Artificial Intelligence (AI) is no longer confined to data centers. Today, AI is widely used and implemented in edge devices, smartphones, and embedded systems. This has been made possible through hardware and software acceleration methods that work together within embedded systems. It’s now feasible to run small machine-learning models on low-power, resource-constrained microcontroller units without…
What are AI chips and why are they important?
Artificial Intelligence (AI) has undergone rapid advancements in recent years. This progress has led to unique computational requirements for modern AI systems, which traditional CPUs and GPUs cannot fully address. Initially, GPUs offered a solution for running AI models. However, as algorithms and applications have grown more complex, particularly in areas like deep neural networks,…
What are the top edge AI chips of 2025?
Edge AI refers to deploying artificial intelligence (AI) algorithms and models directly on local devices like sensors, smartphones, or Internet-of-Things (IoT) devices. This approach includes edge computing, which processes data closer to where it’s generated rather than sending it to a centralized Cloud for analysis. According to a report by Gartner, by the end of…
What top AI chips are expected to launch in 2025?
Artificial intelligence (AI) chips have become essential for powering various advanced device features, especially in smartphones. A few AI examples related to a phone’s camera include: Adjusting camera settings for optimal results Applying filters in real-time while capturing photos or videos Tracking moving objects in real-time, keeping them focused for the shot Identifying scenes in…
What are the different types of AI ASICs?
In the previous article, we discussed the different types of AI chips. Among these, ASICs play a significant role. Compared to GPUs, ASICs are faster and more power-efficient, thanks to their customized architectures designed for specific AI tasks or algorithms. One common misconception about AI ASICs is that they’re used solely for inference applications. However,…
What are the types of AI chips and how are they classified?
The demand for artificial Intelligence (AI) chips is increasing due to their suitability in certain AI applications. This development mirrors the rise of Graphic Processing Units (GPUs) for 3D applications years ago. However, traditional CPUs and even GPUs often fall short in handling the unique demands of AI workloads, prompting the emergence of AI-specific chips.…
The top chatbots for microcontrollers and embedded systems
ChatGTP, a language-based chatbot developed by OpenAI, has gained a lot of use and attention since its release in 2022. Since then, it and other chatbots — programs designed to mimic human language and conversation — have become increasingly common, used for providing content creation, marketing, programming, research, entertainment, customer service, and much more. Embedded…
How Neuralink is providing a breakthrough in human-computer interface
Neuralink, Elon Musk’s brain chip company, has made history. Following FDA approval, the neurotechnology company conducted its first human trial in January 2024. The company’s first human test subject, Noland Arbaugh, received the brain-computer chip implanted successfully. A 2016 diving accident left Noland paraplegic from the shoulders down. However, the Neuralink chip is giving him movement.…
Intel Core 14th Gen desktop processors now available
Intel has officially launched the new Intel Core 14th Generation desktop processor family, led by the Intel Core i9-14900K. This latest-generation desktop processor family includes six new unlocked desktop processors, delivering up to 24 cores and 32 threads and up to 6 GHz of frequency right out of the box. Additionally, the Intel Core i7-14700K…
Infineon opens laboratory for quantum electronics and power AI
Infineon Technologies has opened a new laboratory for the development of quantum electronics in Oberhaching near Munich. The objective is to develop and test microelectronic circuits for quantum computers, which will be stable and small, will operate reliably and can be produced on an industrial scale. Approximately 20 researchers will work at the lab. In…
Intel launches industry’s first AI PC Acceleration program
Building on the AI PC use cases shared at Innovation 2023, Intel has launched the AI PC Acceleration program, a global innovation initiative designed to accelerate the pace of AI development across the PC industry. The program aims to connect independent hardware vendors (IHVs) and independent software vendors (ISVs) with Intel resources that include AI…
Harwin’s 1.25mm pitch Gecko connectors are a success
Harwin announces that its high-reliability Gecko connectors, which have been integrated into a research nanosatellite, have been successfully launched and ejected into low Earth orbit (LEO), and, after the deployment of its subsystems, remain fully operational. Momentus, the U.S. commercial space company, recently announced that all customer payloads had been deployed from its Vigoride-6 Orbital Service…
NVIDIA and Tata Group to build large-scale AI infrastructure
NVIDIA announced an extensive collaboration with Tata Group to deliver AI computing infrastructure and platforms for developing AI solutions. The collaboration will bring state-of-the-art AI capabilities within reach to thousands of organizations, businesses, AI researchers, and hundreds of startups in India. The companies will work together to build an AI supercomputer powered by the next-generation NVIDIA GH200…
AMD unveils new fintech accelerator card
AMD announced the AMD Alveo UL3524 accelerator card, a new fintech accelerator designed for ultra-low latency electronic trading applications. Already deployed by leading trading firms and enabling multiple solution partner offerings, the Alveo UL3524 provides proprietary traders, market makers, hedge funds, brokerages, and exchanges with a state-of-the-art FPGA platform for electronic trading at nanosecond (ns) speed.…
Qualcomm launches new XR and AR platforms with immersive experiences
Qualcomm Technologies has announced two new spatial computing platforms — Snapdragon XR2 Gen 2 and Snapdragon AR1 Gen 1 — which will enable the next generation of mixed reality (MR), virtual reality (VR) devices, and smart glasses. Snapdragon XR2 Gen 2 Platform: brings premium MR and VR technology into a single-chip architecture to unlock next-level…
Keysight advances automated testing for mobile apps
Keysight Technologies has released Eggplant Test 7.0, an enhanced version of the automated software test solution with powerful integrations that enable quality-assurance (QA) teams to test mobile apps on multiple devices and operating systems simultaneously. Mobile apps have become a ubiquitous part of modern digital life, facilitating everything from e-commerce and digital health to home…
How to install and run Auto-GPT on Raspberry Pi
ChatGPT, a language model-based chatbot, has been popular since its launch in November 2022 by OpenAI. Currently, it has more than 100 million users. The platform generated 1.6 billion visits in June 2023 alone. The AI chatbot offers several applications, such as language translation, summarization, and content generation. However, it’s not a perfect substitute for…
Qualcomm partnering with Meta to enable on-device AI applications
Qualcomm Technologies and Meta are working to optimize the execution of Meta’s Llama 2 large language models directly on-device — without relying on the sole use of cloud services. The ability to run generative AI models like Llama 2 on devices such as smartphones, PCs, VR/AR headsets, and vehicles allows developers to save on cloud…
Is Sanskrit an ideal language for knowledge representation in AI?
It’s been suggested for decades that Sanskrit might be the ideal language for knowledge representation in artificial intelligence (AI). This is because of Skaskrit’s rule-heavy and formula-based syntax, which makes it a logical and excellent choice for writing algorithms. But is this true? Let’s investigate. Origin The claims that Sanskrit is one of the best…
MLCommons benchmark results showcase Intel AI gains
MLCommons has published results of its industry AI performance benchmark, MLPerf Training 3.0, in which both the Habana Gaudi 2 deep-learning accelerator and the 4th Gen Intel Xeon Scalable processor delivered impressive training results. “The latest MLPerf results published by MLCommons validates the TCO value Intel Xeon processors and Intel Gaudi deep learning accelerators provide…