Artificial Intelligence (AI) has made significant progress in the past 5 years and is playing a more and more important role in power system analysis and control. It is foreseeable that the future power system transient stability simulations will be deeply integrated with AI. However, the existing power system dynamic simulation tools are not AI-friendly enough. In this paper, a general design of an AI-oriented power system transient stability simulator is proposed. It is a parallel simulator with a flexible application programming interface so that the simulator has rapid simulation speed, neural network supportability, and network topology accessibility. A prototype of this design is implemented and made public based on our previously realized simulator. Tests of this AI-oriented simulator are carried out under multiple scenarios, which proves that the design and implementation of the simulator are reasonable, AI-friendly, and highly efficient.

MIT has unveiled a new toolkit that lets users design health-sensing devices that can detect how muscles move. The university's Science and and Artificial Intelligence Laboratory (CSAIL) created the kit using something called "electrical impedance tomography" (EIT), that measures internal conductivity to gauge whether muscles are activated or relaxed. The research could allow for wearables that monitor distracted driving, hand gestures or muscle movements for physical rehabilitation. In a paper, the researchers wrote that EIT sensing usually requires expensive hardware setups and complex algorithms to decipher the data. The advent of 3D printing, inexpensive electronics and open-source EIT image libraries has made it feasible for more users, but designing a wearable setup is still a challenge.

Fibre jamming is a relatively new and understudied soft robotic mechanism that has previously found success when used in stiffness-tuneable arms and fingers. However, to date researchers have not fully taken advantage of the freedom offered by contemporary fabrication techniques including multi-material 3D printing in the creation of fibre jamming structures. In this research, we present a novel, modular, multi-material, 3D printed, fibre jamming tendon unit for use in a stiffness-tuneable compliant robotic ankle, or Jammkle. We describe the design and fabrication of the Jammkle and highlight its advantages compared to examples from modern literature. We develop a multiphysics model of the tendon unit, showing good agreement with experimental data. Finally, we demonstrate a practical application by integrating multiple tendon units into a robotic ankle and perform extensive testing and characterisation. We show that the Jammkle outperforms comparative leg structures in terms of compliance, damping, and slip prevention.

Bengaluru, August 27, 2021: Peekay Group has signed an agreement with Bengaluru Airport City Limited (BACL)to develop a 3D Printing technology facility at the Airport City that is being developed in the BLR Airport premises. This facility will house a production centre as well as an experience zone to learn 3D printing & ideate for innovative solutions. In addition, the facility will be used to train technology experts, up-grade skills, increase awareness of various 3D printing applications. This will play a role in engaging youngsters in this new era of technology driven manufacturing. The global 3D printing market size is estimated to reach US$ 62.79 billion by 2028 and is expected to witness a CAGR of 21.0% from 2021 to 2028.

Scientists in Wales are 3D-printing cartilage for people born without body parts or who have missing facial features due to facial scarring. Using human cells and plant based materials, the experts say they are able to print ears, noses and other parts to help with facial reconstruction. The technology would benefit those who have had facial scarring as a result of burns, cancer and other types of trauma. The Scar Free Foundation has launched a three-year £2.5 million programme of'regenerative research' into the technology based at Swansea University with the aim to progress to clinical trials involving humans. A three-year ££2.5 million research programme funded by the Scar Free Foundation and Health and Care Research Wales at Swansea University will aim to advance the development of 3D bioprinted facial cartilage According to the Scar Free Foundation, patients living with the loss of facial features have told researchers that existing plastic prostheses didn't feel'part of them' and would prefer their own tissue to be used for reconstruction.

Construction technology continues to evolve, including the creation of a variety of infrastructure, including three-dimensional (3D) prints. Now, the world's first 3D-printed steel structure, a'living laboratory' bridge, has been unveiled by a robot in Amsterdam. This pedestrian bridge with smart sensors will replace the old bridge under external restoration for the next two years. The 3D-printed footbridge, which is over four years in the making, is the result of a unique collaboration between MX3D, software company Autodesk, chief engineer Arup, steel giant ArcelorMittal, the City of Amsterdam, and the University of Twente, among others. MX3D made this design possible by turning welding robots with intelligent software into industrial 3D printers.

The artificial intelligence (AI) market in the agriculture industry is driven by maximizing profits in farm operations.

With time-to-market in the automotive industry steadily decreasing, the demand for additive manufactured prototyping components is higher than ever. However, in order to make larger 3D printed volumes tangible, process chains still need to be optimized and further developed in regards to output quantity, production speed, and economic viability, according to a new study by German multinational automotive firm BMW. Having identified a need to further optimize and increase the efficiency of additive manufacturing technologies and their process chains, BMW has conducted research into the complexity and economical value of Artificial Intelligence (AI) for the automated identification of 3D printed parts. The paper outlines the state-of-play of current available additive manufacturing process chains, the complexities of using AI for part recognition, and the economic viability of using AI-based platforms such as AM-VISION, an automated machine learning part recognition system from Dutch 3D printing, post-processing and automation firm AM-Flow, to further industrialize overall 3D printing process chains. The research paper, which has been compiled by authors from BMW, AM-Flow and the University of Duisburg-Essen (UDE), highlights how additive manufacturing's technological progress is enabling higher production speeds, increased choice of materials, and adjustable robust mechanical properties within parts that resemble those of conventional products.

Researchers from Baidu Research Robotics and Auto-Driving Lab (RAL) and the University of Maryland, College Park, have introduced an autonomous excavator system (AES) that can perform material loading tasks for a long duration without any human intervention while offering performance closely equivalent to that of an experienced human operator. AES is among the world's first uncrewed excavation systems to have been deployed in real-world scenarios and continuously operating for over 24 hours, bringing about industry-leading benefits in terms of enhanced safety and productivity. The researchers described their methodology in a research paper published on June 30, 2021, in Science Robotics. "This work presents an efficient, robust, and general autonomous system architecture that enables excavators of various sizes to perform material loading tasks in the real world autonomously," said Dr. Liangjun Zhang, corresponding author and the Head of Baidu Research Robotics and Auto-Driving Lab. Excavators are vital for infrastructure construction, mining, and rescue applications.

Applicable only in its native Sweden, the firm's patent covers the uploading of a patient's 3D scan to an autonomous system, which uses this data to perform cosmetic filler procedures via bioprinting-armed robotics. Given that it's invention potentially provides patients with faster and more accurate plastic surgeries, CELLINK says that with further tweaking, it could find commercial applications moving forwards. "This invention shows our innovative research & development capabilities and passion for improving patient's outcomes, whether for cosmetic or reconstructive surgery," said Dr. Héctor Martínez, CTO of CELLINK. "This granted patent can potentially offer commercial opportunities for the CELLINK Group." "We foresee that this robotic system enables cutting-edge possibilities to deliver personalized aesthetic outcomes and we will continue to explore it."