In the News
AI Trained on 4Chan Becomes ‘Hate Speech Machine’
AI researcher and YouTuber Yannic Kilcher trained an AI using 3.3 million threads from 4chan’s infamously toxic Politically Incorrect /pol/ board. After 24 hours, the nine bots running on 4chan had posted 15,000 times.
Sponsor
The World's Leading AI Conference | October 19th-21st
TransformX is back, with a 3 day virtual and in-person conference featuring 120 speakers and 80 sessions. We’re bringing together 20,000+ of the world’s brightest AI leaders, visionaries, practitioners, and researchers across industries as we explore operationalizing AI and Machine Learning.
In The News
Artificial General Intelligence Is Not as Imminent as You Might Think
In this op-ed, Guy Marcus argues that Machines may someday be as smart as people, and perhaps even smarter, but the game is far from over. There is still an immense amount of work to be done in making machines that truly can comprehend and reason about the world around them. What we really need right now is less posturing and more basic research.
Why it’s time for “data-centric artificial intelligence”
Ng advocates for “data-centric AI,” which he describes as “the discipline of systematically engineering the data needed to build a successful AI system.” AI systems need both code and data, and “all that progress in algorithms means it's actually time to spend more time on the data.”
11 Best Natural Language Processing Courses Online in 2022
In this article, you will find the 11 Best Natural Language Processing Courses Online.
Applied use cases
How Artificial Intelligence Can Help Detect Wildfires
In 2021, there were 58,968 wildfires that burned 7.1 million acres. In an era of advanced technologies such as artificial intelligence (AI), big data, analytics and cloud computing, is there a way to combat wildfires? Yes, here’s how AI can help.
Is technology spying on you? New AI could prevent eavesdropping
A new technology, called Neural Voice Camouflage, now offers a defense. It generates custom audio noise in the background as you talk, confusing the artificial intelligence (AI) that transcribes our recorded voices.
Gantry launches out of stealth to help data scientists keep AI models fresh
The demand for AI in the enterprise is insatiable, but the challenge lies in building the support infrastructure and its development and maintenance.
Ethics
DAIR Institute : AI Ethics Are in Danger
In this piece, 2 researchers working for the DAIR Institute (founded by Timnit Gebru), state that it is crucial to invest more in building organizations that are free from corporate profit motives. It will enable technology to truly work in the public interest.
Writing the Code of AI Ethics
Explore a conversation between two tech leaders (Nidhi Srivastava and Madeleine Elish) on how to ensure that the AI revolution transforms business for the benefit of humanity.
AI standards essential to protect doctor-patient relationships and human rights
According to a Council of Europe report, clear ethical standards and guidance must be in place to protect the relationship of trust between doctors and patients and to safeguard human rights.
Robotics
Optimization-Based Motion Generation for Buzzwire Tasks With the REEM-C Humanoid Robot
In this work, we consider the scenario where we control one arm of the REEM-C humanoid robot, with other joints fixed, as groundwork for eventual full-body control. In pursuit of this, we contribute by designing an optimal control problem that generates trajectories to solve the buzzwire in a time optimized manner.
Why Robots Need to See
The autonomous vehicle and robotics sectors often employ LiDAR as the primary system navigation sensor. But cameras and vision-based perception will increasingly serve as the technological underpinning for mobile robots going forward.
After a few years apart, IEEE #ICRA2022 reunited the robotics community again
The 39th edition of the IEEE International Conference on Robotics and Automation (ICRA) took place at the Pennsylvania Convention Center in Philadelphia (USA) and online May 23-27.
Research
Six Dimensions of Operational Adequacy in AGI Projects
Requisite resource levels: The project must have adequate resources to compete at the frontier of AGI development, including whatever mix of computational resources, intellectual labor, and closed insights are required to produce a 1+ year lead over less cautious competing projects. Relative to the...
Learning Soccer Juggling Skills with Layer-wise Mixture-of-Experts
We introduce a method for learning physics-based soccer juggling skills via deep reinforcement learning. Innovations include a layer-wise mixture-of-experts neural network policy for efficient learning, a control graph for authoring the many skills and their transitions, and an adaptive random walk curriculum on the control graph.
Hopular: Modern Hopfield Networks for Tabular Data
Recently, we saw a surge of Deep Learning methods that were tailored to tabular data but still underperformed compared to Gradient Boosting on small-sized datasets. We suggest "Hopular", a novel Deep Learning architecture for medium- and small-sized datasets, where each layer is equipped with continuous modern Hopfield networks.