Rumored Exynos 2400 chipset specifications revealed
Samsung Electronics Unveils High-Performance PC SSD New Level Gaming
Introducing The First 12nm-Class DDR5 DRAM From Samsung Electronics
Qualcomm has certified Samsung’s LPDDR5X DRAM for use in Snapdragon processors
The EUV: breakthrough in memory technology
The most recent invention is ready for prime time, and it will significantly alter how electronics appear and work. Extreme Ultraviolet (EUV) lithography is the technique that makes it all possible. Higher performance in smaller sizes is becoming more important as memory-based technology advances in our data-driven environment. Samsung has pioneered EUV advanced processing to overcome DRAM scaling limits and to lead the next generation of memory manufacture.Â
Technology’s limits are being pushed
Samsung was the first in the industry to use manufacturing know-how to successfully apply EUV processing to DRAM manufacture, and it has been mass-producing specialised EUV-applied products. In EUV processes, Samsung has the upper hand. Because of its outstanding semiconductor manufacturing technology and knowledge, it was one of the first in the industry to effectively use EUV processing to DRAM manufacture. Samsung has already begun mass-producing select EUV-applicated items and is planning to expand its capacity in the near future.
Compact sizes are more powerful
In comparison to the old 193nm wavelength, the EUV advanced processing technology uses a precise wavelength of 13.5nm. This permits the memory to store more capacity in the same amount of space and size, allowing it to satisfy future needs for high-capacity Non Volatile Memory.
Here’s the distinction. While DUV lithography utilises wavelengths of 193nm, EUV lithography employs wavelengths of 13.5nm, which is a significant improvement. As a result, finer circuitry may be drawn, allowing more data to be stored on the same surface area. More logical gates may be packed into a single chip when the circuitry is finer. As a result, those chips become more powerful and energy-efficient. When EUV is employed, the surface area of a chip is utilised considerably more efficiently, thus it’s no surprise that many in the industry are racing to develop the technology for their own fabrication lines.
Processing and productivity have improved
Single pattern, which uses modern processing technology, improves precision and reduces processing time as compared to multi-patterning, which uses a longer wavelength. When compared to earlier processing methods, this significantly improves wafer manufacturing efficiency.
Step-by-step Multi patterning |
Seamless-one-step Single patterning |
The memory market is quite competitive. However, there are no new steps that can be implemented quickly that will genuinely shake up the sector. As a result, it’s critical to get ready now for tomorrow. EUV lithography has a bright future for DRAM, but it’s Deep Ultraviolet (DUV) lithography that’s now in use. For current semiconductor generations, DUV works well.
You can rely on our quality
Samsung established confidence by preventing faults through manufacturing know-how based on the EUV logic process, and by progressively integrating EUV advanced technologies to increase quality early on.
For both quality and technology, the manufacture of EUV applied DRAM products has garnered international customer confidence and reputation. Look about you and you’ll almost certainly come across some form of technology that links to a larger network of devices. Indeed, the rise of IoT, AI, and 5G has necessitated modifications in the way DRAM is produced. Memory currently requires finer processing, and the EUV process’s highly fine ultraviolet light is exactly what the industry requires to develop DRAM solutions that will be extensively deployed in the future years.
A significant step forward in the future
Samsung changes the DRAM industry’s paradigm with industry-leading processing technologies that led to a new range of DRAM products. This never-say-die attitude cleared the way for the next generation of memory devices.
This is a trip, and we haven’t yet arrived at our destination. Samsung is aware of this and is working to correct any flaws now so that it can be ready for the future. The firm has a roadmap that outlines how it plans to expand the adoption of EUV-based DRAM products.
Samsung has released a smart all-in-one fingerprint security IC for biometric payment cards
increased security capabilities offered by Samsung’s exclusive fingerprint authentication algorithm and anti-spoofing technology, the new security IC solution integrates a fingerprint sensor, Secure Element, and Secure Processor into one chip.
The new circuit Embedded Security is the industry’s first all-in-one security chip solution that reads biometric information via a fingerprint sensor, stores and authenticates, attracts encrypted data with a tamper-proof OS, and scans and processes data with a secure processor Three key functions integrated into a single chip, the S3B512C can help card manufacturers reduce the number of chips needed and optimize card design processes for biometric payment cards. integrated security, biometric payment cards will enable faster and more secure interactions during purchases. that eliminates the need for the ability to enter a PIN on a keypad and also prevents fraudulent transactions made with lost or stolen cards as it verifies identities using a unique and securely stored fingerprint.
Its solution’s encrypted fingerprint data is kept in a SE that has been certified by EMVCo and CC EAL 6+, two widely recognised security standards. The new IC has a patented fingerprint authentication algorithm and a Secure Processor that extracts and analyses the unique features of the fingerprint put on the sensor to safely and reliably authenticate the user’s identification. Furthermore, the chip’s anti-spoofing technology stops unauthorised users from bypassing the security system by using illegitimate means like fake fingerprints.
Samsung to unveil powerful Exynos 2200 with AMD RDNA 2-based Xclipse GPU
Samsung Electronics, a global expert in innovative semiconductor technology, today unveiled the Exynos 2200, a new premium mobile CPU. The new high-end mobile CPU has hardware-accelerated ray tracing and cutting-edge Arm-based computing. The Samsung Xclipse graphics processing unit is based on the AMD RDNA 2 architecture, while the Exynos 2200 is a newly built mobile CPU (GPU). The Exynos 2200 will offer the greatest mobile phone gaming experience, as well as increasing the overall experience in social networking apps and photography, thanks to the most cutting-edge Arm®-based CPU cores available on the market today and an improved neural processing unit (NPU).
The Exynos 2200 is powered by ARM’s v9 CPU cores and AMD’s RDNA2-based Xclipse GPU.
Exynos 2200 is one of the first on the market to integrate Arm’s latest Armv9 processor cores which offer a substantial improvement over Armv8 in terms of security and performance, the two areas which are becoming of crucial importance in today’s mobile communication devices. The octa-core Exynos 2200 processor is designed in a tricluster structure consisting of a single powerful flagship Arm Cortex®X2 core, three large CortexA710 cores balanced in performance and efficiency, and four small energy-efficient CortexA510 cores. “Tomorrow’s digital experiences demand new levels of performance, security and efficiency,” said Rene Haas, president of Arm’s IP Product Group (IPG).
“As being one of the first processors to include new Armv9 processing cores, Samsung’s Exynos 2200 improves on Arm’s Total Compute philosophy and essential security features like Memory Tagging Extension,” according to Samsung. (MTE), to provide specific processing and specialized skills needed to power future mobile experiences. Exynos 2200 offers more powerful artificial intelligence (AI) for oscillating devices with an improved NPU. NPU performance has doubled compared to its predecessor, allowing more parallel computations and improving AI performance.
The NPU now offers much higher precision with support for FP16 (16-bit floating point) in addition to INT8 (8-bit integer) and INT16 energy-efficient In addition, the Exynos 2200 incorporates a fast 3GPP Release 16 5G modem that supports sub6GHz and mmWave (millimetre wave) spectrum bands. ew, Radio-Dual Connectivity (ENDC), which uses both 4G LTE and 5G NR signals, the modem can boost speed up to 10 Gbps. For security, the Exynos 2200 is equipped with the Integrated Secure Element (iSE) to store private cryptographic keys and play the role of RoT (Root of Trust). Additionally, in-line encryption hardware for UFS and DRAM has been hardened so that user data encryption is securely shared only within the secure domain.
Regarding communication, the Samsung Exynos 2200 is equipped with a fast 3GPP Release 16 5G modem that supports sub6GHz and mmWave spectrum bands. There is EUTRAN New Radio-Dual Connectivity (ENDC) which uses both 4G LTE and 5G NR signals and can increase the speed to 10 Gbps. For security, it also comes with Integrated Secure Element (iSE) to store private cryptographic keys and play an RoT (Root of Trust) role.
The company adds that inline hardware crypto has been created for UFS and hardened DRAM. Samsung said the Exynos 2200 is currently in mass production. Although not explicitly confirmed, this chipset will power the brand’s upcoming flagship Galaxy S22 series smartphones which are set to officially launch on February 8, as well as Snapdragon 8 Gen 1 power.
The First MRAM based In-Memory Computing Demonstration by Samsung
Samsung has remained at the forefront of technological innovation, both in mobile and other electronic devices. This week, the Korean behemoth reaffirmed that reality by becoming the first business in the world to demonstrate a functioning in-memory computing process using MRAM.
The memory (or RAM) of a device, on the other hand, serves the conventional job of temporarily storing bits of data for the CPU to retrieve whenever it needs it. This memory allows for far quicker data transmission with the CPU than a storage drive, but it is also much smaller in size—4GB, 6GB, 8GB, or 16GB depending on your standard computing equipment.
However, there has been a lot of experimentation in the hunt for an efficient and effective in-memory computing solution for years. While other solutions have been established utilising different forms of RAM (such as PRAM or RRAM), MRAM in-memory computing has yet to be prototyped in a workable form, as SamMobile points out. At least until today, when Samsung has succeeded in producing the first prototype.
DRAM is used in modern smartphones and computers; MRAM is a completely different species.
DRAM, or Dynamic Random Access Memory, is the main memory of most of the computing devices we use on a daily basis, such as smartphones and PCs.
This sort of memory is dynamic and volatile, which means that it can only hold data as long as the device is switched on and a current is running through it, and it must be refreshed or overwritten on a regular basis to keep that data.
MRAM, or Magnetoresistive Random Access Memory, on the other hand, is a sort of non-volatile memory that can keep bits of data even when no electric current is flowing through it. Memory is stored using magnetic charges rather than electric charges, as is the case with regular RAM MRAM’s key advantage is its incredibly low power consumption, yet it has had problems integrating with present day technology, such as keeping write error rates low enough. Because of its low resistance, it is also more unfriendly to in-memory computing than DRAM.
MRAM technology, according to Samsung, will truly shine in artificial intelligence processing duties once it is further developed. Samsung’s in-memory computing method picked out individual faces in photos with a 93 percent accuracy rate, and it recognised handwritten numerals with a 98 percent accuracy rate when tested in AI applications.
Dr Seungchul Jung, one of the study’s principal authors, MRAM technology, according to Samsung, will truly shine in artificial intelligence processing duties once it is further developed. Samsung’s in-memory computing method picked out individual faces in photos with a 93 percent accuracy rate, and it recognised handwritten numerals with a 98 percent accuracy rate when tested in AI applications. Dr Seungchul Jung, one of the study’s principal authors, ” says
Samsung trademarks its AI Neural Quantum processor feature on TVs.
Samsung has filed a trademark application for a Neural Quantum Processor for televisions. Possibly a variation of the Neo Quantum Processor, which was recently announced. At CES 2022, Samsung unveiled the slew of new items.
Samsung is still working on a TV processor with artificial intelligence called the Neural Quantum Processor, according to a new trademark application.
Samsung’s Neural Quantum Processor is designed for televisions.
Samsung Electronics registered the name “Neural Quantum Processor” as a trademark in South Korea and the United Kingdom on January 4, 2022. The application is classified as Class 9 and is described as a “chipset for televisions.”
For the time being, no more information is available. It’s unclear whether the Neural Quantum Processor is merely another moniker for the Neo Quantum Processor or whether Samsung is developing a new model.
For the first time in 2019, Samsung released a TV with a Quantum Processor that also employs machine learning technologies to upscale video to 8K resolution. Samsung produced the first Neo QLED TV in 2021. The Neo AI Quantum Processor 8K was also announced at the time. It’s possible that the new Neural Quantum Processor will expand on this.
Despite the fact that Samsung has already shown numerous new TVs at CES 2022, the firm does not appear to have divulged all of the specifications. Samsung, for example, has gotten a 2022 CES Best of Innovation Award for an unofficially announced Samsung 65″ QD-Display TV, according to CNET. It’s the first RGB self-emitting Quantum Dot OLED display in the world. A 2022 Neo Quantum Processor is also included with this Samsung TV. Today or tomorrow, we may hear more about this. The CES event will take place from January 7 to January 7, 2022.