Swiss-Mile, a Swiss cutting-edge startup, created a robot-transformer that can perform a variety of tasks on it’s own.
Category: robotics/AI – Page 789
During today’s press conference in which Hollywood actors confirmed that they were going on strike, Duncan Crabtree-Ireland, SAG-AFTRA’s chief negotiator, revealed a proposal from Hollywood studios that sounds ripped right out of a Black Mirror episode.
In a statement about the strike, the Alliance of Motion Picture and Television Producers (AMPTP) said that its proposal included “a groundbreaking AI proposal that protects actors’ digital likenesses for SAG-AFTRA members.”
Gero, an AI-driven biotech focused on aging and longevity, has demonstrated the feasibility of applying quantum computing for drug design and generative chemistry, which now offers significant promise for the future of healthcare. The research, published in Scientific Reports, outlines how a hybrid quantum-classical machine-learning model was used to interface between classical and quantum computational devices with the goal of generating novel chemical structures for potential drugs—an industry first.
The research paper follows in the wake of recent advancements from Gero, which sparked vigorous discussion among longevity experts in the scientific community when a story was published in Popular Mechanics that asserted humans can stop—but not fully reverse—aging. Earlier this year, Gero announced a target discovery deal with Pfizer, whereby Gero’s machine-learning technology platform is being applied to discover potential therapeutic targets for fibrotic diseases using large-scale human data.
In this new line of research, the team explored whether a hybrid generative AI system—a deep neural network working in conjunction with commercially available quantum hardware—could suggest unique chemical structures that are synthetically feasible and possess drug-like properties.
We introduce a novel Natural Language Processing (NLP) task called guilt detection, which focuses on detecting guilt in text. We identify guilt as a complex and vital emotion that has not been previously studied in NLP, and we aim to provide a more fine-grained analysis of it. To address the lack of publicly available corpora for guilt detection, we created VIC, a dataset containing 4,622 texts from three existing emotion detection datasets that we binarized into guilt and no-guilt classes. We experimented with traditional machine learning methods using bag-of-words and term frequency-inverse document frequency features, achieving a 72% f1 score with the highest-performing model. Our study provides a first step towards understanding guilt in text and opens the door for future research in this area.
The same AI technology used to mimic human art can now synthesize artificial scientific data, advancing efforts toward fully automated data analysis.
Researchers at the University of Illinois Urbana-Champaign have developed an AI that generates artificial data from microscopy experiments commonly used to characterize atomic-level material structures. Drawing from the technology underlying art generators, the AI allows the researchers to incorporate background noise and experimental imperfections into the generated data, allowing material features to be detected much faster and more efficiently than before.
The study, “Leveraging generative adversarial networks to create realistic scanning transmission electron microscopy images,” was published in the journal npj Computational Materials.
When people say there s no money for advanced AI research, robotics research, energy research, etc… etc… take a close look at who was rollin in money and buyin below items.
“The fraud was so easy to commit. All of the information was self-reported and none of it was verified or checked,” Haywood Talcove of LexisNexis Risk Solutions told The Post.
“During the height of the pandemic, it was really hard to purchase [luxury] items like a Rolls-Royce, or a high-end Mercedes because you had people walking in with cash from the PPP program to purchase those items for whatever the dealer was asking,” Talcove said.
Justice might finally be catching up with some of the fraudsters: A total of 803 arrests have taken place as of May 2023 for pandemic fraud, the SBA said.
To advance our capabilities in protein engineering, MIT CSAIL researchers came up with “FrameDiff,” a computational tool for creating new protein structures beyond what nature has produced. The machine learning approach generates “frames” that align with the inherent properties of protein structures, enabling it to construct novel proteins independently of preexisting designs, facilitating unprecedented protein structures.
“In nature, protein design is a slow-burning process that takes millions of years. Our technique aims to provide an answer to tackling human-made problems that evolve much faster than nature’s pace,” says MIT CSAIL PhD student Jason Yim, a lead author on a new paper about the work. “The aim, with respect to this new capacity of generating synthetic protein structures, opens up a myriad of enhanced capabilities, such as better binders. This means engineering proteins that can attach to other molecules more efficiently and selectively, with widespread implications related to targeted drug delivery and biotechnology, where it could result in the development of better biosensors. It could also have implications for the field of biomedicine and beyond, offering possibilities such as developing more efficient photosynthesis.
Photosynthesis is how plants and some microorganisms use sunlight to synthesize carbohydrates from carbon dioxide and water.
A small soft robot composed of strategically magnetized polymers could one day find its way into human bodies.
VIDEO : The company behind GR-1 plans to release 100 units by the end of 2023 mainly targeting robotic R&D labs. GR-1 will be able to carry patients from the bed to wheelchairs and help pick up objects.