Have you ever spilled your coffee on your desk? You may then have observed one of the most puzzling phenomena of fluid mechanics—the coffee ring effect. This effect has hindered the industrial deployment of functional inks with graphene, 2-D materials, and nanoparticles because it makes printed electronic devices behave irregularly.
Now, after studying this process for years, a team of researchers have created a new family of inks that overcomes this problem, enabling the fabrication of new electronics such as sensors, light detectors, batteries and solar cells.
Coffee rings form because the liquid evaporates quicker at the edges, causing an accumulation of solid particles that results in the characteristic dark ring. Inks behave like coffee—particles in the ink accumulate around the edges creating irregular shapes and uneven surfaces, especially when printing on hard surfaces like silicon wafers or plastics.
Virtual assistants and robots are becoming increasingly sophisticated, interactive and human-like. To fully replicate human communication, however, artificial intelligence (AI) agents should not only be able to determine what users are saying and produce adequate responses, they should also mimic humans in the way they speak.
Researchers at Carnegie Mellon University (CMU) have recently carried out a study aimed at improving how virtual assistants and robots communicate with humans by generating natural gestures to accompany their speech. Their paper, pre-published on arXiv and set to be presented at the European Conference on Computer Vision (ECCV) 2020, introduces Mix-StAGE, a new model that can produce different styles of co-speech gestures that best match the voice of a speaker and what he/she is saying.
“Imagine a situation where you are communicating with a friend in a virtual space through a virtual reality headset,” Chaitanya Ahuja, one of the researchers who carried out the study, told TechXplore. “The headset is only able to hear your voice, but not able to see your hand gestures. The goal of our model is to predict the hand gestures accompanying the speech.”
“For the first time ever, we have direct experimental evidence that an external quantum efficiency above 100% is possible in a single photodiode without any external antireflection,” says Hele Savin, associate professor of Micro and Nanoelectonics at Aalto University in Finland. The results come just a few years after Savin and colleagues at Aalto University demonstrated almost unity efficiency over the wavelength range 250–950 nm in photodiodes made with black silicon, where the silicon surface is nanostructured and coated to suppress losses.
Noticing some curious effects in the UV region, Savin’s group extended their study of the devices to focus on this region of the electromagnetic spectrum. UV sensing has multiple applications, including spectroscopy and imaging, flame detection, water purification and biotechnology. While annual market demand for UV photodiodes is expected to increase to 30%, the efficiency of these devices has been limited to 80% at best. To Savin’s surprise, closer analysis of their device’s response to UV light revealed that the external quantum efficiency could exceed 130%. Independent measurements at Physikalisch Technische Bundesanstalt (PTB) verified the results.
A team of researchers at Stanford University has created an artificial intelligence-based player called the Vid2Player that is capable of generating startlingly realistic tennis matches—featuring real professional players. They have written a paper describing their work and have uploaded it to the arXiv preprint server. They have also uploaded a YouTube video demonstrating their player.
Video game companies have put a lot of time and effort into making their games look realistic, but thus far, have found it tough going when depicting human beings. In this new effort, the researchers have taken a different approach to the task—instead of trying to create human-looking characters from scratch, they use sprites, which are characters based on video of real people. The sprites are then pushed into action by a computer using artificial intelligence to mimic the ways a human being moves while playing tennis. The researchers trained their AI system using video of real tennis professionals performing; the footage also provided imagery for the creation of sprites. The result is an interactive player that depicts real professional tennis players such as Roger Federer, Serena Williams, Novak Jovovich and Rafael Nadal in action. Perhaps most importantly, the simulated gameplay is virtually indistinguishable from a televised tennis match.
The Vid2Player is capable of replaying actual matches, but because it is interactive, a user can change the course of the match as it unfolds. Users can change how a player reacts when a ball comes over the net, for example, or how a player plays in general. They can decide which part of the opposite side of the court to aim for, or whether to hit backhand or forehand. They can also slightly alter the course of a real match by allowing a shot that in reality was out of bounds to land magically inside the line. The system also allows for players from different eras to compete. The AI software adjusts for lighting and clothing (if video is used from multiple matches). Because AI software is used to teach the sprites how to play, the actions of the sprites actually mimic the most likely actions of the real player.
“Playing with GPT-3 feels like seeing the future,” Arram Sabeti, a San Francisco–based developer and artist, tweeted last week. That pretty much sums up the response on social media in the last few days to OpenAI’s latest language-generating AI.
Individual frequency can be used to specifically influence certain areas of the brain and thus the abilities processed in them — solely by electrical stimulation on the scalp, without any surgical intervention. Scientists at the Max Planck Institute for Human Cognitive and Brain Sciences have now demonstrated this for the first time.
Stroke, Parkinson’s disease and depression — these medical illnesses have one thing in common: they are caused by changes in brain functions. For a long time, research has therefore been conducted into ways of influencing individual brain functions without surgery in order to compensate for these conditions.
Scientists at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig have taken a decisive step. They have succeeded in precisely influencing the functioning of a single area of the brain. For a few minutes, they inhibited exactly the area that processes the sense of touch by specifically intervening in its rhythm. As a result, the area that was less networked with other brain regions, its so-called functional connectivity, decreased, and thus also the exchange of information with other brain networks.
NR and NMN are popular ways to try to boost levels of NAD+, but that approach hasn’t worked every time in human studies. One reason for that may involve CD38, which degrades both NR and NMN. With the goal of boosting NAD+ levels during aging, why does CD38 increase with age, and what can be done about it? All that and more in this video!
