#chipdesign

[adafruit]

OOOh, some hot new chips just dropped into our mailbox - ESP32-P4! 🔥🚀

Espressif's latest chip has a snazzy eval board, and we just snagged a couple for CircuitPython development. The P4 is a RISC V dual core 400MHz processor with CSI/DSI support, USB HS, and Ethernet too. This chip doesn't have BLE or WiFi like all the other ESP chips. Instead, it uses a low-cost ESP32-C5 module as a wireless co-processor. The eval board is sorta shaped like a Raspberry Pi and has various A/V connections. We also got 100 sample chips of the 16MB in-package PSRAM variety, so we can start designing our first board. Shall we do a Feather? a Metro? maybe a Pi Zero-shaped thingy?

[amrresearchstudy]

🔊Get Research Study on AI Chip Market

On September 4th, we announced our research study AI chip refers to a specialized integrated circuit tailored for efficient and fast execution of AI tasks. These chips are purposefully crafted to expedite intricate algorithmic calculations, crucial for various AI applications. They harness parallel processing abilities, unique neural network architectures, and optimized memory structures to achieve remarkable performance improvements compared to general-purpose processors.

How did the AI 'IMPACTING“ Semiconductor Industry ?

The artificial intelligence chip market size is segmented into Chip Type, Processing Type, Technology, Application and Industry Vertical. 

Who are the Top Contributing Corporations?

Major Key Players:

MediaTek Inc,

Qualcomm Technologies Inc.,

Advanced Micro Devices Inc.(Xilinx Inc.),

Alphabet Inc.,

Intel Corporation,

NVIDIA Corporation (Mellanox Technologies),

Samsung Electronics Co Ltd,

Baidu,

SoftBank Corp.

According to the insights of the CXOs of Leading Companies Simply Click here or email us at help@alliedmarketresearch.com with the following for more information:

Increased demand for artificial intelligence chips

AI chip market is seen as promising for the technological industry's future

Investments in AI start-ups and the development of quantum computers

Today and Be a Vital Part of Our Thriving Community!

Great! Follow the steps below:

Reblog this post

Share this information with a friend

Follow @amrresearchstudy for more information.

[thecioconnect]

Google's AlphaChip and Meta's Llama 3.2 Signal Major Shifts in AI Strategies

Google and Meta update their AI strategies: Google launches AlphaChip for faster chip design and Gemini 1.5 model improvements, while Meta releases Llama 3.2 with powerful LLMs optimized for vision, edge, and mobile.

[kiaktuell]

SoftBank übernimmt britischen KI-Chiphersteller

Die Nachricht schlug ein wie eine Bombe: SoftBank, der japanische Technologieriese, hat den britischen KI-Chiphersteller Graphcore übernommen. Diese Übernahme könnte die Landschaft der Künstlichen Intelligenz (KI) und der Halbleiterindustrie nachhaltig verändern. Doch was bedeutet das für die Branche, die beteiligten Unternehmen und die Technologie selbst? Ein strategischer Schachzug SoftBank ist…

[govindhtech]

ParityQC, NXP, and EleQtron Unveil quantum computer demo

NXP, eleQtron, and ParityQC produced the first ion-trap quantum  computer demonstrator. The QSea collaboration of the DLR Quantum Computing Initiative (DLR QCI) NXP Semiconductors, eleQtron, and ParityQC unveiled the first German-made full-stack, ion-trap-based quantum  computer demonstrator.

It will give companies and research teams early access to quantum computing resources and help them use it in climate modelling, global logistics, and materials sciences. Hamburg’s latest quantum computer demonstrator strengthens its technology and research leadership in Germany.

Understanding quantum computing’s capabilities is necessary to solve complex problems with it. By developing a quantum computing ecosystem where economy, industry, and science collaborate to maximize this new technology, the DLR QCI intends to build the necessary capabilities.

Quantum computers’ incredible computational capacity will solve complicated problems like weather modelling, drug creation, and logistics optimization, changing cybersecurity. Although quantum computers have advanced rapidly in recent years, industrialization is difficult since the sector lacks relevant skills.

NXP, eleQtron, ParityQC

The first German ion-trap-based quantum  computer demonstrator was developed and built by NXP, eleQtron, and ParityQC using quantum computing, software, and industrial expertise. It uses eleQtron’s MAGIC hardware, ParityQC architecture, NXP chip design, and a digital twin. As the QSea he demonstration becomes a quantum  computer with modular architecture, scalable design, and error correction, innovation, design, and implementation will accelerate. The next phase of QSea will focus on making the quantum computer more powerful and industry-ready.

The DLR QCI Innovation Centre in Hamburg hosts the demonstration for industrial partners and DLR research teams. The three companies and DLR QCI hope to boost Germany’s superior quantum computing ecosystem with this collaboration. This will support Germany and the EU’s strategic objectives to establish digital sovereignty in this key technology field.

The creation of quantum computing is an important milestone in technological advancement, with the potential to totally revolutionize several sectors. ParityQC, eleQtron GmbH, and NXP Semiconductors recently jointly demonstrated a new Quantum Computer Demonstrator. With novel answers to difficult issues that traditional computers find difficult to solve, this ground-breaking discovery is expected to open the door to previously unimaginable computational powers.

An Innovative Collaboration

A strategic alliance combining knowledge in semiconductor manufacturing, quantum technology, and quantum the NXP, eleQtron, ParityQC cooperation represents computing architecture. As a pioneer in high-performance mixed-signal electronics, NXP Semiconductors brings its expertise to scalable hardware solutions. EleQtron, a premier quantum technology company, contributed cutting-edge qubit manipulation and coherence. ParityQC, known for its cutting-edge quantum  computer architectures, integrates these technologies into a coherent and functional quantum computing system.

Advances in Quantum Technology

More Complex Qubit Manipulation

Every quantum  computer relies on the qubit, the fundamental unit of quantum information. The Quantum Computer Demonstrator was built thanks to eleQtron’s qubit manipulation skills. By performing high-fidelity qubit operations and extending coherence durations, eleQtron has enhanced qubit performance and reliability for real-world applications. This technique helps quantum computers overcome the challenge of maintaining fragile quantum states long enough to perform important computations.

Creative Quantum Architecture

As the provider of the architectural framework that makes efficient quantum computation possible, ParityQC plays a critical role in this collaboration. To scale quantum computers to a point where they can surpass their classical counterparts, ParityQC architecture aims to maximize qubit connection and error correction. The system can handle a wide range of computational tasks with great precision thanks to its architecture, which also makes it easier to construct sophisticated quantum algorithms.

Hardware Solutions That Are Scalable

NXP makes a significant contribution with its strong semiconductor technology, which is necessary to develop hardware platforms that are dependable and scalable. The Quantum Computer Demonstrator can be manufactured at scale without sacrificing performance thanks to NXP’s sophisticated fabrication methods and proficiency integrating intricate circuits. Scalability is essential to bringing quantum computing from lab experiments to mass-market goods.

Utilizations and Consequences

Changing the Industrial Landscape

There are significant ramifications for numerous businesses from the Quantum Computer Demonstrator. Quantum By simulating molecular structures and interactions at unprecedented levels, computers can discover new pharmaceutical drugs and materials. Better optimization algorithms can handle complex datasets faster, improving financial risk assessment and portfolio management. Furthermore, supply chain management and logistics can use quantum computing to tackle complex optimization problems, increasing productivity and cutting costs.

Promoting Scientific Investigation

There is also great promise for scientific research to be advanced by quantum computing. With the use of quantum chemistry, scientists can more accurately simulate intricate chemical interactions, which opens up new avenues for understanding chemical processes and creating innovative materials. Other domains where quantum computers can handle enormous volumes of data to recreate cosmic events or make more accurate climate predictions are astrophysics and climate modelling.

Obstacles and Prospects Getting Past Technical Difficulties

There are still a number of obstacles standing in the way of the general implementation of quantum computing, even with the notable improvements. Error repair is one of the main challenges. Because of decoherence and other quantum processes, quantum computers are very prone to errors. Building dependable quantum systems requires creating effective error-correcting codes and fault-tolerant structures.

Combining Traditional Systems with Integration

Integrating quantum computers with the infrastructure of traditional computing is another difficulty. Soon, it’s probably going to be commonplace to have hybrid systems that make use of both quantum and classical resources. Optimizing the advantages of quantum computing will depend on creating effective algorithms and communication protocols that make this integration possible.

Both Commercialization and Scalability

One major scientific and engineering challenge is scaling up quantum computers to solve real-world, large-scale problems. Even though the Quantum Computer Demonstrator is a positive step in the right direction, further research and development are needed to get the scalability needed for practical applications. Overcoming these obstacles and quickening the commercialization of quantum computing would require cooperation between government, business, and academia.

In conclusion

The introduction of the Quantum Computer Demonstrator by ParityQC, eleQtron, and NXP represents a significant turning point in the development of quantum computing. This partnership combines the best aspects of cutting-edge qubit manipulation, inventive quantum architecture, and state-of-the-art semiconductor technology to provide a scalable and potent quantum computing system. This technology has a wide range of possible uses and might completely transform a number of industries, including finance and medicine.

Unlocking the full potential of quantum computing will require tackling the technical obstacles and promoting cross-sector collaboration. The future is full with possibilities, and this prototype is a big step towards understanding how quantum technology will change the world.

Read more on govindhtech.com

[usnewsper-business]

Big Moves in Stock Market: Intel, Synopsys, and More Drive Digital Transformation and Gaming Innovation #ActivisionBlizzard #aitechnology #artificialintelligencechips #CallofDutygame #china #chipdesign #chipproduction #collaboration #digitaltransformation #electricvehicles #gaming #intel #investment #partnership #premarkettrading #semiconductorindustry #softwarecompany #stockmarketmovements #Synopsys #taiwan #technology #Tesla

[electronicconference]

Very Large Scale Integration

Develop beginner-friendly guides that introduce the basics of VLSI, including its definition, importance, and applications in various industries. Use clear language and visuals to make complex concepts accessible to newcomers.Create in-depth content that explores different VLSI design methodologies, such as RTL design, high-level synthesis, and physical design. Discuss the pros and cons of each approach and provide practical tips for implementation

Visit: electronicmaterialsconference.com

[neutrinojem]

(via "NJ Comic Book Superhero Character with Guns" iPhone Wallet for Sale by NeutrinoJem)

[ngsndr]

In einem Interview hat der angesehene Chipdesigner Jim Keller seine Vorstellungen für KI ausführlich erläutert. Sein Ansatz bewegt sich zwischen ehrgeizigen Visionen und einer realistischen Einschätzung.

In einem seltenen ausführlichen Interview mit dem YouTube-Kanal "Linus Tech Tips" (LTT) hat der CEO von Tenstorrent, Jim Keller, vor allem seine Visionen bezüglich der Auswirkungen von Künstlicher Intelligenz dargelegt. Keller prognostiziert, dass sich die Welt der Computer und damit auch die Medienlandschaft drastisch verändern werden, da nahezu alles von KIs generiert werden wird.

Wenn diese Aussage von jemand anderem käme, könnte man sie vielleicht als Opfer des KI-Hypes einstufen, aber Keller ist kein Unbekannter. Seit Jahrzehnten wird er als einer der talentiertesten Chipentwickler weltweit angesehen. Er zeichnete unter anderem für AMDs K8-Architektur (Athlon 64 etc.), später Zen von AMD (Ryzen, Epyc etc.) sowie Apples erste eigenen SoC A4 und A5 für iPhones verantwortlich – und das ist nur ein Teil seiner Errungenschaften.

Tenstorrent stellt keine direkte Konkurrenz zu Nvidia dar. Seit 2020 ist Keller bei Tenstorrent tätig, einem Unternehmen, das KI- und Risc-V-Chips entwickelt. Anfang 2023 wurde er dort auch zum CEO ernannt. Obwohl seine Äußerungen sicherlich auch eine gewisse Marketingstrategie für Tenstorrent beinhalten, da das Unternehmen schließlich Chips verkaufen möchte, betont Keller in einem realistischen Ton, dass Tenstorrent nicht unmittelbar mit den Giganten der Branche konkurrieren will. Im Interview verneinte er die Vermutung einiger Medien, Tenstorrent sei eine direkte Konkurrenz zu Nvidia: "Ich mache mir um Nvidia keine Sorgen", sagte er.

Auch wenn die gesamte Branche den Blick auf den Marktführer für KI-Beschleuniger richtet, ist das nur ein Teil des Ganzen: Software, trainierte Modelle, Rechenzentren, Infrastruktur – all das macht einen "100-Milliarden-Markt" aus. Diesen Markt möchte er nicht unbedingt bedienen; er wäre bereits mit einem Umsatz von 500 Millionen zufrieden. Für ihn stellt sich die Frage: "Wie können wir Computer kostengünstiger machen und sie gleichzeitig offen gestalten?" Nach Kellers Überzeugung wird letztendlich nur derjenige erfolgreich sein, der die gesamte Wertschöpfungskette beherrscht, angefangen bei Open-Source-Software über offene Chipdesigns bis hin zur Fertigung, um Abhängigkeiten zu reduzieren.

"In 10 Jahren wird niemand mehr Filme schauen" Keller ist davon überzeugt, dass in zehn Jahren – einem Zeitrahmen, den er früher auch schon für den Durchbruch von Risc-V angegeben hat – von KIs generierte Inhalte den Markt dominieren werden. "In zehn Jahren wird niemand mehr Filme schauen, du wirst in einem Film leben", äußerte er sich gegenüber LTT. Es werde möglich sein, einfach seine Lieblingsfigur aus einem Film zu fragen, ob sie einem etwas zeigen könne, und die Figur würde antworten: "Halt die Klappe, ich muss gerade jemanden erschießen." Auf die Frage, wie die bisherige Software auf zukünftigen Computern, die stark auf KI-Beschleunigern basieren, funktionieren werde, gab Keller ein anschauliches Beispiel.

In zehn Jahren werde es möglicherweise nicht mehr notwendig sein, dass alle Software auf allen Plattformen verfügbar ist. Wenn beispielsweise jemand ein altes Spiel spielen möchte, könnte er einfach zum Computer sagen: "Hey, ich möchte Super Mario spielen", das Spiel beschreiben und der Maschine ein Video zeigen. Dann würde die KI das gesamte Spiel emulieren, und "Du wirst damit zufrieden sein", äußerte Keller. Linus Sebastian bezeichnete dies als "gruselig" und äußerte auch, dass er die Anwälte von Nintendo bereits aus der Ferne hören könne. Keller schränkte jedoch später ein, dass kreative Berufe wie die von Autoren, Filmemachern und Malern dennoch bestehen bleiben werden, denn "Menschen mögen Dinge, die von Menschen gemacht wurden."

Während des Gesprächs äußerte Keller zur Frage des vollständigen Ersetzens von Software: "Alle bisher geschriebene Software wird verschwinden." Und fügte hinzu: "Das wird schneller geschehen, als du denkst. Absolut sicher." Sein Unternehmen arbeite bereits heute daran, dass KIs auf den eigenen Tensor-Prozessoren für die RISC-V-Chips, die sie steuern, ihre eigene Software generieren. Dies sei immer dann erforderlich, wenn der Mensch von der Maschine eine neue Funktion haben möchte. Er beschreibe die gewünschte Funktion – wie im Fall von Super Mario – und der Computer erledige den Rest.

Quelle heise.de

[nerdwelt]

Intel erweitert die fortschrittliche Auftragsfertigung um Synopsys IP

Der Chiphersteller Synopsys hat einen Vertrag mit Intel unterzeichnet, um seine technischen Bausteine in die fortschrittliche Fertigung von Intel einzubringen. Laut den Unternehmen umfasst der Deal geistiges Eigentum von Synopsys, das als Standardkomponenten für Chipdesigner verwendet wird, um den Prozess zu beschleunigen. Synopsys wird ein Portfolio von Designs anbieten, die mit Intels…

[korrektheiten]

Chipentwickler Arm leitet Börsengang ein

DWN:»Der Chipdesigner Arm, dessen Technologie in praktisch allen Smartphones steckt, hat den ersten Schritt an die Börse gemacht. Das zum japanischen Technologiekonzern Softbank gehörende Unternehmen reichte den Entwurf eines Börsenprospekts bei der US-Aufsicht SEC ein. http://dlvr.it/SnQ8pQ «

[vlsichaps]

Great efforts

VLSICHAPS:

The first ever authentic Telegram group of VLSI.

The group is more like family. The group generally helps with updates, news, Jobs, quizzes, codes, topics, Conferences, papers, PDFs, class notes, materials, discussion, query solving, research trends, tool suggestions, tool helps, tool reviews or any other help in the field of VLSI. Rather the group has trained dozens of B.Tech. graduates as well as freshers.

Many globally spreaded members are having years of experience and noble intention of helping. http://t.me/vlsichaps

The aim is to create selfless, helping, noble global VLSI community.

#careers #Professional #Jobupdates #fun #investment #meeting #vlsi #vlsichaps #vlsijobs #semiconductors #chipdesign #makeinindia #indian #rtl #chipmunk #rtldesign #designverification #verification #dv #tsmc #chipwar #china #chinawar

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[renovatio06]

Tachyum's Monster 128 Core 5.7GHz 'Universal Processor' Does Everything

Tachyum’s Monster 128 Core 5.7GHz ‘Universal Processor’ Does Everything

A processor that can do HPC, AI, and Machine Learning all on one chip! Source: Tachyum’s Monster 128 Core 5.7GHz ‘Universal Processor’ Does Everything I don’t have another “word” but “Wow!” for this! But see for yourself if happening to be an inclined “wirehead” yourself ��

[usnewsper-business]

Big Moves in Stock Market: Intel, Synopsys, and More Drive Digital Transformation and Gaming Innovation #ActivisionBlizzard #aitechnology #artificialintelligencechips #CallofDutygame #china #chipdesign #chipproduction #collaboration #digitaltransformation #electricvehicles #gaming #intel #investment #partnership #premarkettrading #semiconductorindustry #softwarecompany #stockmarketmovements #Synopsys #taiwan #technology #Tesla

[electronicconference]

semiconductor 

#Semiconductors

#Electronics

#IntegratedCircuits

#Silicon

#Transistors

#Diodes

#SemiconductorIndustry

#ChipDesign

#Nanotechnology

#Microelectronics