Artificial Intelligence (AI) represents a groundbreaking opportunity in the field of electronics. By enhancing the performance of virtually any application, AI can serve as a key differentiator for products across diverse industries. As the world increasingly relies on intelligent machines, AI is set to play a pivotal role. People will turn to AI not only for basic information and complex analyses but also as tools that augment human creativity.
Despite its immense potential, AI is a complex and rapidly evolving engineering discipline, which can make mastering it a daunting task. Partnering with an experienced collaborator who understands the intricacies of selecting appropriate data sets, tools, software, and hardware components can significantly reduce development time and mitigate risks.
Effective AI implementation requires a balanced integration of hardware and software, along with the right machine learning (ML) algorithms. Avnet Silica brings extensive expertise in implementing machine learning on the edge, in the cloud, and on-premises. We support our customers in understanding and building their AI-based applications, focusing on:
- Computer Vision and Recognition Systems
- Generative AI
- Machine learning (ML)
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- AI focus areas
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Focus Areas
Computer Vision & Recognition Systems
Enable machines to interpret and understand visual information from the real world, mimicking human vision capabilities. Computer Vision & Recognition Systems can identify and classify objects, detect anomalies, and facilitate advanced functionalities like facial recognition, autonomous navigation, and real-time surveillance.
Learn MoreGenerative AI
Generative AI is the processing and preparing of information mostly for human consumption. This includes everything from written content to the voice responses of smart assistants.
Learn MoreMachine Learning
Use Machine Learning to learn from data and improve system performance over time without being explicitly programmed. Analyse vast amounts of data to identify patterns, automate decision-making processes, and enhance various applications to improve system performance or predict hardware failures.
Learn MoreAI/ML and Location, Location, Location
In the last few years, huge leaps in artificial intelligence (AI) and machine learning (ML) technology have enabled the incorporation of ‘intelligence’ in a rapidly growing number of products in applications as diverse as GPT tools, IC layout, and autonomous navigation. The adoption of AI and ML has made such products more powerful, faster, accurate and easier to use.
These examples demonstrate more than just the range of applications that can be aided or enabled by AI/ML. Each also gives a use case of where AI/ML can be deployed – in the cloud, on premise, or at the edge, respectively.
Learn MoreAI and the Question of Processors
As transformative as artificial intelligence (AI) has already been in agriculture, medicine, finance, automotive, and elsewhere, there remain seemingly endless future benefits of AI. With no end in sight for the boom in the AI market, vendors of graphics processors (GPUs), general purpose processors (CPUs), neural processors (NPUs) and other specialized AI processors will be fighting each other for market share for years to come.
No single processor type is likely to emerge as a definitive winner, appropriate for all AI workloads, at least not in the foreseeable future. Each type of processor has advantages and drawbacks. As always in engineering, the tradeoffs will balance out differently for each use case. Avnet Silica can provide expert guidance as customers evaluate which processor type will be best for their specific AI workloads.
Learn MoreParsing AI - Glossary
A good first step toward exploring the adoption of AI technology is gaining familiarity with concepts and the specific engineering terminology associated with them. One of the difficulties with learning about AI is that some of the concepts are interdependent, and terms that aren’t strictly interchangeable can be used for each other. This can streamline verbal communications, but it can be confusing to the uninitiated. Compounding the confusion, any two organisations might have slightly different definitions for any given term.
Our purpose here is to be neither comprehensive nor fully definitive. It is to introduce the uninitiated to some of the most common concepts and terms in AI.
Learn MoreMachines that Learn: A Deep Dive into AI/ML Models and Algorithms
Artificial intelligence (AI) and machine learning (ML) can be used to pull insights out of huge volumes of information quickly and efficiently. AI/ML can also give machines the ability to process information similar to the way humans do.
AI/ML can perform recognition and classification, predictive analytics, natural language understanding, and other tasks that are difficult or impossible to accomplish with traditional computing.
These capabilities lead to an impressive variety of use cases: voice recognition, autonomous driving, epidemiology, pharmaceutical design, software coding, financial trading, and more.
Learn MoreThe Evolution of Generative AI
Generative AI is not new. It has, however, recently taken an enormous leap in what it can do, inspiring no little amazement, as well as a bit of alarm.
A popular candidate as the first generative AI is the first chatbot, ELIZA, introduced in the 1960s, which was trained to respond like a psychologist. The subsequent history of AI research was marked by AI “winters” alternating with periods of resurgence typically coincident with some applicable technological advance, such as the introduction of microprocessors or the formulation of AI techniques such as back-propagation.
Learn MoreFeatured AI Podcasts
Episode 51: Smart Tech Synergy: Unveiling the Future of IoT and AI
We now live in a world where every device communicates, and every data point tells a story. And 2023 definitely will be remembered as the year of Artificial intelligence. Joining us today is David Ly, CEO of Iveda. They provide global solutions for cloud-based video AI search and surveillance technologies. We'll explore how integrating IoT and AI can revolutionize everything from smart cities to telehealth and advanced security systems.
Episode 50: Demystifying AI in IoT: Real-Time Analytics and Beyond
Together with Mohammed Dogar (VP, Global Business Development and Ecosystem), we'll explore the AI Center of Excellence at Renesas, unravel some common misconceptions about AI in the IoT space, and discuss the opportunities in real-time analytics.
We'll also delve into how technology is evolving in areas like voice, vision, and audio analytics, and how engineers can navigate this AI-centric landscape despite not being data scientists.
Episode 45: Emotion in the Machine: Exploring Affective Computing
Today’s special guest is Nina Holzer. She is a researcher from the renowned Fraunhofer Institute for Integrated Circuits IIS and the team lead for 'Multimodal Human Sensing'.
Together, we'll explore the fascinating intersection of human emotions, artificial intelligence, and the future of human-computer interaction. So, tune in as we delve deep into the heartbeats of our machines.
Episode 44: Seeing Beyond the Surface: AI in Defect Visual Inspection
Today, we're diving deep into a technological revolution reshaping the quality control and manufacturing world: AI-based Defect Visual Inspection, or DVI.
With us today is Giovanni Gualdi, the CEO of Deep Vision Consulting, a visionary pushing the boundaries of how we perceive and rectify defects. And Michaël Uyttersprot from Avnet Silica is someone at the forefront of integrating smart solutions into industrial spaces. We will explore the mechanics, use cases, and business models of AI-powered quality control and manufacturing inspections.
Featured AI/ML Products & Solutions
See the AI Knowledge Library
Head over to the AI Knowledge Library to see all of our AI and ML resources in one place. Explore articles, webinars, podcasts and more.
Need AI/ML support?Whether you have an AI/ML question for our team, or you're interested in one of our AI/ML solutions, you can get in touch with our experts here. |
Webinars
On-Demand AI Webinars
Get instant access to a huge library of AI webinars via our DEEP (Digital Event Experience Portal).
Technology
Power - Maximising Performance and Efficiency
AI models and applications require power solutions that are efficient and can maximise performance. Avnet Silica’s experts will help you match technologies aligned with your requirements to deliver the right solution without exceeding your budget
Solution
SPARK - Smart Parking AI RZBoard Kit by Avnet
The Smart Parking AI RZBoard Kit (SPARK) by Avnet is a demo solution aimed at showcasing the link between parking lot management, electric vehicle (EV) charging, and edge AI technology.
AMD
Versal AI Core & Edge Series
Discover the AI Core Series and AI Edge Series, highly integrated, multicore compute platforms that can adapt to evolving and diverse algorithms.
NXP
i.MX93
i.MX 93 applications processors deliver efficient machine learning (ML) acceleration and advanced security with integrated EdgeLock® secure enclave to support energy-efficient edge computing.
Avnet & Qualcomm
QCS6490 Vision-AI Dev Kit
The QCS6490 Vision-AI Dev Kit is a new Avnet Embedded kit. Based on a Qualcomm module, it is a complete solution for energy-efficient, multi-camera, vision applications that feature AI.
NXP
MCX-N Series
The MCX N94x and MCX N54x are based on dual high-performance Arm® Cortex®-M33 cores running up to 150 MHz, with 2MB of Flash with optional full ECC RAM, a DSP co-processor and an integrated proprietary Neural Processing Unit (NPU).
Renesas
Renesas RZ V2L
The RZ/V2L high-end AI MPU integrates Renesas' proprietary dynamically reconfigurable processor AI accelerator (DRP-AI), with Arm® Cortex®-A55 Linux processors, and dual Cortex®-R8 real-time processors.
STMicroelectronics
STM32MP2
ST’s STM32MP2 series microprocessors are designed to be industrial-grade 64-bit solutions for secure Industry 4.0 and advanced edge computing applications that require high-end multimedia capabilities.
Tools
Design Hub
Browse and review over a thousand proven reference designs to accelerate your design process. Try our design tool and then export it to your CAD tool of choice.
Training & Events
Learning for better, faster projects builds
Connect with the Avnet Silica experts who will guide you to reach further with your projects with on-going seminars, workshops, trade shows and online training.
Market
Smart City
Smart City is an opportunity to reimagine our cities with the goal to change our quality of life and to supply clean water and sufficient energy for all citizens in an environmentally sustainable and equitable way. Let's make our cities smart.
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