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Tag: MLSoC

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SiMa.ai and TRUMPF Agree on Strategic Partnership for Lasers with Artificial Intelligence

Jul 17, 2024 by Mansi 0 Comments #3D printers, #artificial intelligence, #Harald Kröger, #MLSoC, #Richard Bannmüller, #SiMa.ai, #TRUMPF

Bengaluru, India, 17 July, 2024 – Today, the high-tech company TRUMPF and SiMa.ai, the software-centric, embedded edge machine learning system-on-chip company, signed a partnership to develop lasers with artificial intelligence (AI). The goal is to equip several laser systems of TRUMPF with AI technology in the near future. This includes systems for welding, cutting and marking, as well as powder metal 3D printers.

SiMa trumpf

“AI has high strategic relevance for TRUMPF. Our expertise in laser processes and manufacturing helps us to develop smart software for production purposes. SiMa.ai is the ideal partner for this next big step towards intelligent industrial solutions,” says Richard Bannmüller, CEO of TRUMPF Laser and Systems Technology.

Both companies bring their respective expertise to the collaboration: TRUMPF, its laser application expertise, and SiMa.ai, its machine learning system on chip (MLSoC) technology.

“The rapid acceleration of AI innovation is reshaping how humans can leverage emerging technology – SiMa.ai’s powerful MLSoC and flexible software alongside TRUMPF’s highest level of process understanding is enabling AI solutions that drive the industry forward. In combination with TRUMPF’s advanced AI software, SiMa.ai’s one software-centric platform for all edge AI adjusts to any framework, network, model, sensor, or modality, making it possible to reach the next level of AI-assisted laser technology,” says Harald Kröger, Head of Sales and President of Automotive Business at SiMa.ai.

SiMa.ai, headquartered in San Jose, California with offices in Bengaluru, India employs approximately 200 employees. Edge ML applications that run completely on SiMa.ai’s machine learning system on chip see a tenfold increase in performance and energy efficiency, bringing higher fidelity intelligence to ML use cases spanning computer vision to generative AI, in minutes. At TRUMPF, approximately 90 employees worldwide are working on AI, primarily in product development.

Accelerated production of electric vehicles

The joint collaboration intends to accelerate complex material processing. The powerful, compact and energy-efficient AI chips will be integrated directly into the laser systems. The AI-optimized sensor technology can monitor the quality of the laser welding process in real time and evaluate more than 3,000 images per second. In electric car production, for example, the real-time quality inspection during laser welding with the help of artificial intelligence (AI) is expected to replace separate and complex testing procedures. Moreover, battery manufacturers will be able to increase the quality of their production in real time and reduce the reject rate which could ultimately lower the price of electric cars for consumers.

business

SiMa.ai, Lanner, and AWL Collaborate to Accelerate Smart Retail at the Edge

May 24, 2024 by Gayathri Pariti 0 Comments #AI, #AI Practice at Lanner Electronics, #AI/ML market, #and AWL Collaborate, #Bengaluru, #Elizabeth Samara Rubio, #Lanner, #Maulik Upala, #MLSoC, #SiMa.ai, #The software centric, #Yasuhiro Tsuchida

Bengaluru, May 24, 2024: -SiMa.ai, the software centric, embedded edge machine learning system-on-chip company, today announced a collaboration with Lanner, a leading provider of industrial computing appliances, and AWL, an AI software company specializing in video analytics. The partnership will deliver high-performance edge AI solutions optimized for industry sectors like manufacturing, retail, and transportation.

The integrated solution combines Lanner’s Edge AI appliance EAI-I730 and LEC-2290 with the SiMa.ai Machine Learning System on Chip (MLSoC) PCIe Card platform and Palette™ Edgematic software, along with AWL’s AI-based video analytics software. This enables customers to rapidly deploy AI inferencing at the edge with industry-leading performance and provides real-time multi camera video analytics to interpret ingested frames on the fly. Each SiMa.ai PCIe card delivers up to 50 TOPS performance. LEC-2290 takes one PCIe card whereas EAI-1730 can incorporate up to 4 PCIe cards.

“SiMa.ai Palette Software and MLSoC empowers customers across multiple verticals, such as manufacturing, retail, aerospace, defense, and healthcare, to deploy high performance AI applications at the edge,” said Elizabeth Samara Rubio, Chief Business Officer at SiMa.ai. “The partnership with Lanner and AWL allows us to deliver a joint AI solution offering making it easier for customers to scale embedded AI applications at the edge for retail and manufacturing use cases.”

“SiMa.ai is the clear leader in bringing computer vision intelligence to any device in the edge market through its remarkable fusion of hardware and software innovation,” said Maulik Upala, Director of AI Practice at Lanner Electronics. “In supporting the industry’s widest range of ML models and ML frameworks for computer vision, SiMa.ai ensures our customers can focus on rapid innovation versus implementation.”

“Our collaboration with SiMa.ai enables our customers to deploy real-time, high-performance, accurate retail analytics, enabling them to simultaneously reduce both cost and power-consumption,” said Yasuhiro Tsuchida, CTO of AWL. “The ability to accelerate complete workload pipelines in the SiMa MLSoC, as opposed to ML acceleration only, enables us to provide differentiated, highly performant and optimized solutions for retail environments that are sensitive to cost and power overheads.”

SiMa.ai delivers one platform for all edge AI that scales with customers as their AI/ML journey evolves, from computer vision, to transformers to multimodal generative AI. The SiMa.ai MLSoC enables full pipeline deployment of complete real-world workloads as a standalone edge-based system, with high-performance and power efficiency. SiMa.ai’s MLSoC works seamlessly with Palette Software to empower customers across multiple verticals such as industrial manufacturing, retail, aerospace, defense, agriculture, and healthcare, with increased compute capabilities, while maximizing efficiency by delivering the highest frames per second per watt (FPS/W) performance in the edge AI/ML market.