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In the News

Learning from videos to understand the world

Continuously learning from the world around us is one of the hallmarks of human intelligence. Just as we quickly learn to recognize people, places, things, and actions through observation, AI systems will be smarter and more useful if they can mimic the way humans learn.

facebook.com

Research

Introducing the NeurIPS 2021 Paper Checklist

In 2019, NeurIPS introduced a reproducibility program, consisting of a code submission policy, a community-wide reproducibility challenge, and the inclusion of a reproducibility checklist as part of the paper submission process.

medium.com


Graph Transformer: A Generalization of Transformers to Graphs

This blog is based on the paper A Generalization of Transformer Networks to Graphs with Xavier Bresson at 2021 AAAI Workshop on Deep Learning on Graphs: Methods and Applications (DLG-AAAI’21).

We present Graph Transformer, a transformer neural network that can operate on arbitrary graphs.

topbots.com


When are Neural Networks more powerful than Neural Tangent Kernels?

The empirical success of deep learning has posed significant challenges to machine learning theory: Why can we efficiently train neural networks with gradient descent despite its highly non-convex optimization landscape? Why do over-parametrized networks generalize well?

offconvex.org

Applied use cases

Opinion: How AI can protect users in the online world

Step forward, Artificial Intelligence (AI) – advanced machine learning technology that plays an important role in modern life and is fundamental in how today’s social networks function. Advanced safety features AI has proven to be an effective weapon in the fight against online harassment and the...

artificialintelligence-news.com


Machine learning meets creative content: How new tools are taking the drag out of creativity and inventing new genres

Not only do they make content production easier, they take the drag out of the creative process itself. Machine Learning tools are reinventing the creative process There are two types of creative tools. Synthesia started out attempting to make video production easier and faster, but soon realised it...

mosaicventures.com


Alignment of Language Agents

We categorise the ways a machine learning task can be misspecified, based on whether the problem arises from the training data, the training process itself, or from a distributional shift (i.e. Training process misspecification can occur when a learning algorithm designed for solving one kind of...

medium.com

Market News

Can Artificial Intelligence Replace Human Therapists?

Could artificial intelligence reduce the need for human therapists? Websites, smartphone apps and social-media sites are dispensing mental-health advice, often using artificial intelligence.

wsj.com


Artificial Intelligence: Blazing A Trail For The Future

However, amid its continuously evolving nature and the need for ensuring ongoing management, organizations still confront challenges when implementing AI. When combining human and machine work, companies may embrace such benefits as an accelerated working process, increased employee effectiveness...

forbes.com


Why AI can’t solve unknown problems

One set of numbers represents the inputs that the system receives, one set of numbers represents the outputs that the system produces, and the third set of numbers represents the machine learning model.” Therefore, while supervised machine learning is not tightly bound to rules like symbolic AI, it...

bdtechtalks.com

Ethics

Facebook gets a C; startup rates the ‘ethics’ of social media platforms, targets asset managers

We’ve built a model to analyze technology governance. We’ve covered 20 industries. So most of what we’ve published so far has been non-tech companies because these are risks that are inherent in many other industries, other than simply social media or big tech. But over the next couple of weeks, we’re going live with our data on things which are directly related to tech, starting with social media.

techcrunch.com


AI: Ghost workers demand to be seen and heard

The most well-established of these crowdsourcing platforms is Amazon Mechanical Turk, owned by the online retail giant and run by its Amazon Web Services division. These tasks could be anything from labelling images to help computer vision algorithms improve, providing help for natural language...

bbc.com


How easy would it be to snuff out humanity?

Without it the world can’t provide sustainable energy, nourishing food and good health for an expanding and more demanding population. And what about another transformative technology: robotics and artificial intelligence (AI)?

independent.co.uk

Robotics

Boston Dynamics’ New Robot Doesn’t Dance. It Has a Warehouse Job

Boston Dynamics’ New Robot Doesn’t Dance. It Has a Warehouse Job Called Stretch, the machine may look wildly different than its famous cousins Spot and Atlas, but it shares a ton of their DNA.

wired.com


BMW’s IdealWorks Validates (and Challenges) AMR Sector

With the availability of excellent 3D cameras, increasingly affordable LiDAR, more processing hardware and an open-source ecosystem anchored by Robot Operating System (ROS) and SDKs like NVIDIA ISAAC, can any team of half-decent roboticists enter the market?

roboticsbusinessreview.com


Boston Dynamic's new 'Stretch' robot is designed for boxes, not backflips

Boston Dynamics has revealed its latest robot, Stretch, designed for far less glamorous purposes than its other creations. Where Spot and Atlas grabbed headlines with backflips and dancing, Stretch is designed to move boxes in warehouses, TechCrunch has reported.

engadget.com