This new reality promises robotic dogs to enforce social distancing and publicly owned flying taxis to provide transportation since private vehicles are only available to the rich. The technology is currently being rolled out in other western nations, including Canada.
On a hard disk somewhere in the surveillance archives of Singapore’s Changi prison is a video of Jolovan Wham, naked, alone, performing Hamlet.
GauGAN2, a new AI-powered tool from Nvidia, can translate text prompts into high-quality landscape images.
Posted in augmented reality, genetics, internet, quantum physics, robotics/AI, virtual reality | Leave a Comment on New device modulates visible light —without dimming it —with the smallest footprint and lowest power consumption
Over the past several decades, researchers have moved from using electric currents to manipulating light waves in the near-infrared range for telecommunications applications such as high-speed 5G networks, biosensors on a chip, and driverless cars. This research area, known as integrated photonics, is fast evolving and investigators are now exploring the shorter—visible—wavelength range to develop a broad variety of emerging applications. These include chip-scale LIDAR (light detection and ranging), AR/VR/MR (augmented/virtual/mixed reality) goggles, holographic displays, quantum information processing chips, and implantable optogenetic probes in the brain.
The one device critical to all these applications in the visible range is an optical phase modulator, which controls the phase of a light wave, similar to how the phase of radio waves is modulated in wireless computer networks. With a phase modulator, researchers can build an on-chip optical switch that channels light into different waveguide ports. With a large network of these optical switches, researchers could create sophisticated integrated optical systems that could control light propagating on a tiny chip or light emission from the chip.
But phase modulators in the visible range are very hard to make: there are no materials that are transparent enough in the visible spectrum while also providing large tunability, either through thermo-optical or electro-optical effects. Currently, the two most suitable materials are silicon nitride and lithium niobate. While both are highly transparent in the visible range, neither one provides very much tunability. Visible-spectrum phase modulators based on these materials are thus not only large but also power-hungry: the length of individual waveguide-based modulators ranges from hundreds of microns to several mm and a single modulator consumes tens of mW for phase tuning. Researchers trying to achieve large-scale integration—embedding thousands of devices on a single microchip—have, up to now, been stymied by these bulky, energy-consuming devices.
NVIDIA’s GauGAN2 artificial intelligence (AI) can now use simple written phrases to generate a fitting photorealistic image. The deep-learning model is able to craft different scenes in just three or four words.
GauGAN is NVIDIA’s AI program that was used to turn simple doodles into photorealistic masterpieces in 2019, a technology that was eventually turned into the NVIDIA Canvas app earlier this year. Now NVIDIA has advanced the AI even further to where it only needs a brief description in order to generate a “photo.”
Is the “good book” getting an upgrade? Join us… and find out more!
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Ever feel like you could do with a little guidance? A push in the right direction? Over the past couple thousand years or so, humans have often turned to religious texts to help get them through life’s trickier moments… but is science and technology now triggering a major paradigm shift? In this video, Unveiled takes a closer look at the reasons why we might soon… need a new Bible!
This is Unveiled, giving you incredible answers to extraordinary questions!
Find more amazing videos for your curiosity here:
What If Humans Achieved Final Form? — https://youtu.be/IdkizHIIlj8
What If Humanity is the Last Civilization in the Universe? — https://youtu.be/jZ4xGtkWx_E
0:00 Start.
0:38 The New Bible.
3:29 New Technology.
5:25 Tech in Religion.
7:01 Conclusions.
For the last decade and more, Stem Cell research and regenerative medicine have been the rave of the healthcare industry, a delicate area that has seen steady advancements over the last few years.
The promise of regenerative medicine is simple but profound that one day medical experts will be able to diagnose a problem, remove some of our body cells called stem cells and use them to grow a cure for our ailment. Using our body cells will create a highly personalized therapy attuned to our genes and systems.
The terminologies often used in this field of medicine can get a bit fuzzy for the uninitiated, so in this article, I have relied heavily on the insights of Christian Drapeau, a neurophysiologist and stem cell expert.
For people with depression, finding a suitable antidepressant medication can be difficult and involve a lot of trial and error before finding one that works for them. Now a new study led by scientists at UT Southwestern has come up with a new imaging technique which the researchers claim will allow them to predict a person’s response to different types of antidepressant medication without sometimes having to spend months trying to find one that works.
The research first looked at the common antidepressant drug sertraline, one of a class of drugs called selective serotonin reuptake inhibitors (SSRIs), comparing people taking the drug to those taking a placebo. Before they started the medication, participants had their brains scanned in an MRI machine, both while they were resting and performing a reward task. This was repeated again after they had been on the drug or placebo for 8 weeks as well as measuring how their depression had changed, if at all. People who had not responded to sertraline after this time were switched to another antidepressant called bupropion and underwent the MRI tests and evaluation of their depression symptoms again after 8 weeks.
With this data from over 300 people, the researchers used machine learning techniques to map which brain regions and circuits where associated with a response to each drug, allowing them to predict how other people might respond in the future.
The design is a cubic frame on six mechanical legs that looks like it emerged from futuristic sci-fi movies. The mobile home is able to traverse on almost any terrain including steep hills and mountain gorges with its mechanical legs that are enhanced with 2 inches (5 cm) of non-slippery rubber layers and two deployable spikes on the bottom of each piece for easy bolting on the ground.
The mobile home can lay its foundation while remaining uplifted from the ground, descending, or sitting on the ground.
The mobile home’s interior design comes with high-tech elements inspired by a futuristic architectural perspective. The windows of the mobile home are equipped with smart glass technology that can block sunlight when needed. Enchev also used automated furniture and smart technological gadgets in his design. With its integrated storage space, water tanks, and power cells, the mobile home enables its residents to live off-grid comfortably.
Miso Robotics’ Flippy 2 Robot promises to be the first household robot that any person or small buisness could buy to help prepare and make food inside of a kitchen without any big changes having to be made. This looks like it could be the first glimpse into a future in which robots help us inside of our homes.
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Daily Futurology News: https://futurology.id.
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TIMESTAMPS:
00:00 Finally a real Robot Assistant.
01:34 Their new & improved Robot (Flippy 2)
03:52 Are Household Robots the future?
06:59 When can we expect our own Robots?
09:06 Last Words.
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#robotics #future #ai
