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The month-long program has two levels that developers need to complete for a chance to win VIP passes to Microsoft’s upcoming AI Tour

Microsoft announced the launch of an initiative that aims to skill 100,000 developers in India in the latest AI technologies and tools. The program offers comprehensive learning experience that helps developers acquire and demonstrate the relevant skills needed to execute critical projects using AI technologies that align with business goals and outcomes. With AI revolutionizing the way we work and live, India needs a skilled workforce that can use AI to solve complex problems and create value. Through programs like AI Odyssey, Microsoft is offering opportunities for developers to build solutions for India’s growth and showcase their talent to solve real-world problems. To participate in the AI Odyssey, developers need to register on aka.ms/AIOdyssey and access the learning modules and resources. The month-long program is open to all AI enthusiasts in India, regardless of experience level or background. The program has two levels that participants need to complete by January 31, 2024. The first level of the program educates participants on how to use Azure AI services to create and deploy AI solutions for different scenarios. This will give them access to useful resources, code samples, and guides to master practical AI skills.

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The second level of the program challenges participants to prove their AI skills by completing an online assessment with interactive lab tasks that earns them Microsoft Applied Skills credentials, a new verifiable credential that validates their ability to solve real world problems with AI. Participants completing both the levels of challenges will also stand a chance to win a VIP Pass to attend the Microsoft AI Tour in Bangalore on February 8, 2024, and witness the revolutionary impact of generative AI. The AI Tour is a one-of-a-kind event that showcases how generative AI can enable new forms of creativity, collaboration, and problem-solving. The tour features keynote sessions, demos, and workshops, where developers can learn from Microsoft experts and partners, as well as network with peers.

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Irina Ghose, managing director, Microsoft India, said, “AI is the future of innovation and India is leading the way with its tech talent. The Microsoft Applied Skills credential will help developers demonstrate their competence and creativity in the most in-demand AI skills and scenarios. We welcome all developers to join us in creating meaningful AI solutions that will contribute to India’s economy.”

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[To share your insights with us, please write to sghosh@martechseries.com]

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STACK’s proven design supports the next generation of data centers and their artificial intelligence workload requirements

STACK Infrastructure (“STACK”), the digital infrastructure partner to the world’s most innovative companies and a leading global developer and operator of data centers, positions itself as the premier developer for the future era of data centers, leveraging its established AI-Ready capabilities built upon STACK’s proven, customizable design. With a history of supporting high-density workloads, STACK reinforces its position as a pioneering partner to the world’s foremost technology providers.

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In the rapidly evolving landscape of technology, characterized by generational advancements in AI, the demand for data center capacity capable of accommodating high-density workloads is reaching unprecedented levels. A prime example is OpenAI’s ChatGPT, the generative AI chatbot launched just over a year ago and, within two months, became the fastest-growing consumer application in history. With such remarkable growth of AI and other machine learning applications, STACK’s cutting-edge data center solutions and its extensive portfolio of powered land holdings have become even more crucial to today’s technology companies. Purposefully crafted to meet the escalating high-density requirements of clients, STACK’s resources are positioned at the forefront of innovation.

“STACK was built for the world’s largest innovators, and from the beginning, we have prioritized the long-term scalability of our clients with a flexible data center design,” said Matt VanderZanden, Chief Operating Officer of STACK Americas. “As an AI-Ready digital infrastructure company with a proven track record of high-density deployments, STACK is building upon this foundation to continually address evolving client needs.”

STACK achieves optimal cooling for high-density AI workloads through its closed-loop water cooling systems, offering flexibility to meet diverse cooling requirements including customizable solutions that can support up to 30kW per rack with traditional air cooling; up to 50kW per rack with rear door heat exchangers; up to 100kW per rack with direct-to-chip liquid cooling; and up to and exceeding 300+kW per rack with immersion cooling in the future. STACK’s extensive portfolio of operating data centers, all designed based on cost-efficient and proven models, exemplifies its ability to swiftly deliver gigawatts of scale, coupled with expertise in cooling systems enabling greater and greater deployment densities, and affirms STACK as the ideal data center developer for sustained growth in the age of AI.

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STACK’s global footprint of campuses spans major data center markets across the Americas, EMEA, and APAC, offering a vast powered land portfolio, sustainable building solutions, and high-density cooling optionality for the next generation of AI-Ready data centers. With 2.5+GW built or under development and an additional 4.0+GW of planned and potential development, STACK strategically supports the hyperscale requirements and groundbreaking initiatives of leading global technology firms through the development of AI-Ready campus developments including:

• A planned five-building data center campus offering 250MW of scale in Central Phoenix with a dedicated on-site substation.
• A 48MW Santa Clara data center, featuring immediately available shell space powered by an onsite substation with rare contracted capacity.
• A 56MW Toronto campus, spanning 19 acres, includes an existing 8MW data center and 48MW expansion capacity, all supported by committed power.
• A 48MW build-to-suit opportunity in the Dallas/Fort-Worth area, boasting abundant power and connectivity options.
• A 200MW campus in Portland spanning 55 acres with 96MW currently available for leasing.
• A New Albany, Ohio 58MW data center campus with immediately available capacity and build-to-suit expansion opportunities.
• A strategically located data center campus in Osaka, Japan with 72MW of capacity across three planned buildings.
• A 36MW facility delivered in Australia, launching a 72MW campus in Melbourne, one of the fastest growing markets in Asia Pacific.
• A 30MW data center campus in Stockholm with 18MW under development.

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 [To share your insights with us, please write to sghosh@martechseries.com] 

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DEEPX, a leading original AI chip company, is thrilled to announce its participation in the esteemed global IT and electronics exhibition, CES 2024, taking place in Las Vegas, USA, from January 9 to 12. DEEPX, under the guidance of its CEO, Lokwon Kim, will showcase the future of ultra-low power on-device AI solutions through innovative AI chips.

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To discover DEEPX’s ultra-low power AI chip solutions, visit Booth #8953, North Hall, at CES 2024.

CES 2024 is poised to be a pivotal year for on-device AI, with industry giants such as Intel and Qualcomm set to deliver keynote speeches and engage in discussions on the transformative potential of AI. DEEPX is proud to contribute to this dialogue by unveiling its ‘All-in-4 AI Total Solution’ at CES, comprised of four groundbreaking products complemented by a real-time technology demonstration that enables on-device AI.

Notably, DEEPX CEO Lokwon Kim has been invited to join global luminaries from the AI hardware and semiconductor sectors to discuss AI hardware, semiconductor technologies and market trends. The talk, “The Hard Part of AI: Hardware and Chips,” will take place on Wednesday, January 10, from 9:00 am to 9:40 am local time at the Las Vegas Convention Center, North Hall N250. The conversation will explore the global adoption of on-device machine vision and edge AI, market demand for hardware and on-device solutions to democratize generative AI, innovative AI chips and technology convergence, and industry challenges and opportunities.

A recent Gartner report from 2023 underscores the growing significance of AI-driven computer vision and edge AI markets, highlighting their potential to shape the future. In particular, on-device AI, excluding edge servers, requires AI capabilities to be implemented, bypassing servers or the cloud. The market is expanding due to computer vision capabilities like facial recognition, voice recognition, and photo editing in various devices, including smart mobility and robotics, the Internet of Things, and physical security systems.

McKinsey predicts the global smart mobility market will hit $1.5 trillion by 2030. A Grand View Research report forecasts the global smart home appliance market will soar to $58.51 billion in 2030. Furthermore, the global camera module market is expected to reach $60.44 billion by the same year. Cameras and sensor-based modules such as radar, lidar, and ultrasound also require real-time AI computational processing. Thus, the demand for AI chips implementing computer vision is likely to be massive.

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Nonetheless, the realization of large-scale AI edge devices has been challenging due to the limitations imposed by battery-powered, on-device environments, which often need more cooling technology and hardware resources. To overcome these hurdles, DEEPX has pioneered low-power, high-performance AI chip source technologies, including INT8 model compression and efficient memory utilization that minimizes DRAM and cache memory, achieving unparalleled power-to-performance ratios.

A noteworthy development in on-device AI is the integration of Large Language Models (LLMs), facilitating functions such as chatbots, translation, summarization, writing, and coding. This shift is driven by the imperatives of data privacy, real-time processing, reduction in cost and power consumption, and the diversification of edge device applications. While the market for AI PCs and on-device hardware running generative AI models is nascent, lightweight, and advanced generative AI models that cater to users’ evolving needs are poised to emerge soon.

CEO Lokwon Kim remarked, “This marks our inaugural participation in CES 2024, and we are delighted to unveil our independently developed technology through an exclusive booth. It is an honor to receive three CES Innovation Awards and be selected to participate in the CES Panel Talk event as a representative of an AI chip company. DEEPX is dedicated to democratizing AI, making it accessible to all corners of the globe. We have successfully delivered our first semiconductor prototypes to global customers and are preparing for mass production and widespread adoption. In the foreseeable future, DEEPX’s AI chips will usher in remarkable changes in our lives and society, driving innovations in smart mobility, robotics, autonomous vehicles, physical security systems, and factory automation.”

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 [To share your insights with us, please write to sghosh@martechseries.com] 

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Expedera NPU IP adds native support for LLMs, including stable diffusion

Expedera, Inc, a leading provider of customizable Neural Processing Unit (NPU) semiconductor intellectual property (IP), announced that its Origin NPUs now support generative AI on edge devices. Specifically designed to handle both classic AI and Generative AI workloads efficiently and cost-effectively, Origin NPUs offer native support for large language models (LLMs), including stable diffusion. In a recent performance study using the open-source foundational LLM, Llama-2 7B by Meta AI, Origin IP demonstrated performance and accuracy on par with cloud platforms while achieving the energy efficiency necessary for edge and battery-powered applications.

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LLMs bring a new level of natural language processing and understanding capabilities, making them versatile tools for enhancing communication, automation, and data analysis tasks. They unlock new capabilities in chatbots, content generation, language translation, sentiment analysis, text summarization, question-answering systems, and personalized recommendations. Due to their large model size and the extensive processing required, most LLM-based applications have been confined to the cloud. However, many OEMs want to reduce reliance on costly, overburdened data centers by deploying LLMs at the edge. Additionally, running LMM-based applications on edge devices improves reliability, reduces latency, and provides a better user experience.

“Edge AI designs require a careful balance of performance, power consumption, area, and latency,” said Da Chuang, co-founder and CEO of Expedera. “Our architecture enables us to customize an NPU solution for a customer’s use cases, including native support for their specific neural network models such as LLMs. Because of this, Origin IP solutions are extremely power-efficient and almost always outperform competitive or in-house solutions.”

Expedera’s patented packet-based NPU architecture eliminates the memory sharing, security, and area penalty issues that conventional layer-based and tiled AI accelerator engines face. The architecture is scalable to meet performance needs from the smallest edge nodes to smartphones to automobiles. Origin NPUs deliver up to 128 TOPS per core with sustained utilization averaging 80%—compared to the 20-40% industry norm—avoiding dark silicon waste.

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[To share your insights with us, please write to sghosh@martechseries.com]

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Syntiant Corp., a leader in edge AI deployment, announced results of its first optimizations that reduce the computational footprint of leading large language model (LLM) architectures, enabling these massive neural networks to run on cloud-free, always-on devices at the edge of networks.

“We are focused on making edge AI a reality, bringing low power, highly accurate intelligence to edge devices,” said Kurt Busch, CEO at Syntiant. “Our core model optimizations enable considerable processing time acceleration across a range of compute platforms. Those same optimizations, which Syntiant has deployed across millions of devices worldwide, have been successfully applied to LLMs, bringing conversational speech to the edge, serving as the new interface between humans and machines.”

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Syntiant used a novel algorithm to determine the sparsity fraction of LLMs to generate significant speedups in output token generation and reduce memory footprint. The company achieved 50% sparsity with minimal accuracy loss when computing with 8- bit quantized weights, significantly improving interpretability and processing power, while reducing cloud costs. These improvements, along with a custom SIMD (single instruction/multiple data) kernel and several other algorithmic innovations, enable Syntiant to achieve a 50% increase in output token generation speed on a LLaMa-7B benchmark.

“Syntiant continues to lead the category of low power NLP with production-ready solutions that directly address voice AI workload efficiency and could enable smarter conversational endpoints with generative AI. At M12, Microsoft’s Venture Fund, we’re proud to back Syntiant who we feel will help establish a ‘first mile’ standard for future speech-to-speech AI use cases,” said Michael Stewart, partner at M12.

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Demoed live at CES 2024 in Las Vegas, Syntiant’s optimizations demonstrate an adjacent class of LLMs that run entirely at the edge. The ability to enable significant processing time acceleration brings meaningful benefits to end users from both latency and privacy perspectives, across a wide variety of consumer and commercial use cases, from earbuds to automobiles.

[To share your insights with us, please write to sghosh@martechseries.com]

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In their infancy, NFTs have suffered mightily from both misconceptions about the technology behind them and manipulation by fraudsters and hackers. Issues have arisen because many people, including creators, rushed to treat them as monetized cryptocurrency projects, tradable assets, and get-rich-fast investments. The more thoughtful, functional opportunities possible with them have often been overshadowed by hype, speculation, speed, and greed.

That’s finally starting to change — and it isn’t because brands made them collectibles or high-end coupons. It’s because evolving technical capabilities are steadily improving NFT functionality.

It’s still true that an NFT refers to an asset, most often an image, tokenized with a unique digital signature recorded on a decentralized, immutable blockchain like the Ethereum network. This signature on a distributed blockchain ledger, across thousands of computers worldwide, ensures that the NFT’s existence and transfer can be verified with an extremely high level of certainty — without relying on a central authority like a bank or broker. That’s well and good, but the public has largely remained unable to see this in practice, translate what it means, or find relevant applications to their lives and work.

With the emergence of programmable NFTs in 2023, we can now directly embed content and executable programs inside an NFT, which creates a significant difference in how we experience them, their utility, and even the jobs they can perform for us. My team’s new Immutable Miniverse Format (IMF), for example, immutably encodes — and can encrypt — tailored messages, games, music, binaries, and interactive experiences within an NFT, visualized as a string of secret code in motion. Importantly, this self-contained “miniverse” is embedded as part of the NFT artwork — without the technology burden of maintaining Web3 access points when being used on traditional social media.

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The Next Level with Generative AI

Fusing NFT art and programming code in a self-contained way is a significant development.

Programmable NFTs can be leveraged for work and play, shared on today’s social media platforms (Web2) and even serve as the building blocks of a kind of “app store” for Web3 and a more decentralized economy, comparable to today’s mobile phone apps. Additionally, the use cases in everyone’s mind involve generative AI technologies.

For good reason: the ultimate NFT utility may be the capacity to tokenize intelligence in a decentralized and immutable fashion.

Here, we’re not talking about using generative AI to churn out NFT art, rather the focus is on integrating LLM chat capabilities into programmable NFTs and ultimately empowering owners to program and mint their own NFTs to do this. My team is enabling NFT holders to have a private conversation with and within their NFT about the domain and knowledge embedded inside their NFT’s miniverse. This means leveraging a customized, fine-tuned version of an LLM, while not subjecting any input to third-party services that could opaquely use the data or violate privacy — a criticism leveled at OpenAI and others in a typical centralized GPT setting.

In fact, if you’re maximizing the strengths of both technologies, NFTs and gen AI, then:

• The embedded information on which an LLM conversation is based should be immutable, individualized, and decentralized.
• The conversation with such embedded information must preserve privacy. It does not need to reference any public GPT services.
• NFT creators must be committed to decentralized AI on Web3. Future iterations should and will allow a user to run their LLM model locally on the user’s own computer.

The protection of privacy possible with NFTs is a differentiator compared with using generative AI in a web application. A criticism of ChatGPT, BARD, and similar systems is that input from a user becomes data consumed by the generative AI, including proprietary input, and that can ultimately become available to other users. A generative tool like Microsoft’s Copilot stores input data, while assurances are made that it isn’t used for training large language models.

Still, the concern is that the power of massive data and its control becomes centralized even more by the hyperscaler giants of computing and the few smaller companies they back.

Blockchain’s fundamental decentralization and distribution means that generative AI NFTs can offer an alternative to that system of big data control.

Additionally, AI, as with mobile now, can leverage edge computing, not centralized cloud services.

Long-term Uses of Programmable NFTs in Life and Business

The viability of a technology depends on its ability to solve real problems and to create new possibilities and experiences beneficial to humanity and the world. Right now, we’re seeing a tremendous blooming of new uses for generative AI. When sharing information or when interaction needs to be secure, private, and impervious to short- or long-term systems failure or third-party dependency, the integration of NFTs and AI will prove especially handy.

In the personal realm, consider how you might preserve and interact with family history and important private documentation shared among family members over the long term, without pieces of that being scattered or permanently lost. Some families have members who live across the world and with whom they want to share information. Most people have family members dear to them who have passed away or will do so. Imagine an interactive record of your grandparents’ lives — one that you can have a conversation with. Imagine documenting family events from yesterday, five years ago, or fifty years ago that are less likely to be lost to time in a decentralized system. With programmable, AI-capable NFTs, you and your specified family members can own the assets with the data, the knowledge, the documents, and the interactive capabilities, as long as you have an internet connection. Digital existence and private access are distributed and not dependent on permission granted by a central authority or third party.

The same principles hold true for business uses.

Consider proprietary documentation, blueprints, and even trade secrets that need to be shared among specific engineers across a global workforce or from an older generation to a newer one within a company.

With an NFT, you could securely encrypt documentation, share it with an intended party, and, with generative AI capabilities, enable them to ask questions of it — even, in a sense, converse with engineers retired or long gone. Questions and answers about the documentation can instantly be translated into other languages.

Because NFTs are immutable and recorded permanently in a distributed public registry, impervious to deletion or third-party tampering, their potential for authenticating products and verifying lineage in the supply chain has often been noted.

Adding a layer of interactive inquiry with embedded generative AI makes this business use case even more exciting.

A programmable NFT or immutable “miniverse” with generative AI functionality is a new frontier in interactive, customized applications for personal and business use that truly puts ownership in individual hands. It’s time to lift NFTs out of the abyss of financial speculation and esoteric understanding and put the spotlight on their technical capabilities — which can make them useful for everyone.

[To share your insights with us, please write to sghosh@martechseries.com]

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Visionary.ai neural network software ISP for enhanced camera applications and ENOT.ai neural network optimization tools and AI assistance now available for Ceva’s NeuPro-M NPU

Ceva, Inc. the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and efficiently, announced that it has expanded the AI ecosystem for its class-leading NeuPro-M NPU IP with the addition of two new partnerships targeting automotive and vision-based Edge AI applications.

Ran Snir, Vice President and General Manager of the Vision Business Unit at Ceva, remarked: “I would like to extend a warm welcome to Visionary.ai and ENOT.ai, who join the ecosystem of partners that support our Smart Edge customer base. These partners are bringing new levels of innovation to solve complex challenges using AI, and illustrate the value proposition of our NeuPro-M NPU to enable scalable AI workloads on-device with highest power efficiency.”

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Visionary.ai

Visionary.ai empowers cameras to capture video in extreme low-light and HDR scenarios, with results that surpass human vision. Traditionally, low light and nighttime video has been one of the greatest imaging challenges, often resulting in dark, grainy, and unclear video. This new technology changes the game, enabling cameras to deliver unparalleled low-light performance. The technology can be deployed on the NeuPro-M NPU to enhance multiple Edge AI vision applications for a range of markets, including mobile, PC, IoT, robotics, automotive, security, smart cities, and medical imaging.

Oren Debbi, CEO of Visionary.ai. stated: “At Visionary.ai, we have managed to surpass human vision in extreme low-light conditions by harnessing the incredible power of AI. Through partnerships with leading Edge AI NPU companies like Ceva, we can bring this technology to a global audience, improving safety and functionality of vision-based Smart Edge devices by making the unseen seen.”

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ENOT.ai

ENOT.ai specializes in neural network optimization, revolutionizing autonomous driving and Advanced Driver-Assistance Systems (ADAS). The collaboration combines Ceva’s NeuPro-M NPU with ENOT.ai’s revolutionary AI assistant technology, aimed at enhancing automotive safety, efficiency, and driver experience. Key features of this collaboration include an AI assistant that provides real-time lane departure warning, pedestrian detection, and voice instructions for vehicle operation, enhancing safety for new drivers and personalizing settings for an optimized driving experience.  This partnership promises to set new standards in AI-driven automotive solutions, focusing on intuitive driver assistance, vehicle efficiency, and intelligent edge computing capabilities.

David Rapoport, CRO at ENOT.ai, commented: “Ceva’s strong relationships within the automotive ecosystem and their AI NPU with industry-leading efficiency perfectly complement our AI automotive roadmap. This partnership exemplifies our mission to integrate AI seamlessly into everyday life, expanding role of the AI assistant in the automotive cockpit.”

Ceva’s NeuPro-M NPU IP addresses the processing needs of Classic and Generative AI with industry-leading performance and power efficiency for AI inferencing workloads. The NeuPro-M architecture is highly versatile and future proof thanks to an integrated VPU (Vector Processing Unit), supporting any future network layer, and offers high scalability with four NPUs – the NPM11, NPM12, NPM14, and NPM18 to suite any AI workload.

Demonstrations at CES 2024

At CES 2024 in Las Vegas Jan 9 – 12, 2024, Ceva together with Visionary.ai and ENOT.ai will showcase the AI-ISP and automotive AI assistant solutions at the Ceva private meeting suite at the Westgate Hotel. To experience these demonstrations, contact the Ceva events team and book an appointment.

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[To share your insights with us, please write to sghosh@martechseries.com]

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