CMOS
PulseAugur coverage of CMOS — every cluster mentioning CMOS across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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New OASIS framework slashes in-sensor vision data transmission costs
Researchers have developed OASIS, a novel framework for distributed in-sensor vision that significantly reduces data transmission costs by processing information near the image sensor. This system employs a lightweight …
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New memristive synapse enables online learning in spiking neural networks
Researchers have developed an analog memristive synaptic circuit designed for online learning in spiking neural networks (SNNs). This circuit enables gradual conductance updates directly from pre- and post-synaptic spik…
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New analog readout architecture enhances SNN efficiency
Researchers have developed a novel analog readout architecture for spiking neural networks (SNNs) that utilizes voltage-to-time conversion. This approach aims to improve area and energy efficiency by eliminating the nee…
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New STEMPix sensor detects edge-movement direction in CMOS arrays
Researchers have developed a novel pixel sensor called STEMPix, designed to detect and encode edge-movement direction within CMOS image sensors. This technology aims to provide compact, direction-aware information for s…
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Sony dominates image sensor market, eyeing edge AI control
Sony is strategically leveraging its dominant 50% share of the global image sensor market to control the future of edge AI. The company's mastery of 3D stacked CMOS technology positions it as a key provider for the phys…
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Vision-based tactile sensors questioned for embodied AI due to limitations
A recent analysis questions the viability of vision-based tactile sensors (VBTS) as a foundational technology for embodied AI. The article argues that while popular, VBTS relies heavily on borrowed visual algorithms and…
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AI frameworks advance silicon photonics design and energy-harvesting AI concepts
Researchers have developed PICasso, an AI-enabled framework that uses natural language to design, verify, and optimize silicon photonic integrated circuits. This framework couples LLMs with domain-specific knowledge and…
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SPADs trade pulse detection for reduced noise in LIDAR applications
Researchers have investigated the impact of gate voltage on the pulse detection efficiency of perimeter-gated single-photon avalanche diodes (pg-SPADs). The study found that these diodes, when fabricated using a standar…
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CMOs struggle to link AI visibility to sales impact
Chief Marketing Officers are facing challenges in demonstrating the sales impact of AI-driven visibility. They are struggling to combine various data points to effectively attribute revenue to AI initiatives. This diffi…
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AI data center optical interconnect market to reach $144B by 2030
The AI data center optical interconnect market is projected to surge to $144.4 billion by 2030, a significant increase from $13.7 billion in 2024. This growth is largely attributed to the increasing demand for higher ba…
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AI unlocks HP laptop BIOS, bypassing RSA-2048 security
An AI enthusiast successfully used Claude Code to bypass security measures on an HP laptop's BIOS, unlocking 55 hidden settings. The process involved defeating RSA-2048 signature checks and revealing advanced configurat…
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III-V industry's InP laser supply chain struggles with outdated tech · 2 sources tracked
The III-V industry, which produces Indium Phosphide (InP) lasers, is facing significant supply chain challenges due to its reliance on outdated 2-4 inch wafer production standards. This contrasts sharply with the advanc…
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CMOs must lead AI orchestration in marketing strategies
Chief Marketing Officers (CMOs) need to evolve into leaders of AI orchestration. This involves understanding and integrating AI tools into marketing strategies to enhance efficiency and effectiveness. The role requires …
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Reservoir Computing with Memristors Shows Promise for Branch Prediction
Researchers have developed a novel reservoir computing (RC) framework for branch prediction in pipelined processors, utilizing emerging CMOS memristor devices. This framework, implemented and simulated using System Veri…
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New techniques mitigate retention loss in analog AI hardware
Researchers have developed methods to counteract the accuracy degradation caused by retention loss in analog in-memory computing hardware. By combining circuit-level compensation techniques with algorithmic recalibratio…
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Indonesia drafts AI copyright law to make tech firms pay for content
Indonesia is advancing a draft bill to amend its copyright law, aiming to address the use of copyrighted material by AI and digital platforms. The proposed legislation would require tech companies to compensate media ou…
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Photonic CNN achieves high accuracy and energy efficiency
Researchers have developed a fully photonic convolutional neural network (PCNN) capable of executing image classification tasks entirely within the optical domain. This novel architecture integrates convolution, max-poo…
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Adaptive Model Compression enhances transformer efficiency for edge devices
Researchers have developed Adaptive Model Compression (AMC), a new framework designed to make large transformer models more efficient for use on low-power edge devices. AMC dynamically allocates hardware resources based…
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CMOs report AI marketing tools fail to deliver measurable results
Despite significant investment in AI for marketing tasks like content creation and campaign optimization, many Chief Marketing Officers (CMOs) report a lack of consistent, meaningful business impact. This disconnect ste…
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New SPAD detector design improves direct time-of-flight measurement accuracy
Researchers have developed a new method to improve the accuracy of direct time-of-flight (dToF) measurements by utilizing perimeter-gated single-photon avalanche diode (SPAD) detectors. This technique aims to reduce err…