Our world is often described as “the digital age,” but in reality, we’re only living in the latest chapter of the electric revolution.
Our world is often described as “the digital age,” but in reality, we’re only living in the latest chapter of the electric revolution.
However, a physics professor at the University of Minnesota Duluth named Vitaly Vanchurin attempted to reframe reality in a particularly eye-opening way in a preprint published on arXiv, arguing that we’re living inside a huge neural network that governs everything around us.
A team of researchers have come up with a machine learning-assisted way to detect the position of shapes including the poses of humans to an astonishing degree — using only WiFi signals.
In a yet-to-be-peer-reviewed paper, first spotted by Vice, researchers at Carnegie Mellon University came up with a deep learning method of mapping the position of multiple human subjects by analyzing the phase and amplitude of WiFi signals, and processing them using computer vision algorithms.
“The results of the study reveal that our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input,” the team concluded in their paper.
Age catches up with us all eventually, but in some people the right genes can make that chase into our twilight years a relatively leisurely one.
A few years ago Italian researchers discovered something special about people who live well into their 90s and beyond: they commonly have a version of a gene called BPIFB4 that protects against cardiovascular damage and keeps the heart in good shape for a longer period of time.
By introducing the mutated gene into older mice, the scientists have now seen how the variant rewinds markers of biological heart aging by the equivalent of more than 10 human years.
Gravitational waves are ripples in the fabric of space. Waves that originated in the early universe could carry important information about the phenomena that occurred there.
Is there any strategy or alliance too complex for its ruthless intelligence? Meta AI made a groundbreaking announcement with the launch of CICERO — the first-ever AI (artificial intelligence) capable of winning at Diplomacy, a multiplayer strategy game that calls for mutual trust, compromise, and teamwork. This marks a significant milestone in AI evolution.
South Korean Go champion Lee Se-dol has retired after being beat by DeepMind’s AlphaGo software. He told Yonhap news agency his decision was influenced by the fact that artificial intelligence (AI) “cannot be defeated.”
An entity that cannot be defeated
“With the debut of AI in Go games, I’ve realized that I’m not at the top even if I become the number one through frantic efforts,” Se-dol told Yonhap. “Even if I become the number one, there is an entity that cannot be defeated.”
Some of the moons hadn’t been spotted yet because they are tiny, measuring less than 1 mile in diameter. Astronomers discovered 12 new moons orbiting Jupiter, meaning the total number of moons we know to be orbiting the gas giant now stands at 92.
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He has never been on a leash and eats only human food. Bobi, aged 30 years and 268 days, was crowned as the world’s oldest living dog by the Guinness World Records last week. Bobi also holds the enviable record of being officially the oldest dog to have lived on the planet.
Bobi, a 30-year-old Rafeiro do Alentejo from Portugal, is now the oldest verified dog ever.
In case you haven’t heard, artificial intelligence is the hot new thing.
If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Methods that are currently considered cutting-edge will have become outdated; methods that today are nascent or on the fringes will be mainstream.
What will the next generation of artificial intelligence look like? Which novel AI approaches will unlock currently unimaginable possibilities in technology and business?