ProMat 2023 robotics recap


Editors from The Robot Report attended the 2023 ProMat event in Chicago. In episode 109 of The Robot Report Podcast, co-hosts Steve Crowe and Mike Oitzman discuss the news and stories from the event. Also in this week’s episode, Mike highlights news related to the future of AI and Robotics from the recent Nvidia GTC event.

ProMat 2023 Review

New Robotics companies at the show included:

  • Mushiny
  • Multiway Robotics
  • Quiktron
  • SEER
  • Tuskrobots
  • Slip Robotics
  • Pickle Robots

The most interesting Robotics solutions at the show:

For a complete summary of our editor’s picks for Robotics at ProMat 2023, check out this story.


Robotics Summit & Expo (May 10-11) returns to Boston


NVIDIA news this week:

  • Omniverse Cloud for enterprises is now available as a platform as a service (PaaS) for compute-intensive workloads like synthetic data generation.
  • Issac ROS DP3 release adds new perception capabilities and open-source modules
  • New LIDAR-based grid localizer package
  • New people detection support in the NVBLOX package
  • GPU-accelerated 3D reconstruction for collision avoidance
  • Updated VSLAM and depth perception GEM
  • Source release of NITROS, NVIDIAs ROS 2 hardware acceleration implementation
  • New Isaac ROS benchmark suite built
  • The Robot Report story on Nvidia GTC
  • NOTEWORTHY: Fireside chat between Jenson and Ilya Sutskever, Co-founder and Chief Scientist, OpenAI (Nvidia GTC site)

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Jabil to provide manufacturing services for Sarcos


Sarcos Technology and Robotics Corporation (Sarcos), a company working to design, develop and manufacture advanced robotic systems that redefine human possibilities, is collaborating with Jabil Inc., a manufacturing solutions provider, to expand Sarcos’ production capacity for its robotic systems and sub-systems.

Under the terms of the agreement, Sarcos will utilize Jabil’s broad manufacturing services to produce a variety of leading-edge robotic systems and sub-systems. The company also will be able to leverage Jabil’s global footprint, strategic supplier relationships, and state-of-the-art manufacturing facilities to accelerate volume production while benefiting from advanced supply chain, procurement, and component-sourcing solutions.

“We expect that our relationship with Jabil will advance Sarcos’ manufacturing capabilities tremendously, helping to augment our overall production capacity and enabling us to scale much faster than we could without their support,” Kiva Allgood, president and CEO of the company, said. “We are excited to work with a proven manufacturing services leader that has a long-standing record of success and an established global network of vendors and partners as we begin delivering our robotic systems to our customers.”

Sarcos expects to increase the production of its commercial Robotics technologies throughout 2023, with manufacturing and assembly occurring at a combination of the company’s facilities in Salt Lake City and Pittsburgh, as well as Jabil’s San Jose, California-based production site. Sarcos anticipates that Jabil will primarily produce sub-systems for its commercial products this year, particularly the Guardian XT dexterous robotic system and may also include the Guardian XM intelligent robotic system and Guardian Sea Class Robotic System. Final system assembly is expected to take place at Sarcos facilities.

“Jabil is pleased to provide our value-added manufacturing services, which we are confident will expand Sarcos’ overall production capacity in a highly cost-effective and efficient manner,” Craig Trotter, vice president of the capital equipment business unit at Jabil, said. “Our deep expertise in materials science, mechanical assembly, and human-machine interfaces, along with final assembly and test, will prove pivotal in accelerating world-class production of Sarcos’ industry-leading robotic systems and sub-systems.”

Earlier this month, Sarcos announced that it successfully completed the final validation of its Outdoor Autonomous Manipulation of Photovoltaic Panels (O-AMPP) project. 

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Diagnosis of liver diseases based on artificial intelligence



doi: 10.1080/02648725.2023.2193057.


Online ahead of print.

Affiliations

Item in Clipboard

Zhe Zhang.


Biotechnol Genet Eng Rev.


.

Abstract

Due to a series of problems in the diagnosis of liver disease, the mortality rate of liver disease patients is very high. Therefore, it is necessary for doctors and researchers to find a more effective non-invasive diagnostic method to meet clinical needs. We analyzed data from 416 patients with liver disease and 167 patients without liver disease from northeastern Andhra Pradesh, India. On the basis of considering age, gender and other basic data of patients, this paper uses total bilirubin and other clinical data as parameters to build a diagnostic model. In this paper, the accuracy of artificial intelligence method Random Forest (RF) and Support Vector Machine (SVM) model in the diagnosis of liver patients was compared. The results show that the support vector machine model based on Gaussian kernel function is more excellent in diagnostic accuracy, that is, SVM method is more suitable for the diagnosis of liver diseases.


Keywords:

Liver disease; disease diagnosis; random forest; support vector machine.



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