application-specific integrated circuit
PulseAugur coverage of application-specific integrated circuit — every cluster mentioning application-specific integrated circuit across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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OpenAI and Broadcom unveil Jalapeño AI inference chip · 10 sources tracked
OpenAI and Broadcom have unveiled Jalapeño, their first jointly-developed AI inference processor. This custom chip is designed to run large language models more efficiently, promising better performance per watt than cu…
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NeuronFabric architecture enables on-chip transformer training
Researchers have introduced NeuronFabric, a software reference architecture designed for on-chip transformer training using local Adam updates. A C# prototype demonstrates the feasibility of this approach, handling forw…
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New ITP-STDP engine slashes SNN training energy use
Researchers have developed a new learning engine called ITP-STDP for training spiking neural networks (SNNs) that significantly reduces hardware resource utilization and energy consumption. This novel approach optimizes…
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Australian Business Register data aids investigations but lacks ownership details
The Australian Business Register (ABR), managed by the Australian Taxation Office, provides an 11-digit identifier (ABN) for various entities, including companies, charities, and sole traders. This register is crucial f…
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China redesigns AI chip industry amid US export curbs
China's AI chip industry is undergoing a significant redesign in response to US export controls, pushing domestic companies to explore alternatives to Nvidia's dominant GPUs. Major players like Huawei and Cambricon are …
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Deep learning model predicts Bitcoin mining hardware ROI
Researchers have developed MineROI-Net, a deep learning framework using a Transformer architecture to predict the profitability of Bitcoin mining hardware purchases. The model classifies acquisition timing into profitab…
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AI industry pivots to token economics, focusing on inference computing centers
The AI industry is shifting its focus from model parameters to computational efficiency, with "token economics" emerging as a new value unit. This transition is driving demand for "token factories" – intelligent computi…
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Australian regulators warn financial sector on AI cybersecurity risks
Australia's financial regulator, ASIC, has urged the financial services industry to bolster its cybersecurity defenses. The commission highlighted that advanced AI models like Mythos present new and significant cyber ri…
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Astera Labs launches Scorpio X, an open AI fabric switch challenging Nvidia's NVSwitch
Astera Labs has introduced the Scorpio X, a new AI fabric switch designed as an alternative to Nvidia's NVSwitch. This ASIC offers 320 lanes of PCIe 6.0 connectivity and 5.12 TB/s of bidirectional bandwidth, aiming to p…
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Mastodon users criticize energy consumption of AI hardware
The user is expressing frustration about the energy consumption associated with specialized hardware, drawing a parallel to the cryptocurrency industry. They note that ASICs have largely replaced GPUs in certain applica…
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Next-gen chips promise data centers greater efficiency and AI power
Next-generation chip designs, including those optimized for AI, energy efficiency, and heat tolerance, have the potential to significantly alter data center infrastructure. Innovations in packaging, memory, and offload …
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IT coders shift focus to MCUs, FPGAs, and ASICs to reduce AI system power consumption.
IT professionals, previously focused on high-level programming languages like JavaScript and Python, are now showing increased interest in hardware-level computing concepts such as microcontrollers (MCU), field-programm…