In the News
Earlier this year, Google artificial intelligence researcher Timnit Gebru sent a Twitter message to University of Washington professor Emily Bender.
One of the studies cited, showing evidence of bias in language AI, was published by Google researchers earlier this year.
Orca’s combination of SaaS delivery, SideScanning technology, and access to cloud configuration APIs provides security visibility and context into different aspects of cloud security with less friction than agent-based approaches.
In The News
Fourth and last in a series that taps the expertise of the Harvard community to examine the promise and potential pitfalls of the rising age of artificial intelligence and machine learning, and how to humanize them.
In October, a group led by Benjamin Haibe-Kains, a computational genomics researcher, criticized the Google health paper, arguing that the “lack of details of the methods and algorithm code undermines its scientific value.”
Marcus, known in AI circles among other things for his critique on deep learning, recently published a 60-page long paper titled “The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence.”
Applied use cases
First introduced by Google in 2017, Transformers — a new type of deep learning model — have helped revolutionize natural language processing.
Increasingly, enormous models with huge training costs are dominating the cutting edge of A.I.
While still in its early days, precision medicine—spanning personalized vaccines and antibodies, personalized treatment relying on virology and microbe research, personalized cancer treatments, and treatments involving in vivo gene editing—is also starting to become a reality.
Traditionally, this means you would have to spend more time learning C++ and rewriting it in the other framework than you spend actually building a model to solve the problem.
“We try not to refer to them as robot dogs,” said Jiren Parikh, the president and chief executive of a Philadelphia-based company called Ghost Robotics.
This scene, exactly as described, was a demonstration carried out by Ghost Robotics earlier this year at an Air Force base.
Interestingly, I’m noticing a transition from a default male style of robot (think of all the small humanoid fighting, dancing and soccer playing robots) to a default female style of robot as the service robotics industry starts to grow.
At first, its take on things may seem familiar: Don a headset which places a sensor on the back of your head, and it’ll detect your brainwaves which can then be translated into digital actions.
But the diverse and creative demo applications I experienced do hold a lot of promise.
We need a radical reframing away from the lone researcher against Goliath, to reckon with the failure of the Fairness, Accountability, Transparency and broader ethics frameworks that have allowed opportunists to build their brand, taking up the space required to address the core issues of Big Tech’s…
Hundreds of Google staff have signed a letter backing a leading AI ethics researcher who was sacked by Google.
Following the meeting, she sent an email to an internal group called “Brain Women and Allies”, criticising the decision.
This list was curated by the Women in AI Ethics™ Collective and recognizes brilliant women and non-binary people who have made exceptional contributions to the space of AI Ethics and diversity.
One of the most challenging problems in modern AI research is understanding the learned algorithms that arise from training machine learning systems.
JAX is a Python library designed for high-performance numerical computing, especially machine learning research.
Research Position in Bayesian Deep Learning Artificial Intelligence Group Fujitsu Laboratories of Europe Limited Hayes, Uxbridge – Middlesex Fujitsu Laboratories of Europe (FLE) is a multidisciplinary centre which, as part of Fujitsu’s global R&D activity, conducts research and development in …