Year: 2025
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Pulsar Adds Hardware to Innatera’s Neuromorphic AI Base
Innatera’s Pulsar is a low-power, RISC-V microcontroller leveraging spiking neural networks (SNNs) for efficient sensor-data processing.
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Ceva Boosts NeuPro-M NPU Throughput and Efficiency
Ceva has revised its NeuPro-M AI accelerator (NPU), introducing a configuration with more multiply-accumulate units (MACs) and updating the architecture to enhance real-world throughput and power efficiency. The NeuPro-M scales from a single-engine design integrating 4,096 eight-bit MACs to an eight-engine configuration with 64K eight-bit MACs. For even greater performance, licensees of the NeuPro-M design…
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GlobalFoundries to Acquire MIPS
Semiconductor manufacturer GlobalFoundries has agreed to acquire RISC-V supplier MIPS, an unexpected pairing of nonoverlapping businesses. The companies have withheld the price, indicating it is immaterial to the acquirer. MIPS will retain autonomy after the acquisition and still serve customers of other foundries. The deal solidifies MIPS’s status as a going concern, trading its venture-capital…
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Esperanto Technologies Exits AI Chips
Esperanto is seeking a buyer or licensor for its low-power AI processor design and component technologies such as RISC-V cores and SRAM cells. Founded in 2014, its first-gen chip was architected for a different era.
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Intel Auto Business Runs Out of Gas
Intel is shuttering its automotive business as it focuses on its core computing and manufacturing operations. The company has been a long-time supplier to the auto industry, albeit with waxing and waning enthusiasm. Independently managed, Altera and Mobileye are unaffected by this decision. When Intel addresses computing-adjacent markets, its initial strategy is to sell what…
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Microsoft’s Maia NPU Slips
Microsoft’s next-gen [there was a first gen?] proprietary AI accelerator (NPU) is falling behind schedule, according to various sites citing The Information. Called Maia or Braga, the in-house design would reduce the company’s reliance on Nvidia and could be more cost- and power-efficient. Whereas Google has deployed several generations of its TPU AI accelerator and…