neuromorphic
15 articles about neuromorphic in AI news
Neuromorphic Computing Patents Surge 401% in 2025, Hits 596 by 2026
Patent filings for neuromorphic computing—hardware that mimics the brain's architecture—surged 401% in 2025, reaching 596 by early 2026. This indicates the technology is transitioning from lab prototypes to commercial products.
Chinese Researchers Develop Bionic Robotic Hand with Neuromorphic AI Skin for Local Sensory Processing
A research team in China has built a lifelike bionic hand integrated with neuromorphic electronic skin that processes tactile data using local AI models, aiming to reduce dependency on biological tissue.
AI Chip Capacity Crisis: 10GW Left Through 2030, Prices Up Double Digits
The AI accelerator market has only 10 gigawatts of capacity left for contract through 2030, with 100GW already under contract. Prices are rising double digits as one competitor has stopped taking orders entirely.
DARPA Leases 50 Nvidia H100 GPUs for Biological AI Program
DARPA's Biological Technologies Office is procuring 50 Nvidia HGX H100 GPU systems for its NODES program, with hardware delivery required within one month. This represents a significant government investment in AI infrastructure for biological research applications.
Anthropic Secures 5GW AWS Compute, $100B+ Deal for Claude Expansion
Anthropic has expanded its deal with Amazon to secure up to 5 gigawatts of compute capacity—equivalent to Microsoft's 2024 global data center footprint—and committed over $100 billion to AWS over the next decade. This infrastructure surge supports Claude's tripled run-rate revenue to over $30B and addresses consumer demand straining its systems.
Google DeepMind Researcher: LLMs Can Never Achieve Consciousness
A Google DeepMind researcher has publicly argued that large language models, by their algorithmic nature, can never become conscious, regardless of scale or time. This stance challenges a core speculative narrative in AI discourse.
Ethan Mollick: Current AI Tooling Is a 'Substitute' for Continual Learning
Ethan Mollick observes that the entire ecosystem of prompts, skill files, and retrieval tools is a patch for AI's inability to learn continually. If solved, this would rapidly obsolete much current tooling.
Compute Constraints Create Double Bind for AI Growth: Ethan Mollick
Ethan Mollick highlights a critical industry bottleneck: compute scarcity forces a trade-off between raising prices/rationing current models and limiting future model training, creating a growth double bind.
US Data Center Power Demand Hits 15 GW, Grid Constraints Emerge
US data center power demand reached 15 gigawatts in 2023, up from 11 GW in 2022. This rapid growth highlights a widening bottleneck: compute infrastructure is scaling faster than power delivery systems can support.
AI Data Center HBM Shortage Intensifies as Samsung, SK Hynix, and Micron Struggle with Supply
AI data centers are aggressively stockpiling high-bandwidth memory (HBM), creating a supply crunch. Only three manufacturers—Samsung, SK Hynix, and Micron—can produce this critical component for AI servers.
Neuroscience Visualization: Time-Lapse Video Shows Lab-Cultured Neurons Forming Connections
A researcher shared a time-lapse video of actual neurons in a lab dish forming new connections. This raw visualization provides a direct, non-AI view of biological computation.
The Coming Compute Surge: How U.S. Labs Are Fueling the Next AI Revolution
Morgan Stanley predicts a major AI breakthrough driven by unprecedented computing power increases at U.S. national laboratories. This infrastructure expansion could accelerate AI capabilities beyond current limitations.
Beyond RAG: How AI Memory Systems Are Creating Truly Adaptive Agents
AI development is shifting from static retrieval systems to dynamic memory architectures that enable continual learning. This evolution from RAG to agent memory represents a fundamental change in how AI systems accumulate and utilize knowledge over time.
DeepSeek's Blackwell Training Exposes Critical Gaps in US Chip Export Controls
Chinese AI startup DeepSeek reportedly trained its latest model on Nvidia's restricted Blackwell chips, challenging US export controls. The development reveals significant loopholes in semiconductor restrictions amid escalating AI competition.
NVIDIA's AI Dominance Reaches Critical Mass: How the Chip Giant Redefined Competition
NVIDIA has achieved unprecedented market dominance in AI hardware, effectively neutralizing competitors through technological superiority, ecosystem control, and strategic positioning. This consolidation raises questions about innovation pace and market health.