- “I think in the next 30 years, people will only work four hours a day and maybe four days a week,” Ma said Tuesday during a CNBC interview at the Gateway ’17 Conference.
- We work eight hours, five days a week and think we are very busy.”
- The Chinese billionaire also addressed the rise of artificial intelligence, advocating that machines shouldn’t be made to replicate human behavior.
- “I don’t think we should make machines like humans,” Ma said.
- “The third technology revolution may cause the Third World War,” Ma told CNBC.
Alibaba founder Jack Ma thinks artificial intelligence will revolutionize the work week, and make it shorter for humans
Continue reading “Jack Ma: Artificial Intelligence Will Bring a Four-Day Week”
- “Once Shimon learns the four measures we provide, it creates its own sequence of concepts and composes its own piece,” said Bretan, who will receive his doctorate in music technology this summer at Georgia Tech.
- “Shimon’s compositions represent how music sounds and looks when a robot uses deep neural networks to learn everything it knows about music from millions of human-made segments.”
- Bretan says this is the first time a robot has used deep learning to create music.
- Shimon was created by Bretan’s advisor, Gil Weinberg, director of Georgia Tech’s Center for Music Technology.
- In the first piece, Bretan fed Shimon a melody comprised of eighth notes.
Shimon, a four-armed, marimba playing robot, is writing and playing its own music using deep learning. This is the first of its two songs.
Continue reading “Robot Uses Deep Learning and Big Data to Write and Play its Own Music”
- They surveyed the world’s leading researchers in artificial intelligence by asking them when they think intelligent machines will better humans in a wide range of tasks.
- And many of the answers are something of a experts that Grace and co coopted were academics and industry experts who gave papers at the International Conference on Machine Learning in July 2015 and the Neural Information Processing Systems conference in December 2015.
- These are two of the most important events for experts in artificial intelligence, so it’s a good bet that many of the world’s experts were on this list.Grace and co asked them all—1,634 of them—to fill in a survey about when artificial intelligence would be better and cheaper than humans at a variety of tasks.
- Grave and co then calculated their median responsesThe experts predict that AI will outperform humans in the next 10 years in tasks such as translating languages (by 2024), writing high school essays (by 2026), and driving trucks (by 2027).
- It’s easy to think that this gives the lie to these predictions.The experts go on to predict a 50 percent chance that AI will be better than humans at more or less everything in about 45 years.That’s the kind of prediction that needs to be taken with a pinch of salt.
Trucking will be computerized long before surgery, computer scientists say.
Continue reading “Experts Predict When Artificial Intelligence Will Exceed Human Performance”
- Just like humans identify whether or not there is a problem with the car by hearing odd sounds coming from the engine or by hearing creaking sounds, cars can identify as well.
- Their software can give cars the ability to diagnose problems themselves by simply hearing anomalous sounds coming from the car and/or the environment.
- They are testing the tech by providing it with many sounds that come from their cars.
- This can be a huge boost as one of the important factors of customer dissatisfaction is odd noises coming from a car and not being able to locate the problem.
- Other than diagnosing problems, this tech can also be used to help cars in perceiving their environment.
Intelligent machines are not only trying to learn and act like humans, they are beginning to sense their environment like them as well. Latest among them are cars that are getting a sense of hearing that would allow them to enhance their intelligence level by perceiving their environment like humans do.
Continue reading “Cars are learning to hear like humans and self-diagnose problems”
- Back in November, Google released artificial intelligence experiment that asks you to draw a random object and see if the neural network can identify your doodle.
- was eventually turned into a tool that transformed drawings into clip art based on the best results it got, helping people add a visual icon to their work without requiring any particular artistic talent.
- I wasn’t very confident in my frog (croak) so I felt that adding “Ribbit” to the drawing might provide context, even if the AI might not be able to read.
- Face is a neat one too — I’d guess that depending on the artist, most of these drawings were interpreted as a self portrait.
- While you can argue that most people see frog in mostly the same way, dragon produced a variety of results — from fire-breathing to horned.
Back in November, Google released artificial intelligence experiment that asks you to draw a random object and see if the neural network can identify your doodle. Quick, Draw! was eventually turned…
Continue reading “Google made a site that shows how millions of people draw the same object”
- Telsa and SpaceX founder Elon Musk has a suggestion for humans who want to stay relevant in a future of artificial intelligence: merge with the machines.
- “Over time I think we will probably see a closer merger of biological intelligence and digital intelligence,” Musk said at the World Government Summit in Dubai, according to CNBC.
- “It’s mostly about bandwidth, the speed of the connection between your brain and the digital version of yourself, particularly output.”
- Humans are significantly slower than computers when it comes to communication, and face becoming useless as AI grows more prominent, Musk said.
- “Some high bandwidth interface to the brain will be something that helps achieve a symbiosis between human and machine intelligence and maybe solves the control problem and the usefulness problem,” he said.
Elon Musk has a suggestion for humans who want to stay relevant in a future of artificial intelligence: merge with the machines
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- Finally have enough time to attend, read, post, listen, watch and speak on anything I want to.
- Collaborative AI is learning from shared experience – collective intelligence is and it’s terrifying
- Our brains are networks the most complex networks we know of, and artificial intelligence uses that same (or similar) networked power to interact with our brains.
- 6. Brains can’t upload and download Brains can’t upload and download.
- Learning; deep learning, fast learning and machine learning is progressing fast and promises to deliver an alternative world of learnt skills on an unimaginable scale.
Continue reading “Donald Clark Plan B”