Daily Archives: May 11, 2021
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO
By supporting multi-modal retrieval training and evaluation, image captioning datasets have spurred remarkable progress on representation learning.Unfortunately, datasets have limited cross-modal associations: images are not paired with other images, captions are only paired with other captions of the same image, there are no negative associations and there are missing positive cross-modal associations. This undermines research into how inter-modality learning impacts intra-modality tasks. We address this gap with Crisscrossed Captions (CxC), an extension of the MS-COCO dataset with human semantic similarity judgments for267,095intra- and inter-modality pairs. We report baseline results on CxC for strong existing unimodal and multi-modal models. We also evaluate a multitask dual encoder trained on both image-caption and caption-caption pairs that crucially demonstrates CxC’s value for measuring the influence of intra- and inter-modality learning. Read More
The Edge: What Does It Mean For Artificial Intelligence?
The edge is an end point where data is generated through some type of interface, device or sensor. Keep in mind that the technology is nothing new. But in light of the rapid innovations in a myriad of categories, the edge has become a major growth business.
“The edge brings the intelligence as close as possible to the data source and the point of action,” said Teresa Tung, who is the Managing Director at Accenture Labs. “This is important because while centralized cloud computing makes it easier and cheaper to process data at scale, there are times when it doesn’t make sense to send data off to the cloud for processing.” Read More
Thousands of Tor exit nodes attacked cryptocurrency users over the past year
For more than 16 months, a threat actor has been seen adding malicious servers to the Tor network in order to intercept traffic and perform SSL stripping attacks on users accessing cryptocurrency-related sites.
The attacks, which began in January 2020, consisted of adding servers to the Tor network and marking them as “exit relays,” which are the servers through which traffic leaves the Tor network to re-enter the public internet after being anonymized. Read More
The Department of Defense’s Looming AI Winter
The Department of Defense is on a full-tilt sugar high about the potential for AI to secure America’s competitive edge over potential adversaries. AI does hold exciting possibilities. But an artificial AI winter looms for the department, potentially restraining it from joining the rest of the world in the embrace of an AI spring.
The department’s frenzy for AI is distracting it from underlying issues preventing operationalization of AI at scale. When these efforts fail to meet expectations, the sugar rush will collapse into despair. The resultant feedback loop will deprioritize and defund AI as a critical weapon system. This is known as an “AI winter,” and the Department of Defense has been here twice before. If it happens again, it won’t be because the technology wasn’t ready, but because the Department of Defense doesn’t know enough about AI, has allowed a bureaucracy to grow up between the people who will use AI and those developing it for them, and is trying to tack “AI-ready” components onto legacy systems on the cheap. Read More
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