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BrainChip Holdings And 2 Other ASX Penny Stocks To Watch
BrainChip Holdings And 2 Other ASX Penny Stocks To Watch

Yahoo

time12-06-2025

  • Business
  • Yahoo

BrainChip Holdings And 2 Other ASX Penny Stocks To Watch

The Australian market is showing resilience, with ASX 200 futures indicating a slight gain despite global uncertainties such as Middle East tensions and U.S.-China trade discussions impacting Wall Street. Penny stocks, often associated with smaller or newer companies, continue to offer intriguing opportunities for investors seeking growth at lower price points. These stocks can still present significant potential when supported by strong balance sheets and solid fundamentals, making them worth watching in the current market landscape. Name Share Price Market Cap Financial Health Rating EZZ Life Science Holdings (ASX:EZZ) A$1.82 A$85.86M ★★★★★★ GTN (ASX:GTN) A$0.64 A$122.15M ★★★★★★ IVE Group (ASX:IGL) A$2.66 A$410.12M ★★★★★☆ Southern Cross Electrical Engineering (ASX:SXE) A$1.63 A$430.99M ★★★★★★ Tasmea (ASX:TEA) A$2.95 A$695.08M ★★★★★☆ Regal Partners (ASX:RPL) A$2.30 A$773.18M ★★★★★★ Accent Group (ASX:AX1) A$1.80 A$1.08B ★★★★☆☆ Lindsay Australia (ASX:LAU) A$0.73 A$231.53M ★★★★☆☆ Bisalloy Steel Group (ASX:BIS) A$3.33 A$158.01M ★★★★★★ CTI Logistics (ASX:CLX) A$1.80 A$144.98M ★★★★☆☆ Click here to see the full list of 1,006 stocks from our ASX Penny Stocks screener. Let's dive into some prime choices out of the screener. Simply Wall St Financial Health Rating: ★★★★★★ Overview: BrainChip Holdings Ltd develops software and hardware solutions for artificial intelligence and machine learning across multiple regions, with a market cap of A$455.79 million. Operations: The company generates revenue from the technological development of designs, amounting to $0.40 million. Market Cap: A$455.79M BrainChip Holdings Ltd, with a market cap of A$455.79 million, is pre-revenue and currently unprofitable, generating only US$0.40 million in revenue. Despite this, the company has no debt and a stable cash runway exceeding one year based on current free cash flow. Recent collaborations include an agreement with Chelpis Quantum Corp for post-quantum cryptographic security chips and a partnership with ARQUIMEA for AI-powered water safety solutions. However, significant insider selling over the past three months raises caution. The management team's average tenure is 1.5 years, indicating relatively new leadership. Dive into the specifics of BrainChip Holdings here with our thorough balance sheet health report. Assess BrainChip Holdings' future earnings estimates with our detailed growth reports. Simply Wall St Financial Health Rating: ★★★★★★ Overview: Cettire Limited operates as an online luxury goods retailer in Australia, the United States, and internationally with a market cap of A$177.28 million. Operations: The company generates its revenue primarily through online retail sales, amounting to A$781.98 million. Market Cap: A$177.28M Cettire Limited, with a market cap of A$177.28 million, is trading significantly below its estimated fair value and operates debt-free, alleviating concerns about interest payments. The company has seen its weekly volatility decrease over the past year and maintains strong short-term liquidity with assets exceeding liabilities. However, Cettire's recent earnings growth has been negative at -88.4%, compounded by a decline in profit margins from 3.6% to 0.3%. Recent board changes include Steven Fisher as Chair and Daniel Agostinelli joining as an Independent Non-Executive Director, both bringing extensive retail experience to guide future strategies. Click here to discover the nuances of Cettire with our detailed analytical financial health report. Evaluate Cettire's prospects by accessing our earnings growth report. Simply Wall St Financial Health Rating: ★★★★☆☆ Overview: Core Lithium Ltd focuses on the development of lithium and various metal deposits in Northern Territory and South Australia, with a market cap of A$195.01 million. Operations: The company's revenue is primarily derived from the Finniss Lithium Project, which generated A$52.28 million. Market Cap: A$195.01M Core Lithium Ltd, with a market cap of A$195.01 million, is trading significantly below its estimated fair value and remains debt-free, which can be advantageous for financial flexibility. The company is currently unprofitable and faces less than a year of cash runway based on current free cash flow trends. Its short-term assets exceed both short- and long-term liabilities, indicating solid liquidity management. Recent updates on the Finniss Restart Study highlight efforts to optimize operations at its key lithium project to enhance productivity and reduce costs. However, profitability is not anticipated in the near term according to forecasts. Jump into the full analysis health report here for a deeper understanding of Core Lithium. Gain insights into Core Lithium's outlook and expected performance with our report on the company's earnings estimates. Jump into our full catalog of 1,006 ASX Penny Stocks here. Searching for a Fresh Perspective? Trump's oil boom is here — pipelines are primed to profit. Discover the 22 US stocks riding the wave. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include ASX:BRN ASX:CTT and ASX:CXO. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@

BrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit
BrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit

Yahoo

time19-05-2025

  • Business
  • Yahoo

BrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit

LAGUNA HILLS, Calif., May 19, 2025--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world's first commercial producer of ultra-low power, fully digital, event-based neuromorphic AI, today announced that Dr. M. Anthony Lewis, the company's Chief Technology Officer, will present at the Embedded Vision Summit, taking place May 20–22, 2025 in Santa Clara, CA. The Summit is the premier conference for innovators focused on computer vision and edge AI technologies. Dr. Lewis' presentation, titled "State-Space Models vs Transformers at the Extreme Edge: Architectural Choices for Low Power AI," will examine the trade-offs and opportunities in designing AI models for environments with severe energy and compute constraints. In his session, Dr. Lewis will explore how State-Space Models (SSMs)—including BrainChip's proprietary Temporal Event-based Neural Networks (TENNs)—offer significant advantages over traditional Transformer architectures in edge scenarios. Unlike Transformers, which rely on energy-intensive read-write memory architectures, SSMs support read-only operations that reduce total system power and enable the use of novel memory types. With fewer MAC (multiply-accumulate) units required, SSMs further minimize energy consumption and chip area. The talk will also highlight methods for migrating from Transformer-based models like LLaMA to SSMs using distillation, preserving accuracy while dramatically improving efficiency. Attendees of the Summit can visit BrainChip at booth #716 to see live demonstrations of the company's latest advancements in Edge AI technology, including innovations in on-chip language processing, ultra-low power inference, and Akida-powered solutions. "State-space models are redefining the limits of real-time, low-power intelligence at the edge," said Dr. Lewis. "This presentation will show how BrainChip is delivering scalable, efficient, and highly interactive AI solutions for today's most demanding embedded environments." This participation reinforces BrainChip's leadership in the rapidly growing field of real-time streaming Edge AI, bringing highly efficient compute to devices in aerospace, automotive, robotics, consumer electronics, and wearables. About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company's first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition and processing data with unmatched efficiency, precision, and energy economy. BrainChip's Temporal Event-based Neural Networks (TENNs) build on State-Space Models (SSMs) with time-sensitive, event-driven frameworks that are ideal for real-time streaming applications. These innovations make low-power Edge AI deployable across industries such as aerospace, autonomous vehicles, robotics, industrial IoT, consumer devices, and wearables. BrainChip is advancing the future of intelligent computing, bringing AI closer to the sensor and closer to real-time. Explore more at Follow BrainChip:Twitter: LinkedIn: View source version on Contacts Media Contact: Mark SmithJPR Communications818-398-1424 Investor Relations: Tony DaweDirector, Global Investor Relationstdawe@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

BrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit
BrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit

Business Wire

time19-05-2025

  • Business
  • Business Wire

BrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit

LAGUNA HILLS, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world's first commercial producer of ultra-low power, fully digital, event-based neuromorphic AI, today announced that Dr. M. Anthony Lewis, the company's Chief Technology Officer, will present at the Embedded Vision Summit, taking place May 20–22, 2025 in Santa Clara, CA. The Summit is the premier conference for innovators focused on computer vision and edge AI technologies. BrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit Share Dr. Lewis' presentation, titled 'State-Space Models vs Transformers at the Extreme Edge: Architectural Choices for Low Power AI,' will examine the trade-offs and opportunities in designing AI models for environments with severe energy and compute constraints. In his session, Dr. Lewis will explore how State-Space Models (SSMs)—including BrainChip's proprietary Temporal Event-based Neural Networks (TENNs)—offer significant advantages over traditional Transformer architectures in edge scenarios. Unlike Transformers, which rely on energy-intensive read-write memory architectures, SSMs support read-only operations that reduce total system power and enable the use of novel memory types. With fewer MAC (multiply-accumulate) units required, SSMs further minimize energy consumption and chip area. The talk will also highlight methods for migrating from Transformer-based models like LLaMA to SSMs using distillation, preserving accuracy while dramatically improving efficiency. Attendees of the Summit can visit BrainChip at booth #716 to see live demonstrations of the company's latest advancements in Edge AI technology, including innovations in on-chip language processing, ultra-low power inference, and Akida-powered solutions. 'State-space models are redefining the limits of real-time, low-power intelligence at the edge,' said Dr. Lewis. 'This presentation will show how BrainChip is delivering scalable, efficient, and highly interactive AI solutions for today's most demanding embedded environments.' This participation reinforces BrainChip's leadership in the rapidly growing field of real-time streaming Edge AI, bringing highly efficient compute to devices in aerospace, automotive, robotics, consumer electronics, and wearables. About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company's first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition and processing data with unmatched efficiency, precision, and energy economy. BrainChip's Temporal Event-based Neural Networks (TENNs) build on State-Space Models (SSMs) with time-sensitive, event-driven frameworks that are ideal for real-time streaming applications. These innovations make low-power Edge AI deployable across industries such as aerospace, autonomous vehicles, robotics, industrial IoT, consumer devices, and wearables. BrainChip is advancing the future of intelligent computing, bringing AI closer to the sensor and closer to real-time. Explore more at

BrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit
BrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit

Yahoo

time19-05-2025

  • Business
  • Yahoo

BrainChip CTO to Present on Architectural Innovation for Low-Power AI at the Embedded Vision Summit

LAGUNA HILLS, Calif., May 19, 2025--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world's first commercial producer of ultra-low power, fully digital, event-based neuromorphic AI, today announced that Dr. M. Anthony Lewis, the company's Chief Technology Officer, will present at the Embedded Vision Summit, taking place May 20–22, 2025 in Santa Clara, CA. The Summit is the premier conference for innovators focused on computer vision and edge AI technologies. Dr. Lewis' presentation, titled "State-Space Models vs Transformers at the Extreme Edge: Architectural Choices for Low Power AI," will examine the trade-offs and opportunities in designing AI models for environments with severe energy and compute constraints. In his session, Dr. Lewis will explore how State-Space Models (SSMs)—including BrainChip's proprietary Temporal Event-based Neural Networks (TENNs)—offer significant advantages over traditional Transformer architectures in edge scenarios. Unlike Transformers, which rely on energy-intensive read-write memory architectures, SSMs support read-only operations that reduce total system power and enable the use of novel memory types. With fewer MAC (multiply-accumulate) units required, SSMs further minimize energy consumption and chip area. The talk will also highlight methods for migrating from Transformer-based models like LLaMA to SSMs using distillation, preserving accuracy while dramatically improving efficiency. Attendees of the Summit can visit BrainChip at booth #716 to see live demonstrations of the company's latest advancements in Edge AI technology, including innovations in on-chip language processing, ultra-low power inference, and Akida-powered solutions. "State-space models are redefining the limits of real-time, low-power intelligence at the edge," said Dr. Lewis. "This presentation will show how BrainChip is delivering scalable, efficient, and highly interactive AI solutions for today's most demanding embedded environments." This participation reinforces BrainChip's leadership in the rapidly growing field of real-time streaming Edge AI, bringing highly efficient compute to devices in aerospace, automotive, robotics, consumer electronics, and wearables. About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company's first-to-market, fully digital, event-based AI processor, Akida™, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition and processing data with unmatched efficiency, precision, and energy economy. BrainChip's Temporal Event-based Neural Networks (TENNs) build on State-Space Models (SSMs) with time-sensitive, event-driven frameworks that are ideal for real-time streaming applications. These innovations make low-power Edge AI deployable across industries such as aerospace, autonomous vehicles, robotics, industrial IoT, consumer devices, and wearables. BrainChip is advancing the future of intelligent computing, bringing AI closer to the sensor and closer to real-time. Explore more at Follow BrainChip:Twitter: LinkedIn: View source version on Contacts Media Contact: Mark SmithJPR Communications818-398-1424 Investor Relations: Tony DaweDirector, Global Investor Relationstdawe@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

BrainChip Collaborates with Chelpis-Mirle on Security Solution
BrainChip Collaborates with Chelpis-Mirle on Security Solution

Business Wire

time29-04-2025

  • Business
  • Business Wire

BrainChip Collaborates with Chelpis-Mirle on Security Solution

BUSINESS WIRE)-- BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world's first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI, today announced that Chelpis Quantum Corp. has selected its Akida AKD1000 chips to serve as the processor for built-in post-quantum cryptographic security. BrainChip AI, today announced that Chelpis Quantum Corp. has selected its Akida AKD1000 chips to serve as the processor for built-in post-quantum cryptographic security. Chelpis, a chip company leading the Quantum Safe Migration ecosystem in Taiwan, is developing an M.2 card using the AKD1000 that can be inserted into targeted products to support their cryptographic security solutions. The M.2 card is based on a design from BrainChip along with an agreement to purchase a significant number of AKD1000 chips for qualification and deployment. Upon completion of this phase, Chelpis is planning to increase its commitment with additional orders for the AKD1000. This agreement is the first step in a collaboration that is exploring the development of an AI-PQC robotic chip designed to fulfill both next-generation security and AI computing requirements. This project is a joint development effort with Chelpis partner company Mirle ( and has been formally submitted for consideration under Taiwan's chip innovation program. The funding aims to promote a new system-on-chip (SoC) integrating RISC-V, PQC, and NPU technologies. This SoC will specifically support manufacturing markets that emphasize a Made-in-USA strategy. Mirle plans to build autonomous quadruped robotics that mimic the movement of four-legged animals for industrial/factory environments. To enable this vision, Chelpis is exploring BrainChip's advanced Akida™ IP to incorporate advanced visual GenAI capabilities in the proposed SoC design. 'The ability to add Edge AI security capabilities to our industrial robotics project that provides the low power data processing required is paramount to successfully achieving market validation in the robotics sector,' said Ming Chih, CEO of Chelpis. 'We believe that BrainChip's Akida is just the solution that we further need to bring our SoC to fruition. Their event-based processing and advanced models serve as a strong foundation for developing a platform for manufacturing customers looking to leverage advanced robotics in their facilities.' 'Akida's ability to efficiently provide cyber-security acceleration with energy efficiency can help secure autonomous robotic devices,' said Sean Hehir, CEO of BrainChip. 'Akida's innovative approach to supporting LLMs and GenAI algorithms could serve as a key contributor to Chelpis as they pursue government funding to develop their SoC and advance their industrial robotic initiatives.' About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) BrainChip is the worldwide leader in Edge AI on-chip processing and learning. The company's first-to-market, fully digital, event-based AI processor, Akida TM, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables Edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today's workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective Edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers' products, as well as the planet. Explore the benefits at About CHELPIS CHELPIS is a technology company specializing in advanced chip design, cybersecurity, and post-quantum cryptography (PQC). As one of the leading global contributors to Quantum Safe Migration, CHELPIS actively participates in international standardization efforts, including initiatives driven by NIST and Linux PQCA, to support enterprises facing emerging cybersecurity threats in the quantum era. CHELPIS is developing innovative chip solutions such as Zero-Trust security systems and AI-driven robotic chips built on RISC-V architecture, combining ultra-low power Neural Processing Units (NPU) with integrated PQC engines. These advanced SoC solutions serve critical application areas, including smart manufacturing, autonomous vehicles, intelligent robotics, and other high-security environments requiring robust and reliable protection. For more information, please visit:

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