In the News
The AI Company Helping the Pentagon Assess Disinfo Campaigns
The AI system, from Primer, a company focused on the intelligence industry, identified key themes in the information campaign by analyzing thousands of public news sources. In practice, Primer’s system can analyze classified information too. The analysis, compiled for WIRED, shows how Russian news outlets began pushing a narrative in July designed to bolster its ally Armenia and undermine its enemy Azerbaijan.
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In The News
Doctor GPT-3: hype or reality?
This property is a huge improvement compared to previous, less complex language models, and is much closer to actual human behavior - we don’t need thousands of examples to distinguish a cat from a dog.
Advancing AI in health care: It’s all about trust
Genuine advances will require a sustained research effort into reworking the fundamentals of AI as we know it. The long-promised AI revolution may someday arrive, but for patient safety, it is important we be leery of premature declarations of victory.
Applied use cases
AI Cures: data-driven clinical solutions for Covid-19
As part of the mission of AI Cures to have broad impact and engagement, Jameel Clinic brought together researchers, clinicians, and public health specialists for a conference focused on the development of AI algorithms for the clinical management of Covid-19 patients, early detection and monitoring...
Automating Society Report 2020
In principle, ADM systems have the potential to benefit people’s lives – by processing huge amounts of data, supporting people in decision-making processes, and providing tailored applications.
Ex-Googler Meredith Whittaker on Political Power in Tech, the Flaws of ‘The Social Dilemma,’ and More
When I interviewed Tristan Harris about The Social Dilemma earlier this month, my mentions filled with people saying, “You should speak to the people who were critical of the social web long before the film.” One name stood out: Meredith Whittaker.
Ethics
There's No Turning Back on AI in the Military
In the digital arms race with China, the only thing worse than fearing AI itself is the fear of not having it at all. Consequently, service members lead personal lives digitally connected to almost everything and military lives connected to almost nothing.
AI Weekly: Constructive ways to take power back from Big Tech
During the talk, Tristan Harris emphasized the need for systemic accountability and transparency in Big Tech companies so the public can better understand the scope of problems.
RoboTED: a case study in Ethical Risk Assessment
A few weeks ago I gave a short paper at the excellent International Conference on Robot Ethics and Standards (ICRES 2020), outlining a case study in Ethical Risk Assessment - see our paper here..
Robotics
Hawk-inspired robot with movable wings is an agile long-distance flyer
A robot with wings that move like a hawk’s can fly more stably and nimbly than other flying robots – and it uses less power, extending flight time.
New Assistant Professor Sarah Sebo Wants to Build Better Robot Teammates
While earning her PhD at Yale University, she worked in the Social Robotics lab of Brian Scassellati, using computational modeling and interactive robots to study human behavior and the effectiveness of robotic assistants in school settings and within collaborative teams.
Rise of the robots: automation and tech becoming more popular as pandemic restricts human contact
For humans to be comfortable with robots, they must be designed in ways that don’t creep us out: researcher For years, the rapid advance of technology has stoked fears that robots are coming for humans' jobs.
Research
Targeted adversarial attacks with Keras and TensorFlow
In this tutorial, you will learn how to perform targeted adversarial attacks and construct targeted adversarial images using Keras, TensorFlow, and Deep Learning.
[R] Latest research on meta-learning: A compilation of recent conference talks
Here is a digest of recent meta-learning research talks: While traditional matrix factorization-based methods and recently, some deep learning-based techniques have been quite successful for recommendation systems, the user cold-start and item cold-star problem still remain a challenge.
The unreasonable effectiveness of synthetic data with Daeil Kim
View all podcasts Daeil Kim is the co-founder and CEO of AI.Reverie, a startup that specializes in creating high quality synthetic training data for computer vision algorithms.