Apple iPad Pro (2022): Specs, Price, Release Date
Two new 4K Apple TVs and a Pencil trick were also unveiled.
Section 230’s Fate Belongs With Congress—Not the US Supreme Court
A case heading to SCOTUS claims platforms should be held responsible for their algorithmic recommendations. A history of the statute suggests otherwise.
Amazon Workers Lose Another Union Vote as Management Digs In
Three warehouses have voted on joining the Amazon Labor Union, but organizers prevailed in only one—and the retail giant’s heavily funded opposition continues.
How to Transfer Your iPhone Photos to a Windows PC
This new iCloud feature makes it super easy to access smartphone pics and videos on your computer—no cords necessary.
5 Best Password Managers (2022): Features, Pricing, and Tips
Keep your logins locked down with our favorite apps for PC, Mac, Android, iPhone, and web browsers.
Artificial intelligence answers the call for quail information
When states want to gauge quail populations, the process can be grueling, time-consuming and expensive. It means spending hours in the field listening for calls. Or leaving a recording device in the field to catch what sounds are made — only to spend hours later listening to that audio. Then, repeating this process until there’s …
Read more “Artificial intelligence answers the call for quail information”
An open-source image database that unlocks the power of AI for ocean exploration
A new collaborative effort between MBARI and other research institutions is leveraging the power of artificial intelligence and machine learning to accelerate efforts to study the ocean.
The vulnerability of transformers-based malware detectors to adversarial attacks
Cyber attackers are coming up with increasingly sophisticated techniques to steal users’ sensitive information, encrypt documents to receive a ransom, or damage computer systems. As a result, computer scientists have been trying to create more effective techniques to detect and prevent cyber attacks.
ECCV 2022
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks
Recent isotropic networks, such as ConvMixer and vision transformers, have found significant success across visual recognition tasks, matching or outperforming non-isotropic convolutional neural networks (CNNs). Isotropic architectures are particularly well-suited to cross-layer weight sharing, an effective neural network compression technique. In this paper, we perform an empirical evaluation on methods for sharing parameters in isotropic …
Read more “SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks”