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Introducing the Keypanion™ App | AltEnergyMag

Southco is thrilled to introduce the Keypanion™ app, our new wireless access control solution. The Keypanion™ app enables a simple, plug and play system, allowing users to share digital keys and manage equipment access from their phone, at any time and from any location. To learn more about the Keypanion™ app, check out this video.

Raptor-map , Raptor-robotics , Robotics , Obotics-industry , Obotics-news , Obotics-articles , Obotics-technology , Obotics-companies , Obotics-conferences , Obotics-resources , Obot

THE POWER OF AUTOMATION: COMAU UNVEILS NEW ROBOTS AND INTELLIGENT SOLUTIONS AT AUTOMATE 2024

-Comau will demonstrate its seamless integration with the Unified Robot Control (URC) Solution from Rockwell Automation as part of an innovative handling and palletizing application
-Comau underscores its long-term collaboration with Intrinsic to make the next generation of robotics more accessible to all

Italy , United-states , America , Pietro-gorlier , Robot-control-library , Comau-academy , Google , Rockwell-automation , North-america , Mccormick-place , Unified-robot-control-library , Open-controller

ION Storage Systems Commissions One of the Country's Largest Solid-State Battery Manufacturing Facilities

The state-of-the-art battery production pilot line is expected to begin manufacturing 1MWh of battery cells this year, growing to 10MWh by early 2025 with a longer-term goal of 500MWh of capacity by 2028.

Maryland , United-states , Beltsville , University-of-maryland , American , America , Ricky-hanna , Chris-van-hollen , Glenn-ivey , Van-hollen , Department-of-defense , Department-of-energy

Kawasaki Robotics Shares First Look of New Collaborative Robots, Features New Partnerships and Applications for Industrial Robots at AUTOMATE 2024

Powered with partner NEURA Robotics’ robotic assistant platform, the CL Series combines all the safety and intuitiveness that standard cobots are known for with a solid, robust design that unlocks the speed and productivity of industrial robotics to offer limitless user flexibility.

Germany , David-reger , Chicago-may , Seiji-amazawa , Facebook , Linkedin , Twitter , Kawasaki-robotics , Kawasakir-series , Mech-mind , Kawasaki-robotic , Olis-robotics

ABB expands modular large robot portfolio

• New IRB 7710 and IRB 7720 alongside wider portfolio offer new levels of flexibility and greater choice with almost 50 variants
• New series delivers up to a 30% reduction in energy consumption1
• Latest robots ideally suited for use in industries such as automotive, general industry and logistics


Chicago , Illinois , United-states , Switzerland , Swiss , Marc-segura , Robotics-division , Automate-show , Discrete-automation , Autonomous-mobile-robots , Robotics , Obotics-industry

Alternative Energy Company - WETER LLC

WETER LLC was established in 2020 to carry out research and development in the field of natural and technical sciences, devices (systems) for the production and transmission (distribution) of electricity, urban infrastructure systems in collaboration with scientists, specialists and specialized institutions to obtain design results that allow the creation of new power generating devices and infrastructure communications of cities.
The company has a production and research office in Dubai, UAE: TIAGLIN HUB, WETER LLC; UAE, DUBAI, DIP 1, W10.
The company has highly qualified specialists:
research engineers;
feasibility studies experts
marketing and market analysis specialists;
engineering-specialists;
design engineers;
architects;
technical staff.
To date, WETER LLC has been implementing projects W.E.T.E.R, GOROD L.E.S and V.O.D.A aimed at developing urban infrastructure, creating energy-efficient facilities and overcoming electricity shortages. Moreover, the properties of the objects of the projects determine the creation of optimal, comfortable and safe living conditions for humans, reducing the man-made impact on nature and the climate of the planet.

Dubai , Dubayy , United-arab-emirates , Company-sector , Company-category , Free-company-listing , Other-renewables , Free-company , Robotics , Obotics-industry , Obotics-news

NREL Invites Robots To Help Make Wind Turbine Blades

Although robots have been used by the wind energy industry to paint and polish blades, automation has not been widely adopted. Research at the laboratory demonstrates the ability of a robot to trim, grind, and sand blades.

Petr-sindler , Hunter-huth , Scott-lambert , Daniel-laird , Casey-nichols , Derek-berry , Werner-slocum , David-barnes , David-snowberg , National-wind-technology-center , Technology-co , Us-department-of-energy

"FLPurifier: Backdoor Defense in Federated Learning vi" by Jiale Zhang, Chengcheng Zhu et al.

Recent studies have demonstrated that backdoor attacks can cause a significant security threat to federated learning. Existing defense methods mainly focus on detecting or eliminating the backdoor patterns after the model is backdoored. However, these methods either cause model performance degradation or heavily rely on impractical assumptions, such as labeled clean data, which exhibit limited effectiveness in federated learning. To this end, we propose FLPurifier, a novel backdoor defense method in federated learning that can effectively purify the possible backdoor attributes before federated aggregation. Specifically, FLPurifier splits a complete model into a feature extractor and classifier, in which the extractor is trained in a decoupled contrastive manner to break the strong correlation between trigger features and the target label. Compared with existing backdoor mitigation methods, FLPurifier doesn’t rely on impractical assumptions since it can effectively purify the backdoor effects in the training process rather than an already trained model. Moreover, to decrease the negative impact of backdoored classifiers and improve global model accuracy, we further design an adaptive classifier aggregation strategy to dynamically adjust the weight coefficients. Extensive experimental evaluations on six benchmark datasets demonstrate that FLPurifier is effective against known backdoor attacks in federated learning with negligible performance degradation and outperforms the state-of-the-art defense methods.

Adaptation-models , Daptive-classifier-aggregation , Ackdoor-attacks , Ecoupled-contrastive-training , Eature-extraction , Ederated-learning , Obustness , Elf-supervised-learning , Ervers , Raining ,