Technology is advancing so fast now it is hard to keep up. Here are the most promising tech areas we are considering now!

 

Here are some of the most promising areas of technology from an investment perspective over the next three years:

1. Artificial Intelligence and Machine Learning

• NLP and LLMs: Continued advancements in natural language processing and large language models (like OpenAI's GPT-4) are expected to drive significant value across industries.
• AI in Healthcare: AI-driven diagnostics, personalized medicine, and drug discovery are burgeoning fields with high growth potential.

2. Quantum Computing

• Development and Deployment: Companies like IONQ, D-Wave, and Quantinuum are making strides in developing and commercializing quantum technologies. Their partnerships and applications in various industries could yield substantial returns.

3. Biotechnology

• Gene Editing and Synthetic Biology: Technologies like CRISPR and companies like Ginkgo Bioworks are at the forefront of gene editing and synthNLP,LLMs,healthcare,biotech,biotechnology,synbio,etic biology, offering transformative potential in healthcare and agriculture.
• Cancer Immunotherapy: Innovations from companies like Agenus are pushing forward the boundaries of cancer treatment.

4. Healthcare Technology

• Telehealth and Remote Monitoring: Companies like Teladoc and Philips Healthcare are leading in telehealth, which has seen accelerated adoption due to the pandemic.
• Wearables and Personalized Medicine: Continued development in health monitoring wearables and personalized treatment plans.

5. Clean Energy and Sustainability

• Renewable Energy: Solar, wind, and other renewable energy sources are gaining traction, driven by both regulatory support and advancements in technology.
• Energy Storage and Batteries: Innovations in battery technology and energy storage solutions are critical for the adoption of renewable energy.

6. Cybersecurity

• Advanced Threat Detection: Companies like SentinelOne are developing sophisticated cybersecurity solutions to combat evolving cyber threats, an area of growing importance.

7. 5G and Connectivity

• Network Expansion: The rollout of 5G networks and the development of associated technologies will enable faster and more reliable connectivity, opening new opportunities in IoT and smart cities.

8. Autonomous Vehicles and Advanced Transportation

• Self-Driving Technology: Continued progress in autonomous vehicle technology, supported by advancements from companies like Tesla and Waymo.
• Electric Vehicles (EVs): Increasing adoption of EVs and advancements in related technologies, including battery improvements and charging infrastructure.

9. Fintech and Digital Payments

• Blockchain and Cryptocurrencies: Growing acceptance and integration of blockchain technologies and cryptocurrencies in financial systems.
• Digital Banking: Expansion of digital banking services and fintech solutions that streamline financial operations.

10. Robotics and Automation

• Industrial Automation: Increased automation in manufacturing and logistics driven by companies like UiPath.
• Service Robots: Growth in the use of robots for service applications, including healthcare, retail, and hospitality.

Investing in these areas carries varying degrees of risk and reward, so it's essential to conduct thorough research and consider diversification to mitigate potential risks.

Currently, the most promising area of technology from an investment perspective is Artificial Intelligence and Machine Learning. 

Several factors contribute to its top position:

1. Rapid Advancements and Adoption

• Innovation Pace: AI technologies, particularly in natural language processing (NLP) and machine learning, are advancing rapidly. Developments in large language models (LLMs) like GPT-4 are driving new applications and capabilities.
• Broad Applications: AI is being integrated across various industries, including healthcare, finance, retail, and more. This widespread adoption signifies vast market potential.

2. Transformative Impact

• Healthcare: AI is revolutionizing diagnostics, personalized medicine, drug discovery, and telehealth, significantly impacting patient outcomes and operational efficiencies.
• Business Operations: AI-powered automation and analytics are improving decision-making, optimizing supply chains, and enhancing customer experiences.

3. Investment and Funding

• Venture Capital: AI startups and companies are attracting significant venture capital investments, highlighting confidence in their growth potential.
• Corporate Investment: Major technology companies (e.g., Google, Microsoft, Amazon) are heavily investing in AI research and development, further driving innovation and market expansion.

4. Regulatory and Ethical Focus

• Supportive Policies: Governments and regulatory bodies are increasingly recognizing the importance of AI and are developing frameworks to support its growth while addressing ethical and societal concerns.

5. Talent and Research

• Growing Expertise: The AI field is attracting top talent and fostering cutting-edge research, leading to continuous innovation and new discoveries.

6. Market Projections

• Growth Estimates: Market research projects significant growth in the AI sector, with substantial increases in revenue and adoption rates over the next few years.

Specific Promising Areas within AI:

• NLP and LLMs: Technologies like GPT-4 are setting new benchmarks in human-computer interaction and automation.
• AI in Healthcare: From diagnostics to treatment planning, AI's impact on healthcare is profound and rapidly expanding.
• AI-driven Automation: Tools from companies like UiPath are transforming business processes, driving efficiency, and reducing costs.

While AI stands out as the most promising, it is crucial for investors to stay informed about emerging trends and developments across other high-potential areas, such as quantum computing and biotechnology, to make well-rounded investment decisions.

Quantum computing is near the top of the list of promising technology areas for investment. 

Here’s why it holds a prominent position:

1. Potential for Disruption

• Computational Power: Quantum computers have the potential to solve problems that are currently intractable for classical computers. This could revolutionize fields such as cryptography, material science, and complex system simulations.
• Optimization: Quantum computing offers significant advantages in optimization problems, which can impact industries like logistics, finance, and manufacturing.

2. Growing Ecosystem and Partnerships

• Corporate Involvement: Major tech companies like IBM, Google, and Microsoft are investing heavily in quantum research and development. Startups like IONQ, D-Wave, and Quantinuum are also making significant progress.
• Collaborations: There are increasing collaborations between academia, industry, and government, fostering a robust quantum ecosystem.

3. Significant Investments

• Venture Capital: Quantum computing startups are attracting substantial venture capital investments, indicating confidence in the sector’s potential.
• Government Funding: Governments around the world are recognizing the strategic importance of quantum technology and are investing in national quantum initiatives.

4. Technological Milestones

• Advancements: Continuous breakthroughs are being achieved, such as improvements in qubit coherence times, error correction, and quantum algorithms.
• Commercialization: Companies are starting to offer quantum computing services through cloud platforms, making the technology more accessible to researchers and businesses.

5. Market Projections

• Growth Potential: The market for quantum computing is projected to grow significantly over the next decade, with substantial increases in both hardware and software sales.

Key Areas of Impact:

• Cryptography: Quantum computers could break current encryption methods, leading to new approaches to secure data.
• Drug Discovery: Quantum simulations can significantly accelerate the discovery of new drugs and materials.
• Financial Services: Quantum computing can optimize trading strategies, risk management, and portfolio optimization.

Challenges to Consider:

• Technical Hurdles: Quantum computing is still in its early stages, and there are significant technical challenges to overcome, including error rates and qubit stability.
• Uncertain Timeline: While progress is being made, the timeline for achieving widespread practical quantum computing remains uncertain.

Despite these challenges, the potential impact of quantum computing is so profound that it remains a highly promising area for investment. 

Its position near the top of the list is justified by the transformative possibilities and the rapid advancements being made in the field.

Quantum computing technology will advance Ai tech exponentially in the coming years, and in fact, "exponentially" may be too small a word!

The business partnerships that IONQ has in advancing trapped ion, quantum computing, are a who's who of business and Government and so is their list of investors

Reasons why IONQ is leading the quantum computing race, the burgeoning QCAAS market and the Quantum Ai race!

Why did Tesla purchase 2,000 lidar units from Luminar Technologies? What might they be used for?

 

Tesla has traditionally been averse to using lidar technology in its vehicles, instead favoring camera-based vision systems for its autonomous driving solutions. Elon Musk, the CEO of Tesla, has publicly criticized lidar as being expensive and unnecessary for achieving full autonomy.

However, the context of humanoid robots, specifically Tesla's Optimus project, might present different technical requirements compared to automotive applications. While Tesla's approach for cars has been focused on a vision-based system, the needs for a humanoid robot could potentially include a variety of sensors to navigate complex environments and perform intricate tasks.

Luminar Technologies is a leader in the lidar space, known for its high-performance lidar sensors. If Tesla were to consider lidar for its humanoid robots, Luminar would be a strong candidate due to its advanced technology and reputation in the industry.

Though there's no public indication that Tesla plans to use Luminar's lidar for its humanoid robots, it remains a possibility given the different operational requirements and environments in which these robots might function. Tesla's approach to its robot project could evolve, especially as the company aims to enhance the robot's capabilities and safety.

Tesla's purchase of 2,000 lidar units from Luminar Technologies is intriguing, especially given Elon Musk's previous criticisms of lidar for autonomous vehicles. There are a few potential reasons for this acquisition:

1. Testing and Validation: Tesla might be using lidar units for testing and validating its vision-based autonomous driving system. By comparing lidar data with their camera-based system, Tesla can refine and improve the accuracy and reliability of its autonomous driving algorithms.

2. Research and Development: The lidar units could be part of Tesla's research and development efforts. Tesla is known for exploring various technologies to enhance its products, and having access to lidar data can help in understanding its advantages and limitations in different scenarios.

3. Safety and Redundancy: While Tesla primarily relies on cameras and radar, incorporating lidar could provide an additional layer of safety and redundancy. This can be particularly important in challenging driving conditions where cameras might have limitations, such as in low-light or adverse weather conditions.

4. Regulatory and Compliance: As autonomous driving regulations evolve, there might be requirements or recommendations for additional sensor modalities, including lidar. Tesla's purchase could be a strategic move to ensure compliance with future regulations or to meet specific market demands.

5. New Applications: The lidar units might not be intended for Tesla's vehicles but could be used in other projects, such as the humanoid robot (Optimus) project, factory automation, or other robotics initiatives where lidar technology can be beneficial for navigation and obstacle detection.

While the exact reason for the purchase remains speculative, it highlights Tesla's commitment to exploring and potentially integrating various technologies to enhance its products and maintain its competitive edge.

How can small, retail investors, enter the burgeoning robotics industry that is mostly controlled at present by private companies that are out of their reach?

 

Enovix ($ENVX on Nasdaq) has developed a unique new Li battery that will enhance safety, longevity and higher energy levels

Here are some of the top companies that produce commodities essential for the robotics industry, along with an indication of which might be suitable for small investors to consider:

1. Copper

• Top Companies: Freeport-McMoRan, BHP Group, Southern Copper Corporation
• Small Investor Consideration: Freeport-McMoRan (FCX) - Known for its large-scale mining operations, it's a prominent name with considerable market presence.

2. Steel

• Top Companies: ArcelorMittal, Nippon Steel, China Baowu Steel Group
• Small Investor Consideration: ArcelorMittal (MT) - A global leader in steel production with diversified operations.

3. Lithium

• Top Companies: Albemarle Corporation, SQM, Livent Corporation
• Small Investor Consideration: Albemarle Corporation (ALB) - One of the largest producers of lithium, benefiting from the growing demand for electric vehicles and batteries.

4. GPUs (Graphics Processing Units)

• Top Companies: NVIDIA, AMD, Intel
• Small Investor Consideration: NVIDIA (NVDA) - Leading in high-performance GPUs with strong growth in AI and data centers.

5. Aluminum

• Top Companies: Alcoa Corporation, Rio Tinto, Norsk Hydro
• Small Investor Consideration: Alcoa Corporation (AA) - A key player in the aluminum industry with a strong market position.

6. Rare Earths

• Top Companies: Lynas Rare Earths, MP Materials, China Northern Rare Earth Group High-Tech Co.
• Small Investor Consideration: MP Materials (MP) - A significant rare earth producer in the U.S., benefiting from strategic importance in high-tech industries.

7. Silicon

• Top Companies: Wacker Chemie AG, Hemlock Semiconductor, Dow Corning
• Small Investor Consideration: Wacker Chemie AG - A leading global producer of polysilicon, essential for semiconductors and solar panels.

8. Carbon Fiber

• Top Companies: Toray Industries, Hexcel Corporation, Teijin Limited
• Small Investor Consideration: Hexcel Corporation (HXL) - A leading advanced composites company with a focus on carbon fiber.

9. Kevlar

• Top Companies: DuPont, Teijin Aramid, Kolon Industries
• Small Investor Consideration: DuPont (DD) - Known for its innovation and production of high-strength materials like Kevlar.

10. LiDAR

• Top Companies: Velodyne Lidar, Luminar Technologies, Aeva Technologies
• Small Investor Consideration: Luminar Technologies (LAZR) - An emerging leader in LiDAR technology with significant partnerships in the automotive sector.

11. Advanced Plastics

• Top Companies: BASF, SABIC, Dow Inc.
• Small Investor Consideration: Dow Inc. (DOW) - A major player in the chemicals and advanced plastics sector with a diverse product portfolio.

Several publicly traded companies are involved in the production of robots, robotics, or robot parts.

Notable examples include:

1. Fanuc (FANUY): Specializes in industrial robots for manufacturing, including electrical injection molding machines and automated lasers.
2. UiPath (PATH): Develops robotic process automation (RPA) software to enhance robot efficiency and learning.
3. AeroVironment (AVAV): Produces unmanned aircraft systems used by the military and for research.
4. Amazon (AMZN): Implements autonomous robots in its fulfillment centers.

These companies represent a range of applications from industrial automation to military and commercial use​ (Built In)​.

For small investors, considering companies with established market presence, strong financials, and clear growth potential in the robotics and related sectors is crucial. Companies like NVIDIA, Albemarle, and MP Materials offer a balance of growth potential and relative stability, making them attractive options for investment.

Why did Tesla purchase 2,000 lidar units from Luminar Technologies? What might they be used for?

How to invest in Robots and Robotics going forward, through the back door method!

 

Enovix ($ENVX on Nasdaq) has developed a unique new Li battery that will enhance safety, longevity and higher energy levels

(Forward: Many small investors cannot buy into Tesla directly nor any of the other "private" companies that are poised to charge into the robot industry.  However, there is always a back door!)

The evolution of robots and robotics will rely heavily on a range of raw materials, each contributing to various aspects of robot construction, functionality, and performance. Here are some of the key raw materials expected to be significant:

1. Metals and Alloys:

   • Steel: For structural components due to its strength and durability.
   • Aluminum: Used for lightweight structures, reducing the overall weight of robots.
   • Titanium: Valued for its high strength-to-weight ratio and corrosion resistance.
   • Copper: Essential for electrical wiring and components.

2. Semiconductors:

   • Silicon: Fundamental for electronic circuits, sensors, and microchips.
   • Gallium Arsenide: Used in high-speed electronics and optoelectronic devices.

3. Rare Earth Elements:

   • Neodymium: Critical for powerful permanent magnets used in electric motors and actuators.
   • Dysprosium: Enhances the performance of neodymium magnets, especially at high temperatures.

4. Composites and Polymers:

   • Carbon Fiber: Provides high strength and low weight for structural components.
   • Kevlar: Used for its toughness and resistance to impact and abrasion.
   • High-Performance Plastics: Such as PEEK (polyether ether ketone) and PTFE (polytetrafluoroethylene) for various mechanical and thermal applications.

5. Battery Materials:

   • Lithium: Central to lithium-ion batteries, which power many portable robots.
   • Cobalt, Nickel, and Manganese: Used in battery cathodes to improve energy density and stability.

6. Sensors and Actuators:

   • Piezoelectric Materials: Such as quartz or PZT (lead zirconate titanate) for precise motion control.
   • MEMS (Micro-Electro-Mechanical Systems): Often made from silicon and polymers for sensors and actuators.

7. Optical Materials:

   • Glass and Polymers: For lenses, cameras, and other optical sensors.
   • Silica: Used in fiber optics for communication and data transmission.

8. Conductive and Insulating Materials:

   • Gold and Silver: For high-conductivity electrical connections.
   • Ceramics: Used for insulation and high-temperature applications.

These materials collectively enable the development of more advanced, efficient, and capable robots, pushing the boundaries of what robots can do in various industries, from manufacturing and healthcare to exploration and service applications.

Now, imagine the amount of cars on the planet!  Now quadruple that for the robot revolution!

Now, imagine how much money is pouring in to this market even now, and how much money will be made in the coming years!

Why did Tesla purchase 2,000 lidar units from Luminar Technologies (Nasdaq: $LAZR)? What might they be used for?

How can small, retail investors, enter the burgeoning robotics industry that is mostly controlled at present by private companies that are out of their reach?

A comparison of two leading Lidar technologies - AEVA vs LAZR as the use of Lidar becomes more and more integrated into robotics!

 

Aeva Technologies (AEVA) and Luminar Technologies (LAZR) a Comparison

Aeva Technologies (AEVA)

Key Features:

1. 4D LiDAR on Chip:

   • Aeva's technology integrates all key components, such as transmitters and receivers, onto a silicon photonics chip. This results in a compact module that is easier to manufacture at scale​ (AEVA)​​ (AEVA)​.

2. Instant Velocity Detection:

   • Aeva’s LiDAR can measure the instant velocity of every point on objects beyond 300 meters, providing detailed and precise data​ (AEVA)​.

3. Interference Immunity:

   • Their 4D LiDAR is immune to interference from other sensors and sunlight, and it can see through challenging conditions like dust, fog, rain, and snow​ (AEVA)​​ (AEVA)​.

4. Automotive Grade:

   • Aeva’s LiDAR meets stringent automotive standards, including ISO-26262 for functional safety and ISO-21434 for automotive cybersecurity​ (AEVA)​.

5. Advanced Applications:

   • Their sensors are used in various applications, including autonomous driving, industrial automation, smart infrastructure, and consumer electronics​ (AEVA)​.

Luminar Technologies (LAZR)

Key Features:

1. High-Resolution 3D Perception:

   • Luminar’s LiDAR provides high-resolution 3D perception up to 250 meters, crucial for autonomous driving and advanced driver-assistance systems (ADAS)​ (AEVA)​​ (AEVA)​.

2. Cost and Efficiency:

   • Luminar has focused on reducing the cost and improving the efficiency of their LiDAR systems to make them viable for mass-market adoption in the automotive industry​ (AEVA)​.

3. Integration and Partnerships:

   • Luminar has established significant partnerships with major automotive manufacturers like Volvo and Daimler, aiming to integrate their LiDAR into production vehicles​ (AEVA)​​ (AEVA)​.

4. Performance in Challenging Conditions:

   • Their technology is designed to perform well in various environmental conditions, maintaining accuracy and reliability in scenarios such as bright sunlight and adverse weather​ (AEVA)​.

Comparison

Technology Approach:

• Aeva uses a unique Frequency Modulated Continuous Wave (FMCW) approach that enables the measurement of instant velocity and is integrated onto a chip for scalability and cost-efficiency​ (AEVA)​​ (AEVA)​.
• Luminar focuses on providing high-resolution 3D perception and has been actively reducing costs to facilitate widespread adoption in the automotive market​ (AEVA)​.

Applications and Partnerships:

• Aeva’s technology is versatile, catering to a broad range of applications beyond automotive, including industrial robotics and consumer electronics​ (AEVA)​.
• Luminar has strong automotive industry partnerships and focuses primarily on enhancing autonomous driving and ADAS technologies​ (AEVA)​​ (AEVA)​.

Performance:

• Both companies emphasize performance in challenging conditions, but Aeva's 4D LiDAR offers unique features like freedom from interference and the ability to see through environmental obscurants​ (AEVA)​​ (AEVA)​.
• Luminar ensures high-resolution perception and robustness in bright sunlight and adverse weather, making it suitable for critical automotive applications​ (AEVA)​.

In summary, Aeva and Luminar each bring unique strengths to LiDAR technology, with Aeva focusing on versatile, interference-free 4D perception and Luminar on high-resolution 3D perception and cost-effective integration for the automotive industry.

...

Best for Autonomous Vehicles: Aeva Technologies (AEVA)

Reasons:

1. Instant Velocity Detection:

   • Aeva’s 4D LiDAR technology uniquely measures the instant velocity of objects, providing more precise data for autonomous driving systems to make safer and more informed decisions​ (AEVA)​​ (AEVA)​.

2. Interference Immunity:

   • Aeva’s sensors are immune to interference from other LiDAR systems and sunlight, ensuring reliable performance even in complex driving environments where multiple vehicles might be using LiDAR​ (AEVA)​​ (AEVA)​.

3. Automotive Partnerships:

   • Aeva has significant endorsements and investments from major automotive manufacturers like Porsche SE and Volkswagen Group, indicating strong confidence in their technology for future autonomous vehicle deployments​ (AEVA)​.

4. Automotive Grade Standards:

   • The technology meets automotive-grade reliability and safety standards, including ISO-26262 for functional safety and ISO-21434 for cybersecurity, ensuring it can handle the rigorous demands of autonomous vehicle operations​ (AEVA)

• Note: Colin Rusch of Oppenheimer (5 star rating) currently has a price target of $25 for AEVA's stock. Today's price is $2.28

Best for Robotics: Luminar Technologies (LAZR)

Reasons:

1. High-Resolution 3D Perception:

   • Luminar’s LiDAR provides high-resolution 3D perception, essential for robotic applications that require detailed environmental mapping and object detection to navigate and interact with their surroundings effectively​ (AEVA)​​ (AEVA)​.

2. Cost and Efficiency:

   • Luminar’s focus on reducing costs while maintaining high performance makes their LiDAR solutions more accessible for a wide range of robotic applications, from industrial automation to consumer robotics​ (AEVA)​.

3. Performance in Challenging Conditions:

   • Their technology’s ability to perform accurately in various environmental conditions, including bright sunlight and adverse weather, ensures that robots can operate reliably in diverse settings​ (AEVA)​.

4. Versatile Integration:

   • The ease of integrating Luminar’s LiDAR with different robotic platforms due to its high-resolution and adaptable nature makes it suitable for various robotics applications, from indoor warehouse robots to outdoor autonomous drones​ (AEVA)​​ (AEVA)​.

Note: Tesla recently purchased 2,000 lidar units from LAZR Technologies. 

(Could this be a first order for Tesla's new humanoid robot "Optimus?)

Image by ChatGPT DALL E-3

In summary, Aeva Technologies’ advanced features and automotive-grade reliability make it ideal for autonomous vehicles, 

while Luminar Technologies’ high-resolution perception and cost efficiency are better suited for diverse robotics applications.

Here's why institutional investors are investing in AEVA Technologies at this time and who currently owns the stock!

Pure plays in the race for Quantum Computing technology, IONQ, Quantinuum and D-wave technologies - comparisons!

Aeva, a company specializing in advanced sensing and perception systems, has indeed made significant strides in the robotics and automation markets with its 4D lidar technology.

  

Aeva's technology is recognized for its innovations in Frequency Modulated Continuous Wave (FMCW) lidar, which offers several advantages over traditional Time of Flight (ToF) lidar systems.

Aeva's Position in Robotics and Automation Markets

1. Robotics:

   • Perception and Navigation: Aeva's lidar technology is utilized in robotics for enhanced perception and navigation. The ability to detect objects with high precision and in real-time is crucial for autonomous robots operating in dynamic environments.
   • Industrial Automation: In manufacturing and warehouse automation, Aeva's lidar systems help in object detection, collision avoidance, and spatial mapping, improving the efficiency and safety of automated systems.

2. Automotive Sector:

   • Autonomous Vehicles: Aeva has strong partnerships in the autonomous vehicle industry. Companies like ZF, a global leader in automotive technology, have collaborated with Aeva to integrate its lidar systems into autonomous driving platforms. This adoption highlights the potential for cross-industry applications in robotics and automation.
   • ADAS (Advanced Driver Assistance Systems): Aeva's technology is also employed in advanced driver-assistance systems, offering precise 3D mapping and object detection capabilities.

Superiority of Aeva’s Lidar Technology

Aeva's FMCW lidar technology boasts several key advantages over traditional lidar systems, which make it potentially superior:

1. Velocity Measurement:

   • Unlike traditional ToF lidar, which only measures the distance to objects, Aeva's FMCW lidar can measure the velocity of objects directly. This capability is critical for dynamic environments where understanding the speed and direction of moving objects is essential.

2. Longer Range and Higher Accuracy:

   • Aeva's lidar systems can achieve longer detection ranges with higher accuracy, making them suitable for a wide range of applications from automotive to industrial automation. The extended range improves the safety and reliability of autonomous systems.

3. Interference Immunity:

   • FMCW lidar is less susceptible to interference from other lidar systems and environmental conditions such as sunlight. This robustness enhances the performance and reliability of Aeva's technology in various operational scenarios.

4. Integration and Miniaturization:

   • Aeva's approach to integrating its lidar systems into smaller, more compact form factors without sacrificing performance is beneficial for robotics and other applications where space and weight are critical factors.

Market Adoption and Prospects

Aeva's technology has seen growing adoption across multiple sectors. Their strategic partnerships and continuous innovation position them well in the competitive lidar market. While Aeva's lidar tech is considered superior in many aspects, the market is dynamic, with several companies continuously innovating. The ongoing development and comparative performance in real-world applications will ultimately determine the long-term leadership in the lidar space.

In summary, Aeva does have a foothold in the robotics and automation markets, particularly through its advanced FMCW lidar technology. Its lidar systems are considered superior in several respects, including velocity measurement, range, accuracy, and interference immunity, making them highly attractive for a wide range of applications.

Partnerships

Aeva has established several key partnerships with companies across various industries, particularly in the automotive sector. Some of the notable companies partnering with Aeva Lidar technologies include:

1. ZF Friedrichshafen AG:

   • ZF, a global leader in automotive technology, has partnered with Aeva to integrate its FMCW lidar into ZF’s automotive systems. This collaboration aims to enhance the capabilities of advanced driver assistance systems (ADAS) and enable higher levels of vehicle autonomy.

2. Porsche SE:

   • Porsche SE, the majority owner of Volkswagen Group, has invested in Aeva, highlighting the strategic importance of Aeva’s lidar technology in the future of autonomous driving and advanced automotive applications.

3. Denso Corporation:

   • Denso, a major supplier of automotive components, has invested in Aeva and is exploring the integration of Aeva’s lidar technology into its product offerings to enhance the performance and safety of autonomous vehicles and advanced driver assistance systems.

4. Plus (formerly Plus.ai):

   • Plus, a company focused on autonomous trucking, has collaborated with Aeva to incorporate its lidar technology into Plus’s autonomous driving systems. This partnership aims to improve the safety and efficiency of autonomous trucks on the road.

5. TuSimple:

   • TuSimple, a company developing autonomous driving technology for long-haul trucking, has partnered with Aeva to use its FMCW lidar for better perception and navigation capabilities in their autonomous trucks.

6. Motional:

   • Motional, a joint venture between Hyundai Motor Group and Aptiv, has selected Aeva’s lidar technology for its autonomous vehicle fleet. This partnership is part of Motional’s efforts to deploy safe and reliable autonomous vehicles.

These partnerships reflect Aeva’s strong presence and influence in the automotive sector, particularly in advancing autonomous driving technologies. The collaborations with major automotive and technology companies highlight the industry's recognition of Aeva’s innovative lidar solutions and their potential to significantly enhance the capabilities of autonomous systems.

Discl: trading today in penny stock range, we have been adding to $AEVA shares!

King copper is becoming king again as EVs, Robots, energy storage and other high tech projects make copper a "must have" resource!

 

Here are the top publicly traded copper-producing companies worldwide 

based on their copper production in 2023

1. Freeport-McMoRan (NYSE: FCX): Freeport-McMoRan is the most productive copper mining company globally, recording 2,058,910.28 metric tons (MT) of copper output in 2023. Notably, it operates the Grasberg mine in Indonesia, the second-largest copper mine globally and one of the world’s largest gold mines.

2. BHP (ASX: BHP, NYSE: BHP, LSE: BHP): BHP produced 1,389,022 MT of copper in 2023. The majority of its copper comes from mines in Chile (Escondida and Spence), Peru, and Australia. Escondida is the world’s largest copper mine and a significant contributor to Chile’s economy.

3. Codelco: Although not publicly traded, Codelco is a state-owned Chilean company and the world’s largest copper producer. It operates several major mines, including Chuquicamata, El Teniente, and Radomiro Tomic.

4. Anglo American (LSE: AAL, OTCQX: AAUKF): Anglo American is another significant copper producer with operations in Chile and other countries. Its Los Bronces mine in Chile contributes to its copper production.

5. Glencore (LSE: GLEN, OTC Pink: GLCNF): Glencore is a diversified mining company with copper assets worldwide. While it produces other commodities, its copper operations play a crucial role in its portfolio.

Copper demand is rising due to electric vehicles, renewable energy systems, and electrification, making these companies essential players in the global copper market

In light of the burgeoning growth projections for Robotics, EVs and Energy Storage among other industries, Copper stocks look very promising, and two of them are poised to benefit significantly!

How to invest in Robots and Robotics going forward, through the back door method!

Robots and EVs will require many, advanced batteries Enovix ($ENVX on Nasdaq) has developed a unique new Li battery that will enhance safety, longevity and higher energy levels