Segway is using robots to fight crime 🤖👮😮.
Category: robotics/AI – Page 2,250
NASA-awarded ‘marsha’, a 3D-printed vertical martian habitat
3D printing refers to various processes used to manufacture three dimensional objects in successive layers of material formed under computer control.
NASA-awarded ‘marsha’, a 3D-printed vertical Martian habitat by AI spacefactory.
Drilling deep to the Mars Lake
Honeybee Robotics has been working on a Planetary Deep drill. It has been tested to a depth of about 100 feet (30 meters). The plan has to been to have the lightweight system reach kilometers of depth. This would be able to reach the liquid Lake on Mars.
The Planetary Deep Drill is a wire-line drill designed to reach miles below extraterrestrial surfaces. The lightweight drill meets the payload and excavation requirements required to reach far below the icy surface formations of Mars, Enceladus or Europa.
The drill is four meters tall (13 feet) and has a a diameter of 6.4 centimeters (2.5 inches). The Planetary Deep Drill also features motors, electronics and sensors to operate its tungsten carbide tip pounds into ice and rock at over 250 revolutions per minute.
Big Tech is Throwing Money and Talent at Home Robots
That may be about to change. Behind the scenes, big tech companies are funding secret projects to develop robots. Amazon.com Inc. has been working on a robot version of its Echo voice-activated speaker for a while now and this year began throwing more money and people at the effort. Alphabet Inc. is also working on robots, and smartphone maker Huawei Technologies Inc. is building a model for the Chinese market that will teach kids to speak English.
Alphabet and Huawei join Amazon in the race to build androids, the first of which could debut by 2020.
Developing Brain Atlas through Deep Learning
https://arxiv.org/ftp/arxiv/papers/1807/1807.03440.pdf
Developing brain atlas using deep learning algorithms
https://techxplore.com/news/2018-07-brain-atlas-deep-algorithms.html
Tiny robot could be game-changer in fight against tuberculosis
Robots like this, nanobots that can work in the body, should be the main focus for curing all disease. And instead of focusing on Drug Delivery, have the nanobots just go in and attack or fix the problem themselves.
A Brock University research team has created a microscopic robot that has the potential to identify drug resistance to tuberculosis faster than conventional tests.
The World Health Organization (WHO) calls tuberculosis drug resistance “a formidable obstacle” to treatment and prevention of a disease that killed 240,000 people in 2016.
The Brock team’s latest technology builds on an earlier version of the microscopic robot—called the three-dimensional DNA nanomachine—they created in 2016 to detect diseases in a blood sample within 30 minutes.
DNA Computing Gets a Boost With This Machine Learning Hack
As the master code of life, DNA can do a lot of things. Inheritance. Gene therapy. Wipe out an entire species. Solve logic problems. Recognize your sloppy handwriting.
Wait, What?
In a brilliant study published in Nature, a team from Caltech cleverly hacked the properties of DNA, essentially turning it into a molecular artificial neural network.
Choose Your Own Story
Which future are you going to pick?
Today, I would like to tell you two short stories describing what your far future might look like, depending on the choices that you though not only you will make in the near future. Feel free to leave a comment to let others know which one you’d rather have as your real future.
Story 1: A day in 2140
The blinds in your bedroom slowly whirr open, as a gentle melody gradually fills the environment. Ferdinand your AI assistant, to whom you decided to give a far less extravagant name than most other people do informs you that it’s 7:30, your bath is ready, and so will be your usual breakfast once you’re done in the bathroom. Getting up that early is never too easy, but your morning walk in the park is always worth it, because it puts you in a good mood.
Artificial intelligence saves water for water users associations
Agriculture uses 70 percent of the water in the world, and this appears to be an upward trend regarding water needs. As the demand in other industry sectors is also increasing, and the effects of climate change exacerbate water shortages, water saving measures have become an unavoidable challenge for maintaining the sector and preserving life.
Agronomy researcher Rafael González has developed a model to predict in advance the water that users will need each day. This tool came about from a drive to ally with water resource sustainability.
The model applies artificial intelligence techniques including fuzzy logic, a system used to explain the behavior of decision making. It also mixes variables that are easier to measure, like agroclimatic ones or the size of the plot of land to be watered, with other more complicated variables, like traditional methods in the area and holidays during watering season.