Let’s Encrypt has warned that older Android phones won’t support many secure websites after they lose key certificates by September 2021.
This article was published as a part of the Data Science Blogathon.
Introduction
Computer Vision is evolving from the emerging stage and the result is incredibly useful in various applications. It is in our mobile phone cameras which are able to recognize faces. It is available in self-driving cars to recognize traffic signals, signs, and pedestrians. Also, it is in industrial robots to monitor problems and navigating around co-workers.
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Japanese researches control Gundam robot using their mind.
Japanese scientists have created a device that controls a mini toy Gundam robot using the human mind, turning one of the anime’s most exciting technological concepts into reality.
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Another argument for government to bring AI into its quantum computing program is the fact that the United States is a world leader in the development of computer intelligence. Congress is close to passing the AI in Government Act, which would encourage all federal agencies to identify areas where artificial intelligences could be deployed. And government partners like Google are making some amazing strides in AI, even creating a computer intelligence that can easily pass a Turing test over the phone by seeming like a normal human, no matter who it’s talking with. It would probably be relatively easy for Google to merge some of its AI development with its quantum efforts.
The other aspect that makes merging quantum computing with AI so interesting is that the AI could probably help to reduce some of the so-called noise of the quantum results. I’ve always said that the way forward for quantum computing right now is by pairing a quantum machine with a traditional supercomputer. The quantum computer could return results like it always does, with the correct outcome muddled in with a lot of wrong answers, and then humans would program a traditional supercomputer to help eliminate the erroneous results. The problem with that approach is that it’s fairly labor intensive, and you still have the bottleneck of having to run results through a normal computing infrastructure. It would be a lot faster than giving the entire problem to the supercomputer because you are only fact-checking a limited number of results paired down by the quantum machine, but it would still have to work on each of them one at a time.
Continue reading “Will Quantum Computing Supercharge Artificial Intelligence?” »
For those who are excited about 6G. 😃
Electromagnetic waves are characterized by a wavelength and a frequency; the wavelength is the distance a cycle of the wave covers (peak to peak or trough to trough, for example), and the frequency is the number of waves that pass a given point in one second. Cellphones use miniature radios to pick up electromagnetic signals and convert those signals into the sights and sounds on your phone.
4G wireless networks run on millimeter waves on the low- and mid-band spectrum, defined as a frequency of a little less (low-band) and a little more (mid-band) than one gigahertz (or one billion cycles per second). 5G kicked that up several notches by adding even higher frequency millimeter waves of up to 300 gigahertz, or 300 billion cycles per second. Data transmitted at those higher frequencies tends to be information-dense—like video—because they’re much faster.
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Point your phone’s camera at taking a picture and translate it… and the wizard in the app automatically translates the word(s) for you.
An international team of researchers has developed a multifunctional skin-mounted microfluidic device that is able to measure stress in people in multiple ways. In their paper published in Proceedings of the National Academy of Sciences, the group describes their device and how it could be useful.
Prior research has shown that long-term stress can damage a person’s health. It can lead to diabetes, depression, obesity and a host of other problems. Some have suggested that one of the ways to combat stress is to create a means for alerting a person to their heightened stress so that they might take action to reduce it. To that end, prior teams have developed skin-adhesive devices that that collect sweat samples. The tiny samples contain small amounts of cortisol, a hormone that can be used as a marker of stress levels. In this new effort, the researchers have improved on these devices by developing one that measures more than just cortisol levels and is much more comfortable.
The researchers began with the notion that in order to convince people to wear a device full time, it had to be both useful and comfortable. The solved the latter issue by making their device out of soft materials that adhere gently to the skin. They also used a skeletal design for their microfluidic sweat-collection apparatus—a flexible mesh. They also added more functionality. In addition to cortisol, their device is able to measure glucose and vitamin C levels. They also added electrodes underneath that are able to measure sweat rate and electrical conductivity of the skin, both of which change in response to stress. They also added a wireless transmitter that sends all of the data to a nearby smartphone running the device’s associated app.
