Financial Data and Key Metrics Changes - Revenue in Q3 fiscal 2026 increased by 12% year-over-year and 28.5% on a fiscal year-to-date basis, reaching $6.1 million compared to $5.4 million in Q3 fiscal 2025 [3][11] - Gross margin was 52.7% in Q3 fiscal 2026, down from 54% in Q3 fiscal 2025 and 54.8% in the previous quarter [11] - Operating loss for Q3 fiscal 2026 was $6.9 million, compared to an operating loss of $4.1 million in the prior year and $3.2 million in the prior quarter [13] - Net loss in Q3 fiscal 2026 was $3 million, or $0.09 per diluted share, compared to a net loss of $3.2 million, or $0.11 per diluted share in the previous quarter [14] Business Line Data and Key Metrics Changes - Sales to KYEC were $1.1 million, or 17.9% of net revenues, down from $1.2 million, or 22.7% of net revenues in the same period a year ago [9] - Sales to Nokia increased to $675,000, or 11.1% of net revenues, compared to $239,000, or 4.4% of net revenues in the same period a year ago [10] - Military defense sales accounted for 28.5% of third-quarter shipments, slightly down from 30% in the comparable quarter a year ago [10] Market Data and Key Metrics Changes - The company is focusing on defense applications, which have shown early success, particularly with the U.S. Department of Defense [20] - The partnership with G2 Tech is expected to enhance capabilities in real-world applications, particularly in defense and potential commercial uses beyond drones [22] Company Strategy and Development Direction - The company is advancing its APU roadmap and hardware development, with plans to tape out Plato in early 2027 [3] - A partnership with G2 Tech for a proof-of-concept in autonomous perimeter security is underway, supported by government funding [4][6] - The focus is on low-power edge AI applications, with an emphasis on performance per watt and responsiveness rather than peak training metrics [9] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about strong sales from major customers in the first half of calendar 2026 [3] - The company is actively pursuing non-dilutive R&D funding through government defense programs, which is expected to provide additional financial support [24] - Current expectations for Q4 fiscal 2026 are net revenues in the range of $5.7 million to $6.5 million, with a gross margin of approximately 54% to 56% [17] Other Important Information - The company reported a significant increase in cash and cash equivalents to $70.7 million as of December 31, 2025, primarily due to net proceeds from a registered direct offering [16] - Total operating expenses in Q3 fiscal 2026 were $10.1 million, up from $7 million in the same period a year ago, driven by increased R&D spending [11][12] Q&A Session Summary Question: Importance of defense applications for Gemini 2 - Management highlighted that military and defense sectors have been the quickest to adopt their technology, with successful SBIR wins and ongoing evaluations for various applications [20][21] Question: Potential timelines for government funding - Management indicated a continuous pipeline of submissions for SBIRs and other funding programs, emphasizing the non-dilutive nature of this funding and its importance for future business exposure [24]

Financial Data and Key Metrics Changes - Revenue in Q3 fiscal 2026 increased by 12% year-over-year and 28.5% on a fiscal year-to-date basis, reaching $6.1 million compared to $5.4 million in Q3 fiscal 2025 [3][12] - Gross margin decreased to 52.7% in Q3 fiscal 2026 from 54% in Q3 fiscal 2025, primarily due to product mix [12] - Operating loss for Q3 fiscal 2026 was $6.9 million, compared to an operating loss of $4.1 million in the prior year [13] - Net loss in Q3 fiscal 2026 was $3 million, or $0.09 per diluted share, compared to a net loss of $3.2 million, or $0.11 per diluted share in the previous quarter [14][15] - Cash and cash equivalents increased to $70.7 million as of December 31, 2025, primarily due to $46.9 million in net proceeds from a registered direct offering [17] Business Line Data and Key Metrics Changes - Sales to KYEC were $1.1 million, or 17.9% of net revenues, down from $1.2 million, or 22.7% in the same period a year ago [10] - Sales to Nokia increased to $675,000, or 11.1% of net revenues, compared to $239,000, or 4.4% in the same period a year ago [11] - Military defense sales accounted for 28.5% of third-quarter shipments, slightly down from 30% in the comparable quarter a year ago [11] Market Data and Key Metrics Changes - The company is focusing on defense applications, which have shown early success, particularly with the U.S. Department of Defense [21] - The partnership with G2 Tech aims to leverage the company's technology for real-world applications, including drones and smart cities [24] Company Strategy and Development Direction - The company is advancing its APU roadmap and hardware development, with plans to tape out Plato in early 2027 [3] - The partnership with G2 Tech for the Sentinel program is expected to enhance the company's capabilities in autonomous perimeter security [4] - The focus is on non-dilutive R&D funding through government defense programs and strategic partnerships to support development [5] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about strong demand from major customers in the first half of calendar 2026 [3] - The company anticipates receiving over $1 million in government funding for the Sentinel project, which will offset R&D expenses [6] - The outlook for Q4 fiscal 2026 is net revenues in the range of $5.7 million to $6.5 million, with a gross margin of approximately 54% to 56% [18] Other Important Information - The company is expanding cash disclosures in its quarterly earnings to provide better insights into cash consumption and generation [16] - Total operating expenses in Q3 fiscal 2026 were $10.1 million, up from $7 million in the prior year [12] Q&A Session Summary Question: Importance of defense applications for Gemini 2 - Management highlighted that military and defense sectors have been the quickest to adopt their technology, with successful partnerships and applications already established [21][24] Question: Timelines for government funding - Management indicated a continuous pipeline of submissions for SBIRs and other funding opportunities, emphasizing the non-dilutive nature of this funding [26]

Group 1: Tesla and FSD - Tesla is at a pivotal moment in its history, with significant focus on Full Self-Driving (FSD) and autonomous capabilities, which are expected to drive future growth [2][3] - FSD adoption is projected to increase from 12% to 50%, which could significantly enhance Tesla's margins and stock valuation, with a base case target of $600 and a bull case of $800 [2][4] - The year 2025 is anticipated to be a major transition year for Tesla, with 2026 potentially being a "golden year" for the company [3] Group 2: Industry Dynamics - The tech industry is facing challenges related to power and chip shortages, which could impact the fourth industrial revolution [5][9] - Major tech companies like Microsoft, Google, and Amazon are expected to focus on vertical integration to address power supply constraints [6][8] - The current environment is described as an "arms race," where energy shortages are the primary limiting factor, rather than capital or technology [9]

Core Insights - Tesla is ending production of the Model S and Model X, marking the retirement of its two longest-running electric vehicles as part of a strategic shift towards an autonomous future [1][3] Production and Sales - The Model S was introduced in 2012 and the Model X in 2015, both contributing significantly to Tesla's establishment in the premium EV market [2] - In 2025, the Model 3 and Model Y accounted for approximately 97% of Tesla's total vehicle deliveries, which reached 1.6 million units [2][4] - The total production for 2025 was 1,654,667 vehicles, with 1,600,767 being Model 3/Y and 53,900 classified as "Other Models" [4] Strategic Shift - The decision to cease production of the Model S and Model X aligns with Tesla's broader strategy to cut costs and focus on more profitable models, as these older models are among the slowest sellers [3] - Tesla is transitioning from a traditional hardware-focused automaker to a "physical AI" company, with plans to scale up production in robotics, energy storage, and battery manufacturing [6] Future Focus - The Fremont factory, currently producing the Model S and Model X, will be repurposed for the production of Tesla's Optimus humanoid robot, with plans to ramp up production to 1 million units per year [7][8]

Core Insights - The sentiment around robotics investments has shifted significantly, with 85% of financial advisors paying more attention to this sector in 2026 compared to previous years [1] - Artificial intelligence (AI) is recognized as a crucial factor in bridging the gap between cost and skill in the physical economy, which constitutes 80% of global GDP [1] - The integration of AI in robotics is unlocking a near-term opportunity valued at $25 trillion, with long-term potential reaching $100 trillion as robots evolve to build other robots [1] Robotics and AI Market Dynamics - The transition from research and development to commercial deployment of robotics is underway, with advancements in humanoids and autonomous vehicles [1] - Humanoid robots, such as Figure, are being deployed in industrial settings, with production expected to scale to 100,000 units per year by 2028 [1] - AI-driven navigation for autonomous vehicles is becoming a commercial reality, as demonstrated by Waymo's expansion in major U.S. cities [1] Investment Opportunities - The ROBO Global Artificial Intelligence ETF (THNQ) is designed to target the robotics and AI investment opportunity, focusing on enablers and application providers [1] - THNQ provides diversified exposure across subsectors, including semiconductors and cloud providers essential for real-world AI applications [1] - The ROBO Global Robotics and Automation Index ETF (ROBO) offers global exposure to the rapidly growing robotics and automation industry [1]

Core Insights - Microsoft has launched its first robot-specific Rho-alpha model, which innovatively incorporates a tactile perception module alongside visual and language capabilities, marking a significant advancement in physical intelligence for robots [1][4][6] Group 1: Model Capabilities - Rho-alpha is designed to convert natural language instructions into control signals for robots, enabling them to perform complex tasks that require coordinated hand movements [4][6] - The model aims to break the limitations of robots operating only in highly controlled environments, allowing them to work in real-world scenarios filled with uncertainty [6][10] - Rho-alpha integrates tactile feedback into its decision-making process, allowing robots to adjust their actions based on physical contact, which is a significant departure from traditional models that primarily rely on visual information [7][8] Group 2: Training and Learning - The model employs a novel training approach that combines real robot demonstration data, simulation task data, and large-scale visual question-answering data, addressing the long-standing data scarcity issue in robotics [9] - Rho-alpha features strong continuous learning capabilities, enabling it to optimize its performance based on human feedback during actual operations [9] Group 3: Industry Implications - The introduction of Rho-alpha signifies a fundamental shift in the focus of humanoid robotics from hardware and control algorithms to foundational models as the new competitive core [10][12] - The industry is witnessing a competitive landscape where major players like Tesla, Google, and Microsoft are pursuing different technological routes, with Microsoft emphasizing a "foundation model + cloud + ecosystem" strategy [12] - As the robotics sector evolves, the ability to define the next generation of foundational models will be crucial for companies to secure their future in the market [12]

Core Viewpoint - Tesla is undergoing a significant pivot from traditional automotive models to a focus on physical AI, including autonomous driving and humanoid robots, marking a new phase in its growth [2][4]. Valuation Insights - Tesla's valuation remains challenging, with a market capitalization exceeding $100 billion and trading at over 150 times forward earnings, indicating a disconnect between stock price and near-term fundamentals [4][5]. - The market is currently placing less emphasis on near-term earnings, suggesting that Tesla's stock may remain elevated due to strong retail and technical support [5][6]. Robo Taxi Development - The primary focus for Tesla this year is on scaling the commercialization of its robo taxi service, with efforts to expand operational design domains (ODD) and compete against established players like Waymo [8][13]. - Tesla's potential cost advantage in the robo taxi market is significant, as its vehicles could be priced around $30,000 compared to competitors like Waymo, which costs between $100,000 to $150,000 per vehicle [13]. Humanoid Robot Progress - The humanoid robot initiative is still in the research and development phase, with initial production of the Gen 3 version expected later this year, but the market remains cautious until more concrete advancements are demonstrated [9][15]. - Tesla's AI capabilities and supply chain advantages are seen as key factors that may support its humanoid robot ambitions, despite competition from other players in the market [16][17].

Core Viewpoint - Microsoft has launched the Rho-alpha model, a robot-specific model that integrates visual, language, and tactile perception, marking a significant advancement in robotics by enabling robots to operate in complex real-world environments [1][5][7]. Group 1: Rho-alpha Model Overview - Rho-alpha is designed to convert natural language instructions into control signals for robots, facilitating collaborative tasks [5][10]. - The model aims to break the limitations of robots operating only in highly controlled environments, allowing for autonomous action generation in unpredictable settings [7][10]. - This technology, termed "Physical AI," extends AI capabilities from the digital realm to direct interaction with the physical world [7][10]. Group 2: Key Differentiators - Rho-alpha incorporates tactile perception into its core decision-making process, a significant departure from existing VLA (Visual-Language-Action) models that primarily rely on visual data [9][10]. - The model's ability to dynamically adjust actions based on tactile feedback enhances its operational dexterity, allowing robots to determine not just what an object is, but also whether it can be manipulated [9][10]. - Rho-alpha's training integrates real robot demonstration data, simulation tasks, and large-scale visual question-answering datasets, addressing the data scarcity issue in robotics [10][11]. Group 3: Technological Shift in Robotics - The focus of humanoid robotics is shifting from hardware and control algorithms to foundational models as the new competitive core [12][14]. - Different technological approaches are emerging in the industry, with Microsoft pursuing a "foundation model + cloud + ecosystem" strategy, contrasting with Tesla's "hardware + data loop" and Google's "algorithm + top-tier robot body" [14]. - Rho-alpha is still in the research phase and faces challenges such as generalization in diverse scenarios, cost control, and safety assurance for large-scale deployment [14].

Core Insights - GSI Technology announced preliminary benchmark results for its Gemini-II Compute-in-Memory processor, achieving a time-to-first-token (TTFT) of 3 seconds for multimodal large language models at the edge, with a power consumption of approximately 30 watts [1][2]. Performance Metrics - The Gemini-II processor demonstrated a TTFT of 3 seconds, which is the lowest reported for a multimodal 12B model on an embedded edge processor [2]. - Competitive platforms reported TTFTs of approximately 12 seconds on Qualcomm Snapdragon X Elite at 30W and 3 seconds on NVIDIA Jetson Thor at over 100W, indicating that Gemini-II offers superior performance at lower power levels [3]. Market Implications - The performance profile of Gemini-II is well-suited for "physical AI" markets, including drones and smart city applications, where power and thermal constraints are critical [4]. - The shift from cloud-assisted models to local inference in edge physical AI is expected to enhance latency, reliability, and operational efficiency [5]. Development and Collaboration - GSI's engineering team is focused on optimizing the responsiveness of the Gemini-II processor while collaborating with partners like G2 Tech for system integration and proof-of-concept activities [6].

Core Insights - Tesla's Q4 earnings report showed an EPS of $0.50, beating Wall Street estimates of $0.45 by 11%, but down 32% year-over-year. Revenue was $24.901 billion, slightly above the expected $24.78 billion, but down 3% year-over-year. Operating income for Q4 was $1.41 billion, exceeding the estimate of $1.32 billion [1][4] Group 1: Financial Performance - Tesla's Q4 vehicle deliveries dropped 15.6%, reflecting a slowdown in the legacy EV business due to the loss of federal tax credits. Despite this, margins increased by 4%, indicating a positive sign for the company [1] - Tesla Energy achieved a record gross profit of $1.1 billion, marking its fifth consecutive record quarter, driven by high demand for large-scale battery energy storage systems [3][12] Group 2: Strategic Investments - Tesla plans to invest $2 billion in xAI to integrate AI into physical applications, capitalizing on the rapid growth of xAI, which reached a valuation of approximately $230 billion following a successful Series E funding round [2][5] - The investment in xAI is expected to create synergies between Tesla and xAI, enhancing Tesla's capabilities in the AI sector [2] Group 3: Future Growth Initiatives - Tesla confirmed the production timeline for the Optimus Humanoid robot and is ramping up production for the Tesla Semi and Cybercab, with preparations ongoing for a launch in the first half of 2026 [7][8] - The company is expanding its robotaxi fleet, which has driven 650,000 miles since June 2025, and plans to enter seven additional markets in the first half of 2026 [9][10] Group 4: Market Positioning - Investors are shifting focus from Tesla's slowing legacy EV business to emerging sectors such as physical AI, energy, and a broad ecosystem of products, similar to Apple's strategy with its devices and services [12][13] - Tesla's strong cash reserve of over $40 billion provides a solid foundation to support its transition and upcoming product launches [16][17]