A team from the Allen Institute for Artificial Intelligence and the University of Washington this week introduced TLDR generation, a new automatic summarization task for scientific papers. The researchers also provide an associated dataset and propose a multitask learning approach for generating TLDR using pretrained language models. Here is a quick read: AI2 & UW Researchers Propose'TL;DR' Paper Summarization Task The paper TLDR: Extreme Summarization of Scientific Documents is on arXiv.

It's very rare to see any travel video or brochure these days that doesn't have an image shot from overhead, on a drone. Life seems more dramatic up from above, right? The units themselves have gotten way easier to use, more affordable and the camera quality is pretty amazing. Imagine being able to throw a high-quality camera in the air that can get stunning overhead shots, smooth video even in wind and always somehow return home to sender. It's one of the major tech advancements of our time, but it can be a little confusing.

Those of you who work on GANs in PyTorch know that performance evaluation of this kind of models is highly dependent on TensorFlow, at least in the domain of 2D image generation. Efficiency: since these metrics share the same feature extractor (Inception V3), computing all of them together is not much longer than computing just one. Fidelity: discrepancies of the metrics are checked through a number of tests.

"A significant limitation of most soft robots is that they have to be attached to a bulky air compressor or plugged into a wall, which prevents them from moving," said Nathan Usevitch, a graduate student in mechanical engineering at Stanford. "So, we wondered: What if we kept the same amount of air within the robot all the time?" From that starting point, the researchers ended up with a human-scale soft robot that can change its shape, allowing it to grab and handle objects and roll in controllable directions. Their invention is described in a paper published March 18 in Science Robotics. "The casual description of this robot that I give to people is Baymax from the movie Big Hero 6 mixed with Transformers. In other words, a soft, human-safe robot mixed with robots that can dramatically change their shape," said Usevitch.

It won't be long before artificial intelligence is writing and creating films. As impossible as it seems, it won't be long before artificial intelligence is writing and creating films. For example, one AI computer was given hundreds of samples of 17th-century "Old Master" style paintings and was asked to create its own paintings. One of the paintings it came up with is titled "Portrait of Edmond De Belamy" and sold for a whopping $432,500 at a Christie's auction. Thus, AI can write entire stories, create visual images, and create music, and it will not be long before these abilities are combined with entire movies being created by AI, perhaps even emulating existing actors or creating new "stars" for a franchise.

In an endeavour to upskill the youth and promote e-learning during the COVID-19 lockdown, IIT Roorkee had launched an Advanced Certification Course on Deep Learning at Cloudxlab.com. It is an advanced course on deep learning and would cover cutting edge techniques applicable to audio processing, image processing, video processing, self-driving cars etc. This came in the wake of the current economic crisis which underscores the significance of technical skills to tackle the global slowdown. Further to the launch IIT Roorkee and CloudxLab will conduct a webinar on careers in AI and machine learning. The webinar will include faculty members from IIT Roorkee as well as members of the industry.

The basis for using technology to analyze human emotions according to facial cues was inspired by Paul Eckman's research into facial expressions and emotion in the 1960s and 70s. Intrigue and solutions based on the scientific link between emotion and facial expressions has continued ever since Eckman's early published work. Debate and scrutiny are the foundation of scientific inquiry, and scientific conclusions and inferences are built on observation and data. Such is the case with facial coding and Emotion AI technology. Recently, publications like Nature and the Verge have taken a close look at the merits and misconceptions of facial coding and emotion AI.

It won't be long before artificial intelligence is writing and creating films. As impossible as it seems, it won't be long before artificial intelligence is writing and creating films. For example, one AI computer was given hundreds of samples of 17th-century "Old Master" style paintings and was asked to create its own paintings. One of the paintings it came up with is titled "Portrait of Edmond De Belamy" and sold for a whopping $432,500 at a Christie's auction. Thus, AI can write entire stories, create visual images, and create music, and it will not be long before these abilities are combined with entire movies being created by AI, perhaps even emulating existing actors or creating new "stars" for a franchise.

Biosphere 2 was touted as a new Noah's Ark, a new Garden of Eden, a way to test how humans might colonize other worlds and study the effects of greenhouse gasses on Biosphere 1 -- aka the Earth. Eight carefully vetted and uniquely skilled "Biospherians" would enter the gleaming glass and steel vivarium in the desert in Oracle, Ariz., (that's right) in 1991 and spend two years inside the sealed environment with plants and animals, even a coral reef, collected from all over the world and try to sustain themselves with what they could harvest inside. It was a real-life version of the prophetic 1972 science-fiction film "Silent Running" from director Douglas Trumbull ("2001: A Space Odyssey") and co-writers Michael Cimino ("Heaven's Gate") and Steve Bochco (TV's "Hill Street Blues"). But were the "Biospherians" really scientists? Or were they the offshoot of a cult-like group that had started life as a pseudo-theater collective in hippie-era San Francisco led by a "genius" named John Allen, who is described by one enthusiastic at first follower as a "mind musician"?

The "Introduction to Machine Learning" course is built by journalists, for journalists, and it will help answer questions such as: What is machine learning?