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STREET PAVING: A 'Tiger-Stone' paved a road in IJmuiden, Netherlands, Tuesday. The Dutch-made machine uses gravity and an electric motor to lay stone and brick roads and is capable of laying 300 square meters (about 360 square yards) of road a day.
Pocket-sized xray machine will be here before you know it...identify materials in an instant like a Star Trek tricorder. Best part: my son works for this company! Watch the video, he's on the left in the first shot of the lab.
High-tech sizing machines scan customers and offer a list of recommended clothing, eliminating returns and providing manufacturers with real-world data
According to scientists, humanity has begun its next major shift: we are now entering the "Hybrid Age". Across the entire range of scientific and technological disciplines changes are occurring that were unimaginable a few decades ago.
Could empathy in society be enhanced by technology? Could machines sense our emotions better than our friends and family can and broadcast that data to them?
ata poisoning techniques to essentially disturb pixels within an image to create invisible noise, effectively making AI art generators incapable of generating realistic deepfakes based on the photos they’re fed.
Higher resolution images work even better, he said, since they include more pixels that can be minutely disturbed.
Google is creating its own AI image generator called Imagen, though few people have been able to put their system through its paces. The company is also working on a generative AI video system.
Salman said he could imagine a future where companies, even the ones who generate the AI models, could certify that uploaded images are immunized against AI models. Of course, that isn’t much good news for the millions of images already uploaded to the open source library like LAION, but it could potentially make a difference for any image uploaded in the future.
there are some AI systems that can detect deepfake videos, and there are ways to train people to detect the small inconsistencies that show a video is being faked. The question is: will there come a time when neither human nor machine can discern if a photo or video has been manipulated?
Back in September, OpenAI announced users could once again upload human faces to their system, but claimed they had built in ways to stop users from showing faces in violent or sexual contexts. It also asked users not to upload images of people without their consent
Noah asked Murati if there was a way to make sure AI programs don’t lead us to a world “where nothing is real, and everything that’s real, isn’t?”
we’ve realised that artificial intelligences (AIs), particularly a form of machine learning called neural networks, which learn from data without having to be fed explicit instructions, are themselves fallible.
The second is that humans turn out to be deeply uncomfortable with theory-free science.
there may still be plenty of theory of the traditional kind – that is, graspable by humans – that usefully explains much but has yet to be uncovered.
The theories that make sense when you have huge amounts of data look quite different from those that make sense when you have small amounts
The bigger the dataset, the more inconsistencies the AI learns. The end result is not a theory in the traditional sense of a precise claim about how people make decisions, but a set of claims that is subject to certain constraints.
theory-free predictive engines embodied by Facebook or AlphaFold.
“Explainable AI”, which addresses how to bridge the interpretability gap, has become a hot topic. But that gap is only set to widen and we might instead be faced with a trade-off: how much predictability are we willing to give up for interpretability?
Even the most bullish proponents of quantum computing say we’ll have to wait a while until the machines are powerful enough to crack encryption keys, and many doubt it will happen this decade — if at all.