning, linear combinations of losses are all over the place. In fact, they are commonly used as the standard approach, despite that they are a perilous area full of dicey pitfalls. Especially regarding how these linear combinations make your algorithm hard to tune.
3,068 Machine Learning Datasets
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits. It has a training set of 60,000 examples, and a test set of 10,000 examples.
Microsoft Research Conversations in STEM Medical and Health Technology
Join us for a fascinating – and timely – discussion about what’s new in healthcare tech featuring MSR’s Emma Pierson, Pashmina Cameron and Jina Suh, three scientists exploring new ways to leverage the power of technology to improve medicine, healthcare and human wellbeing.