In the News
Want to Get Along With Robots? Pretend They’re Animals
Pretend They’re Animals Robotics ethicist Kate Darling surveys our history with animals—in work, war, and companionship—to show how we might develop similar relationships with robots. Just as we can’t help but ascribe agency to animals, we also project intent, emotions, and expectations onto...
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In The News
A Review of Artificial Intelligence and Cardiac Arrest
[1] The AI software monitoring of vital signs +/- labs can detect changes earlier and can help predict cardiac arrest more accurately and earlier than existing risk models. Studies show machine learning (ML) and more specifically deep learning (DL) can help predict patients at risk for cardiac...
Machine Learning Basics For Data Science Enthusiasts
Overview Need of Machine Learning In Modern World Various Concepts Related To Machine Learning Resources to Learn Machine Learning Scope Of Machine Learning Machine learning is an emerging technology that enables computers to learn automatically from past historical data.
Applied use cases
Reinforcement Learning for Industrial AI with Pieter Abbeel
Today we’re joined by Pieter Abbeel, a Professor at UC Berkeley, co-Director of the Berkeley AI Research Lab (BAIR), as well as Co-founder and Chief Scientist at Covariant. In our conversation with Pieter, we cover a ton of ground, starting with the specific goals and tasks of his work at Covariant,...
Flashlight: Fast and flexible machine learning in C++
Combined with a fast, lightweight autograd — a deep learning staple that automatically computes derivatives of chained operations common in deep neural networks — Flashlight also features modular abstractions for working with data and training at scale.
Robotics trends: Artificial Intelligence leads Twitter mentions in Q1 2021
Machine Learning – 4,937 mentions The role of machine learning (ML) in microrobots swimming faster to reach their targets, devices that can read your mind, and the advancement of automated robotic solutions for agriculture, were popularly discussed in Q1 2021. Big Data – 2,414 mentions AI companies...
Ethics
Moving away from AI ethics as “window-dressing” to scientifically informed policies
But as Joanna J. Bryson pointed out in her recent talk at the Schwartz Reisman Institute’s (SRI) weekly seminar, AI is “just another artifact,” an ordinary extension of human-made technologies that is now meshed into our society.
Creativity in the Era of Artificial Intelligence
This paper details the various aspects of creativity from a value-creation and process perspective, highlighting where AI might be a useful mechanism to augment rather than replace our abilities. Intrinsic limits of AI for a self-contained creative agent In the Wallas model of creativity that spans...
🔮 AI ethics; Amazon’s good and bad; The cold-hot war; Climate change on Google Earth & Psilocybin as an antidepressant ++ #318
But like it or not, AI technologies and intelligent systems will make huge advances in the next two decades—revolutionizing medicine, entertainment, and transport; transforming jobs and markets; enabling many new products and tools, and vastly increasing the amount of information that governments...
Robotics
Multiply Labs raises $20M for robotic pharma manufacturing
Multiply Labs, a San Francisco-based company developing automated manufacturing systems to produce individualized drugs at scale, raised $20 million in a Series A funding. The oversubscribed round brings Multiply Labs’ total funding raised to date to more than $25 million. Multiply Labs is...
On sustainable robotics
In recent papers we have defined responsible robotics as the application of Responsible Innovation in the design, manufacture, operation, repair and end-of-life recycling of robots, that seeks the most benefit to society and the least harm to the environment.
Webinar: Collaborative Robotics 2021 – New Systems, Applications and Opportunities – April 21
This webinar will act to increase clarity, providing a snapshot of the current state of the collaborative robotics sector, including emerging capabilities, new applications and business models, and powerful enabling technologies, as well as a description of what to expect in the future. Topics...
Research
Import AI 245: Facebook’s 12 trillion parameter recommender model; synthetic content makes games infinite; Baidu releases a translation dataset
Facebook tries to make fairer AI systems by creating a more diverse dataset:…You can’t test for fairness if your dataset is unfair. The point of the dataset is to make it easier to study issues of fairness in AI – we know AI systems have disparate...
flashlight / flashlight
model.add(View(af::dim4(IM_DIM, IM_DIM, 1, -1))); model.add(Conv2D( 1 / input channels /, 32 / output channels /, 5 / kernel width /, 5 / kernel height /, 1 / stride x /, 1 / stride y /, PaddingMode::SAME; / padding mode /, PaddingMode::SAME; / padding mode /)); model.add(ReLU());...
Interpretable survival prediction for colorectal cancer using deep learning
In this study, we first present a weakly supervised deep learning system (DLS) for predicting disease-specific survival (DSS) in colorectal cancer patients and then develop a method for generating human-interpretable histologic features that can both explain the DLS predictions and be used as...