查看更多>>摘要：From the background information supplied by the inventors, news correspondents o btained the followingquote: “Many modern day industries are beginning to rely m ore and more on robotic manipulators such asrobotic arms. These robotic manipul ators may function to increase repeatability of tasks, increase efficiencyof pr oduction lines, and bring other benefits to their operators. Conventionally, rob otic manipulators maybe trained to grasp and move items through manual operatio n by human operators. Some training mayalso be performed by ingesting data desc ribing how similar robotic manipulators successfully graspeddifferent items.
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “With the economy developing and the technology advancing, a pool cleaning robot graduallytakes a role in daily life and increa singly grows popular. A transmission device, a significant part of thepool clea ning robot, primarily serves to drive the pool cleaning robot to move.
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“Recent years have seen significant improvements in hardwar e and software platforms for trainingand utilizing machine-learning models. For instance, many deep-learning methods now achieve promisingperformance in a wid e range of computer vision tasks (e.g., processing images and videos utilizing machine-learning models). For example, many conventional systems utilize machine- learning techniques tomodify, edit, merge, touch up, or classify digital videos . While advances have been made in the fieldof computer vision, applying machin e-learning techniques to digital videos is currently resource-intensiveand comp utationally expensive. Further, notwithstanding these advances, conventional sys tems continueto suffer from a number of problems in the field of computer visio n, and in particular, with regard toefficiency and flexibility of digital video processing.”
查看更多>>摘要：From the background information supplied by the inventors, news correspondents o btained the followingquote: “BACKGROUND ART“In recent years, a robot and a worker are proposed to work cooperatively in the same workspace inorder to improve productivity. Therefore, conventionally, tec hnologies for monitoring safety of a robotworking with a robot in the same work space are developed.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from bi orxiv.org:“Protein language models (pLMs) have traditionally been trained in an unsupervis ed manner usinglarge protein sequence databases with an autoregressive or maske d-language modeling training paradigm.Recent methods have attempted to enhance pLMs by integrating additional information, in the form oftext, which are refer red to as \”text+protein\” l anguage models (tpLMs). We evaluate and compare sixtpLMs (OntoProtein, ProteinD T, ProtST, ProteinCLIP, ProTrek, and ESM3) against ESM2, a baselinetext-free pL M, across six downstream tasks designed to assess the learned protein representa tions. Wefind that while tpLMs outperform ESM2 in five out of six benchmarks, n o tpLM was consistently the best.Thus, we additionally investigate the potentia l of embedding fusion, exploring whether the combinationsof tpLM embeddings can improve performance on the benchmarks by exploiting the strengths of multiple tpLMs. We find that combinations of tpLM embeddings outperform single tpLM embedd ings in five out ofsix benchmarks, highlighting its potential as a useful strat egy in the field of machine-learning for proteins.
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