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Australian Securities Exchange(20min delay) Trade with IG Advertisement Last 65.0¢ Change 0.015(2.36%) Mkt cap ! $1.134B Open High Low Value Volume 65.0¢ 65.0¢ 65.0¢ $194.7K 299.5K Buyers (Bids) NO. VOL. PRICE($) 4 323339 65.0¢ Sellers (Offers) PRICE($) VOL. NO. 65.5¢ 88000 4 Last trade - 10.00am 08/02/2023 (20 minute delay) ?

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https://www.eenewseurope.com/en/brainchip-and-ai-labs-target-future-predictive-maintenance/ BrainChip and AI Labs target future predictive maintenance Business news | February 7, 2023 By Jean-Pierre Joosting AI NEUROMORPHIC PREDICTIVE MAINTENANCE AIOT IP BrainChip Holdings Ltd, a producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, has announced a partnership with AI Labs to collaborate on next-generation application development leveraging the Minsky™ AI Engine. System health monitoring is a critical use case in industrial efficiency and productivity. As machines and processes get more complex, the ability to detect anomalies, identify challenges, predict impacts becomes increasingly difficult. Especially when those changes are barely discernible as standard machine diagnostics or discernable to human observation. A combination of the Minsky AI Engine, smart models, and the sensory inference capabilities of BrainChip’s Akida™ provides a compelling and cost-effective solution to these real-world problems. “Minsky is the most easy-to-use, proprietary, enterprise-grade AI engine that does not require data scientists or software developers to model and run predictions,” said Bhasker Rao, Founder of Ai Labs. “When optimized for BrainChip’s neuromorphic IP platform, the result will fuel rapid growth in the industrial AIoT space. Together with BrainChip’s Akida IP and MetaTF™, we can radically improve development and deployment of predictive maintenance applications, such as vibration analysis, gas sensing, temperature sensing and others, preventing costly potential failures and reducing machine downtime. This streamlines processes and increases industrial efficiency and profitability.” Additionally, since similar machines do not all fail the same way or at the same rate, models may have to be customized for different production lines. This is where Akida’s on-device learning capability provides a differentiated and secure approach to intelligent customization. “Technological advancements in industrial infrastructure such as oil exploration, manufacturing, mining, transportation to mention a few, have enabled some amazing features that make for a better customer experience, but they also have created additional points of failure that can be difficult to assess,” said Rob Telson, VP of Ecosystems and Partnerships at BrainChip. “Using a combination of AI Labs, the Minsky AI Engine and our Akida platform, we are providing a way to intelligently identify points of failure, predict issues and proactively fix them before they happen. This intelligence is a game changer.” www.brainchip.com