The stock photography company will incorporate AI-generated content into its website using Open-AI’s DALL-E image generator.
Shutterstock recently announced that it will partner with OpenAI to start selling content created using artificial intelligence software.
Igor Kutyaev/iStock.
Text-to-image AI technology.
The company that will work with US Space Force has also won some NASA contracts.
It’s official: robots are here to stay in space. Robotics software and engineering company PickNik Robotics announced on Tuesday that it has won a SpaceWERX contract to work on robotics for the US Space Force, according to a press release acquired by IE
In addition, the company recently won a NASA Small Business Innovation Research (SBIR) Phase I contract for continued work on supervised autonomy for space robotics, as well as a Colorado Advanced Industries Accelerator (AIA) grant for space robotics.
Three wins.
Adobe wants to show the world that AI can do more for designers than generate frightening JPEGs.
AI-powered, generative image search engines, like DALL-E and Stable Diffusion, have stolen the hearts of AI enthusiasts since their release. Some even warned this may be the death of Photoshop, Adobe’s signature imaging software.
But after viewing Adobe’s latest innovations at the MAX Conference in Los Angeles this week, the company is taking a different approach with AI.
The just-issued World Robotics Report announced an all-time high of 517,385 new industrial robots installed in 2021 in factories around the world, representing 31% year-on-year growth. That brought the current stock of operational robots around the globe to about 3.5 million, a new record.
This robot record was reached half a century after the development of SHAKEY, the world’s first “mobile intelligent robot.” According to the 2017 IEEE Milestone citation, it “could perceive its surroundings, infer implicit facts from explicit ones, create plans, recover from errors in plan execution, and communicate using ordinary English.
The robot that was going to start the Third Industrial Revolution.
Dr. Peter Fedichev, Ph.D. is the CEO of Gero (https://gero.ai/), a biotech company focused on hacking complex diseases, including aging, with AI for novel drug discovery, as well as digital biomarkers.
Gero’s models originate from the physics of complex dynamic systems, combining the potential of deep neural networks with the physical models to study dynamical processes and understand what drives diseases.
Dr. Fedichev has a background in biophysics, bioinformatics and condensed matter physics, earning his Ph.D. from the University of Amsterdam, and he conducted research at FOM Institute AMOLF (part of the institutes organization of the Dutch Research Council of Netherlands) and the University of Innsbruck.
To date, Dr Fedichev has published over 70 papers covering his research on physics, biophysics and aging biology.
Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron, aims to collect some of the most relevant recent discoveries and papers — particularly in, but not limited to, artificial intelligence — and explain why they matter.
Over the past few weeks, researchers at MIT have detailed their work on a system to track the progression of Parkinson’s patients by continuously monitoring their gait speed. Elsewhere, Whale Safe, a project spearheaded by the Benioff Ocean Science Laboratory and partners, launched buoys equipped with AI-powered sensors in an experiment to prevent ships from striking whales. Other aspects of ecology and academics also saw advances powered by machine learning.
The MIT Parkinson’s-tracking effort aims to help clinicians overcome challenges in treating the estimated 10 million people afflicted by the disease globally. Typically, Parkinson’s patients’ motor skills and cognitive functions are evaluated during clinical visits, but these can be skewed by outside factors like tiredness. Add to that fact that commuting to an office is too overwhelming a prospect for many patients, and their situation grows starker.
Turns out, dehydrated passion fruits exhibit a type of symmetry not previously known, inspiring self-adapting robots that could one day ‘grasp’ space junk.
A previously unknown type of wrinkling pattern on the surface of dehydrated passion fruits inspired the invention of a device that could be used to clean up space debris and hazardous materials, according to South Morning China Post (SMCP)
The real-life application comes after Fan Xu, Xi-Qiao Feng and colleagues at Fudan University in Shanghai reported an unknown type of chiral wrinkling pattern on the surface of dehydrated passion fruits in their study published in the journal Nature Computational Science the same day. previously unknown type of wrinkling pattern on the surface of dehydrated passion fruits inspired the invention of a device that could be used to clean up space debris and hazardous materials, according to South Morning China Post (SMCP).
The artificial intelligence software speeds up the process of taking scans.
Philips received clearance from the FDA for its artificial intelligence MR platform that is used to detect cancerous tumors in the head and neck.
FDA clearance for AI technology
The company announced that the FDA gave clearance for Philip’s AI-enabled MRCAT radiotherapy. The clearance, also known as the 510(k) clearance, requires device manufacturers to register, and notify FDA of their intent to market a medical device at least 90 days in advance.
Insider obtained documents that reveal the topics, goals and challenges discussed. Together, they show Amazon’s ambition to take on Google’s DeepMind, a pioneer in AI-powered scientific discovery. This could take Amazon from dabbling in healthcare services, and turn it into a potentially serious player in the future of medicine.
“The demarcation line between core Amazon/AWS business and life science and healthcare is shifting,” said Amazon scientist and senior solutions architect Sergey Menis, according to a transcript of his comments seen by Insider. “We are increasingly more specialized in healthcare and life sciences.” An Amazon spokesperson declined to comment.
Menis developed a nanoparticle that underpins a promising HIV vaccine candidate. He was joined at last week’s Amazon Machine Learning Conference by Amazon’s chief medical officer Taha Kass-Hout.
