Applied Materials

Generating, collecting, and analyzing enterprise data will never be the same.

Edge Computing

Syntiant offers edge-focused deep learning solutions via a combination of specialized processor architecture, an edge-optimized data platform, and a training pipeline for always-on edge AI applications. Syntiant’s “Neural Decision” neural network processors (NDPs) combine low power with high performance to support edge AI applications across a wide range of consumer and industrial use cases, such as earbuds, wearables, smartphones, smart speakers, laptops, automobiles, and internet-of-things (IoT).The company claims that its NDPs typically offer more than 100x efficiency improvement while providing a greater than 10x increase in throughput compared to other low-power MCU-based solutions. As of March 2022, the company reported that it had over 50 customer engagements.Key customers and partnershipsAs of March 2022, the company reported that it had over 50 customer engagements in smart electronic devices, automobiles, and IoT.Syntiant has partnered with several companies to launch industry-focused solutions. It partnered with Renesas Electronics to develop a voice-controlled multimodal solution for image processing in vision AI-based IoT and edge systems (July 2021), with CeramicSpeed to develop low-power autonomous sensors for Industrial IoT applications (January 2022) and with Eatron Technologies to deliver an AI-Ready battery management system (November 2022). Syntiant has also partnered with Tekro to grow its sales in South Korea (August 2021) .Funding and financialsIn March 2022, Syntiant <a href="https://sp-edge.com/updates/9397">raised USD 55 million in new funding </a>to invest in enhancing software capabilities and accelerating deployment of the company’s third-generation Syntiant Core 3 architecture (which was expected to launch in 2023).

Electrifying passenger and commercial travel

EV Economy

<div>
 
 SolidEnergy Systems (SES) is a lithium-metal battery developer and manufacturer of battery cells for EVs. SES hybrid Li-metal batteries replace the graphite anode with lithium-metal to improve energy density (to around 400 Wh/kg). SES also uses a hybrid electrolyte&mdash;the battery has a solid protective coating on the lithium-metal anode and a liquid in the cathode, unlike some solid-state batteries (Solid Power and QuantumScape) that are all-solid and free of any liquid. The company&rsquo;s battery is expected to enable a longer driving range (around 500&ndash;600 miles) and is also capable of reaching an 80% charge in under 15 minutes. In 2021, SES was the first company to introduce 100Ah Li-metal cells, globally.
 
 
 SES&rsquo; large format Li-metal EV and eVTOL cells known as &ldquo;Apollo&rdquo; can be customized for different OEM requests. As such, the company has begun pilot-scale manufacturing of 50Ah to 100Ah Li-Metal cells with GM, Hyundai, and Honda at their Shanghai (China) and Chungju (Korea) battery manufacturing facilities. The company aims to commercialize its batteries by 2025. SES 
 <a href="https://investors.ses.ai/news/news-details/2023/SES-to-Host-Battery-World-2023-and-Announce-Worlds-First-Automotive-B-sample-JDA-for-Li-Metal/default.aspx">
 expects
 </a>
 to establish the world&rsquo;s first B-sample Joint Development Agreement (JDA) with an automotive OEM in December 2023.
 
 
 &nbsp;
 Funding and financials
 
 
 In February 2023, SES received an undisclosed amount of cash grants from the South Korean Central Government. Prior to this in April 2021, the company raised USD 139 million in a Series D funding round led by General Motors, while in July 2021, it raised USD 100 million from Hyundai.&nbsp;
 
 
 SES was listed on NYSE through a SPAC merger in February 2022. The deal raised USD 275 million at a valuation of USD 3.6 billion. The proceeds were to be used to accelerate growth and fund key development initiatives.&nbsp;
 
 
 
</div>

Reinventing how computers think based on biological neural networks

Neuromorphic Computing

Syntiant is a deep learning chip technology company founded in 2017 and headquartered in Irvine, California. The company specializes in developing ultra-low-power, high-performance deep neural network processors called Neural Decision Processors (NDPs) for edge AI applications. Syntiant's technology combines deep learning with semiconductor design to enable AI functionality in battery-powered devices without relying on cloud connections.
Syntiant's NDPs are designed to execute deep neural networks natively on various topologies, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and fully connected networks. The company's chips typically offer 100x efficiency improvement and a 10x increase in throughput compared to traditional low-power microcontroller-based solutions. This allows for larger networks at significantly lower power consumption, extending battery life and reducing infrastructure costs.
The company's product lineup includes the NDP100, NDP101, NDP200, and NDP115 processors. The NDP200, built on the Syntiant Core 2 architecture, provides 25 times the tensor throughput of the Syntiant Core 1 found in the NDP100. The latest NDP115, introduced at CES 2023, is designed for ultra-power and size-constrained applications, capable of running speech inferences at 280 microwatts.
Syntiant has achieved significant milestones in its short history. By January 2021, the company had shipped over 10 million of its NDP100 and NDP101 processors. This number increased to more than 20 million processors shipped by March 2022. As of May 2023, Syntiant has expanded its offerings to include hardware-agnostic deep learning computer vision models that can be deployed on various platforms, including the Renesas RZ/V2L microprocessor.
Key customers and partnerships
Syntiant's technology has found applications across various industries and devices. The company's Neural Decision Processors are being used in earbuds, wearables, smartphones, smart speakers, laptops, vehicles, and other IoT consumer and industrial use cases.
Syntiant has established partnerships with several prominent companies in the tech industry. In July 2021, Syntiant announced a collaboration with Renesas Electronics Corporation for a voice-controlled multimodal solution combining Renesas' RZ/V Series MPUs and Syntiant's NDP120 Neural Decision Processor. This partnership aims to enable low-power contactless operation for image processing in vision AI-based IoT and edge systems.
The company has also worked with Infineon Technologies, signing a smart microphone reference design agreement in 2018. This collaboration aimed to complement Syntiant's NDPs with Infineon's high-performance microphone technology.

A new generation of building blocks for emerging tech

Next-gen Semiconductors

Syntiant Corp., founded in 2017 and headquartered in Irvine, California, is a leader in delivering end-to-end deep learning solutions for edge AI applications. The company specializes in developing ultra-low-power, high-performance neural decision processors that enable always-on voice, audio, sensor, and vision applications across various consumer and industrial use cases. Syntiant's technology combines deep learning with semiconductor design to produce Neural Decision Processors (NDPs) that can run multiple neural networks concurrently at extremely low power levels.
The company's flagship products include the NDP series, such as the NDP200, which is designed for always-on edge AI vision applications and can run multiple independent networks concurrently at powers less than 2mW. Syntiant's processors are capable of executing deep neural networks natively on various architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and fully connected networks. The company's solutions typically offer more than 100x efficiency improvement and a 10x increase in throughput compared to current low-power MCU-based alternatives.
Syntiant's technology is applicable to a wide range of devices, including earbuds, wearables, smartphones, smart speakers, laptops, automobiles, and other IoT consumer and industrial applications. The company's processors enable edge devices to hear, speak, see, and feel, bringing cloud-free advanced machine learning solutions to the edge of the network. This allows for mission-critical and time-sensitive decisions to be made faster, more reliably, and with greater security.
As of March 2022, Syntiant had shipped over 20 million of its Neural Decision Processors. The company continues to innovate, with plans to introduce its third-generation Syntiant Core 3 architecture in the future.
Key customers and partnerships
Syntiant has established partnerships with several prominent companies in the technology industry. In July 2021, Syntiant announced a collaboration with Renesas Electronics Corporation for a voice-controlled multimodal solution combining Renesas' RZ/V Series MPUs and Syntiant's NDP120 Neural Decision Processor. This partnership aims to enable low-power contactless operation for image processing in vision AI-based IoT and edge systems.

SolidEnergy manufactures rechargeable cells at a pilot scale for prototype demonstration and specialized aerospace markets.  But their real future lies in the materials they supply—anodes and electrolyte—for mainstream markets such as consumer electronics and electric vehicles. They supply these to large Li-ion cell manufacturers to be integrated with a separator and cathode into full cells which can be customized for different applications including drones, consumer electronics, and electric vehicles. Because their anode and electrolyte materials are compatible with existing Li-ion cell manufacturing processes, they can achieve scalability by using existing infrastructure. This eliminates the need for costly infrastructure investment. It’s all part of their open ecosystem. It means a more seamless end-user experience, faster prototyping, and no limits to growth.

Syntiant is moving artificial intelligence and machine learning from the cloud to edge devices. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors for always-on applications in battery-powered devices, such as smartphones, smart speakers, earbuds, hearing aids, and laptops.

Applied Materials specialize in materials engineering solutions. They optimize equipment and fab operations through consulting, spare parts, services, and automation software. They also provide supply chain services from transactional spares through programs, rebuilds, and forecasted parts management. Their products and technologies include semiconductors, displays, roll web coating, solar, and automation software.

<div> Applied Materials, Inc. (Nasdaq: AMAT) is a global leader in materials engineering solutions for the semiconductor, display and related industries. Founded in 1967 and headquartered in Santa Clara, California, Applied Materials develops and manufactures equipment, services and software used in the production of virtually every new chip and advanced display worldwide. Applied Materials operates through three main segments: <ul> <li> Semiconductor Systems: Provides manufacturing equipment used to fabricate semiconductor chips, including deposition, etching, ion implantation, rapid thermal processing, chemical mechanical planarization, metrology and inspection tools. This is the company's largest segment, accounting for 71% of revenue in Q2 2021. </li> </ul> <ul> <li> Applied Global Services: Offers integrated solutions to optimize equipment and fab performance, including spares, upgrades, remanufactured equipment, and factory automation software. This segment made up 22% of revenue in Q2 2021. </li> </ul> <ul> <li> Display and Adjacent Markets: Provides manufacturing solutions for LCD, OLED and other display technologies used in TVs, computers, mobile devices and other consumer electronics. This segment contributed 7% of revenue in Q2 2021. </li> </ul> Applied Materials has benefited from rising demand for semiconductors and displays, particularly advanced chips for artificial intelligence and internet of Things applications. In fiscal Q2 2024, the company reported revenue of USD 6.65 billion and adjusted earnings per share of USD 2.09, exceeding analyst expectations. China has become Applied Materials' largest geographic market, accounting for 43% of sales in Q2 2024. The company is investing USD 400 million over four years to establish a new collaborative engineering center in Bengaluru, India to accelerate innovation and expand its global footprint. </div>

Why Semiconductor Stocks Micron, Applied Materials, and KLA Corporation Plunged Today

Companies that develop low-power, high-performance semiconductors for sensors, wearables, and other connected devices.

Companies that develop semiconductors that can support high-bandwidth and low-latency requirements of 5G networks and other wireless communication technologies.

Companies that develop semiconductors that focus on automotive applications such as advanced driver assistance systems (ADAS) and autonomous driving as well as in-car entertainment and communication systems.

Companies that develop semiconductors to improve the performance of data center infrastructure.

Companies developing semiconductors for other emerging tech applications, including quantum and edge computing.

Technologies bringing about a new reality

Extended Reality

ANALYST_QUICK_TAKE

INCUMBENTS_PRESENT

PROMINENT_CATEGORY

<div>
 TCL subsidiary, RayNeo has teamed up with Qualcomm and Applied Materials to manufacture its new generation of AR glasses, announced at CES 2024. Using Qualcomm's Snapdragon AR1 Gen 1 Platform and Applied Materials' full-color waveguides, the AR glasses aim to offer high-quality images and AI capabilities. The company also highlights that Applied Materials' technology will enable the AR glasses to be lightweight and thin, thus enhancing the product design.
</div> Analyst QuickTake: TCL announced <a href="https://sp-edge.com/updates/25279"> earlier </a> this week at CES that Qualcomm’s Snapdragon XRGen 1 platform will power its RayNeo X2 and X2 Lite AR glasses. Similar to TCL, many manufacturers will likely implement Qualcomm’s new top-of-the-line chips this year in launching XR devices, given its market leading position.&nbsp;

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