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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Memory-efficient full-vol" (30 stories)

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Memory-efficient full-volume inference for large-scale 3D dense prediction without performance degradation
Lead StoryNaturegeneral
Jan 3

Memory-efficient full-volume inference for large-scale 3D dense prediction without performance degradation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9xMDhaeUYtb0l2dlV5S1ZQVkU2bjhzOS1SNlJ0aHFRcXFDY2YySGZGbjVkSzJ0ckVjZVVuZlA0MHU0S2pzbEY0S3RwTzl2UHNGTmxCWjYteG9QbFE2RE9r?oc=5" target="_blank">Memory-efficient full-volume inference for large-scale 3D dense prediction without performance degradation</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Memory-efficient full-vol"

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29 stories displayed
The Golden Rule of Big Memory: Persistence Is Not Harmful
Communications of the ACMgeneral

The Golden Rule of Big Memory: Persistence Is Not Harmful

<a href="https://news.google.com/rss/articles/CBMijwFBVV95cUxPaVZncHlyXzRLWnZ0NXJGT1pUMHgxaGJTQkRXb0Jzd0s2a3ctZkd2akhQSEZQME9oUjlid2tBbWo0UTVOaXhTVFN2SzlzdnBUNmlpNE1iTzF5YzJmX0d2QV9SNXNQdWxyVlVwVDBpSlRYVkItNG1nR0xPSlYwR2w2Sl9pcW1jZWxHWDFWeGw4NA?oc=5" target="_blank">The Golden Rule of Big Memory: Persistence Is Not Harmful</a>  <font color="#6f6f6f">Communications of the ACM</font>

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The Next-Generation Memory Architecture in the AI Era? SK hynix Charts the Direction at ‘FMS 2026’
SK hynixtech

The Next-Generation Memory Architecture in the AI Era? SK hynix Charts the Direction at ‘FMS 2026’

<a href="https://news.google.com/rss/articles/CBMiTkFVX3lxTE42OC1DWl83NFJQSENld1pBOExMSVM1cE5kMXpSN0oyWW5rN0QwaHhsUEd0Smc0cVNCZC1NT2p2S2NBSU9kY29VWVNXcWtodw?oc=5" target="_blank">The Next-Generation Memory Architecture in the AI Era? SK hynix Charts the Direction at ‘FMS 2026’</a>  <font color="#6f6f6f">SK hynix</font>

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TurboQuant: Redefining AI efficiency with extreme compression
Google Researchtech

TurboQuant: Redefining AI efficiency with extreme compression

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxPOVRfX0VpeXdvdXctNUtudUk2Z3lYWlNhaVhVdEpGQ1Y0blcyVG9SV3hWVDYtWmpneXcwVkxmMGROc200bDR1UzhKZ3JFN1owbE1fa19JZUhyQWRmZTh0SGp5N2NTVVlpeWFCenFWYTVsaFFIRkhCZUUtU0x4ZUtfTWIzSlZTc0NmeTRDZWVjaXh1LTNn?oc=5" target="_blank">TurboQuant: Redefining AI efficiency with extreme compression</a>  <font color="#6f6f6f">Google Research</font>

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Memory efficient training for 3D brain image registration networks using PatchMorph
Naturetech

Memory efficient training for 3D brain image registration networks using PatchMorph

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE11X1RKS3ExWW9SYXJXVTBjRXd2VlZ0c2s1MXRWWjBjWmlFRUM2WnNnTTlnMFVDb1hxTHpId3BvcmFINjRnTVJjUjZEaVViOFpzMldnTTYzMmZ3R1V6ZVFr?oc=5" target="_blank">Memory efficient training for 3D brain image registration networks using PatchMorph</a>  <font color="#6f6f6f">Nature</font>

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Breaking the memory wall: next-generation artificial intelligence hardware
Frontiersgeneral

Breaking the memory wall: next-generation artificial intelligence hardware

<a href="https://news.google.com/rss/articles/CBMijAFBVV95cUxNYXhjNWFiN1FVYXBMY1lpSTh0UnNoYmhaWVBKdzcxbFVwZ1BKOFdIWWVJVWhmS1lrYjgtWHN0LWVMbks3aVZGSXJVMWFEc0I1UnJPSHYxb0VfSklPZTlfQlZBZ01zRkg3dWtSQWhucEdVYnNJOHVxbUw3OGlRM3doUHNjLXlOU0Q1R2tRaQ?oc=5" target="_blank">Breaking the memory wall: next-generation artificial intelligence hardware</a>  <font color="#6f6f6f">Frontiers</font>

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An overhead-reduced, efficient, fully analog neural-network computing hardware
Science | AAASgeneral

An overhead-reduced, efficient, fully analog neural-network computing hardware

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBaQkhXUDBiSU9ELS1WdlIyVW4wNUFPazZObmI1eFRGM1VpU1NDN0F5OGRvOUxxYTdSaUZ4Z3lSNEs2aFlCV2dEVE1hNEJVMldtVVlVVmYwcUZvbGNhWVV3?oc=5" target="_blank">An overhead-reduced, efficient, fully analog neural-network computing hardware</a>  <font color="#6f6f6f">Science | AAAS</font>

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MS‐SLAM: Memory‐Efficient Visual SLAM With Sliding Window Map Sparsification
Wiley Online Librarygeneral

MS‐SLAM: Memory‐Efficient Visual SLAM With Sliding Window Map Sparsification

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE1aeXRYaldiZk9lTklkWWdXUy00ZmM5Q2poVlF4Tmg3WEV5ZmJVb0VlMlVIV0FLZWgyVm9uUFBKVWVUZVBobElLaG9oMjh6TGRyUFJNZjRYZmdBRU1hX1NmMFpCbmQwVU9BTWc?oc=5" target="_blank">MS‐SLAM: Memory‐Efficient Visual SLAM With Sliding Window Map Sparsification</a>  <font color="#6f6f6f">Wiley Online Library</font>

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An energy efficient processor array and memory controller for accurate processing of convolutional neural network-based inference engines
Naturegeneral

An energy efficient processor array and memory controller for accurate processing of convolutional neural network-based inference engines

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE56RWZZMGExRy1mNHhhNUdSMTFTUlREemtJNnctbGNHUkczeldEXzVtRjdya1B4NXJHSUZ6NlVzTGJhZXdDTGFNY1o2aGw0Z2k0V21PTEthdFhBTExudVd3?oc=5" target="_blank">An energy efficient processor array and memory controller for accurate processing of convolutional neural network-based inference engines</a>  <font color="#6f6f6f">Nature</font>

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Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning
Frontiersgeneral

Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxNcUx0bjRPV1pHMkEyem52d1lRUGJFZGVFaWQ1WE5PbmxyS3VKVnNEWDNaOENPSzFkRzZxUUw0amVjQWFhLW9UUDBXWnFvejBjd2NQZGtnV2tsWnpad29fNTlVcU5kNkd4emhmUkIyUXk2SkNKaHpVVjFVLVhWTGVxX0JCVUNZUnE5UkYyZmxCajNfeElscnc?oc=5" target="_blank">Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning</a>  <font color="#6f6f6f">Frontiers</font>

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TMO: Transparent Memory Offloading in Datacenters
Communications of the ACMgeneral

TMO: Transparent Memory Offloading in Datacenters

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxNWTlHMmJlSU5Lc0xsb0ZISWQ4b1BVYzNQVE14LUpsUHJHV2FWYmN4NnJidm1LUTdUU2N2dnJoazlfdE54MEQ1S3Q3LW5URWhWZk95SjQ3dHpKOGtTTXJDOEFUajd3eFpxSzVpbUdIeURuaTVSNTd1ZXgta2ZkMWp6bWcyODBYQlpQYUNFV3o2VVZkWXFR?oc=5" target="_blank">TMO: Transparent Memory Offloading in Datacenters</a>  <font color="#6f6f6f">Communications of the ACM</font>

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Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing
Science | AAASgeneral

Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing

<a href="https://news.google.com/rss/articles/CBMiYEFVX3lxTE94aGpmWjNXR0gtWWU2OC05bmU0YlFjTXFhN1ZRanh1cHh5bXNsaDFNbFl2VFBmaDYyZ2haMkx4M1NQQ1p5bDJpa2QxcU9fZkVDR3hfMWRVMkluejhCRVlfVA?oc=5" target="_blank">Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing</a>  <font color="#6f6f6f">Science | AAAS</font>

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Sharing leaky-integrate-and-fire neurons for memory-efficient spiking neural networks
Frontiersgeneral

Sharing leaky-integrate-and-fire neurons for memory-efficient spiking neural networks

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxNVkJyZjZXcTRfUS0xM2RxYTVWRUt4RWhtdmpEVTdjNTlxaDlScGdHREtjMVFmM0NJVVZSNUU2M2VaaS1lZDJPSmhsVEdvS3ZISUJ3MDR1TWdES2c3S2kyakZTMDlsbFhIYVRVTlg5Q2hXTFVXODRvb2FBcnQ0SlplaUtyRjlDYThQWGJXcmtIQ3NTZzZs?oc=5" target="_blank">Sharing leaky-integrate-and-fire neurons for memory-efficient spiking neural networks</a>  <font color="#6f6f6f">Frontiers</font>

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Memristor-based adaptive analog-to-digital conversion for efficient and accurate compute-in-memory
Naturegeneral

Memristor-based adaptive analog-to-digital conversion for efficient and accurate compute-in-memory

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBrYlpRa1JrandxdUdhN1Y1WWw0THZiMmlDNmJfcFhwODBOUGlJLVliWWp4aGFEOTJXdzVnZ2h5RjhCNFFqN1M4MjZRTkZac0xxRHdtczNNT3d5aUg4NzRB?oc=5" target="_blank">Memristor-based adaptive analog-to-digital conversion for efficient and accurate compute-in-memory</a>  <font color="#6f6f6f">Nature</font>

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SPIKA: an energy-efficient time-domain hybrid CMOS-RRAM compute-in-memory macro
Frontierstech

SPIKA: an energy-efficient time-domain hybrid CMOS-RRAM compute-in-memory macro

<a href="https://news.google.com/rss/articles/CBMikwFBVV95cUxPMm40dy02WXpWOVptTTcxdW1TcUJNUG85ZzQtMzZyWXhJOUU0N2RzaEt3TFhaWWVVS1h4ZzhzVnhNdUJmaG5TTTF4QlA4ejd6NzBybm9FVmNDOWxJMEVsM01nNHV6SGMwaHBRN1lKeUdXTUJ0OWRBZTRtSGk4cmp0QVVXV2VxM3ViOHpIVTdIQjUwdzg?oc=5" target="_blank">SPIKA: an energy-efficient time-domain hybrid CMOS-RRAM compute-in-memory macro</a>  <font color="#6f6f6f">Frontiers</font>

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Memory-efficient low-compute segmentation algorithms for bladder-monitoring smart ultrasound devices
Natureworld

Memory-efficient low-compute segmentation algorithms for bladder-monitoring smart ultrasound devices

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE41WHI1T1FrTU4yWlV5anhMMWpoekgzSnliM2NoYnVBcXlSQzZiYTJMWVFGd0hfZzZkRFBQeVBWZXYxcDYwMGd0a2taeUtyN0xGZzVNQXFmN2c4ZVU5VVpV?oc=5" target="_blank">Memory-efficient low-compute segmentation algorithms for bladder-monitoring smart ultrasound devices</a>  <font color="#6f6f6f">Nature</font>

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Efficient simulation of neural development using shared memory parallelization
Frontiersgeneral

Efficient simulation of neural development using shared memory parallelization

<a href="https://news.google.com/rss/articles/CBMimgFBVV95cUxNX0dXV2ViMkJJV3pfektpcUM0c052ZGtxbWIzR29ybENiUW92NGd3empQVlVoejU2LTdfelNRakdYUExLVmxsQWV6RHB5eEVmNWxXYy01dUs4UkZYZV9VaE5wVzhmLTNDRlhxZ0ZYWWI3ZjhjVGZNS2RJYU9xV0ZXM0tiUVNiTmdOMURaSTBzSG1GNFZNa3ZFWGV3?oc=5" target="_blank">Efficient simulation of neural development using shared memory parallelization</a>  <font color="#6f6f6f">Frontiers</font>

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Full-cycle device-scale simulations of memory materials with a tailored atomic-cluster-expansion potential
Naturetech

Full-cycle device-scale simulations of memory materials with a tailored atomic-cluster-expansion potential

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9fUXRDX01VVmxXeG02cndmQk13TUdoeUZmRWROVGVtWW5EdUdtYjRFbmF4blZxMkpxMVlEUE0ySFFSVDNJTlVZTjRzMy1ISEZPb1cxQnlkX1owcGJPUjNr?oc=5" target="_blank">Full-cycle device-scale simulations of memory materials with a tailored atomic-cluster-expansion potential</a>  <font color="#6f6f6f">Nature</font>

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Redefining IoT networks for improving energy and memory efficiency through compressive sensing paradigm
Naturegeneral

Redefining IoT networks for improving energy and memory efficiency through compressive sensing paradigm

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE83WkV5cWJ5S0NiMlRiUVNPdFJvUHB6dFhEeGgydmVPbUo2UEZyMmJkdTZaYnJ4bmN5Y2ROZ1JRaE52TW5reWxLbU5CaVkwc1ZaeGdWeFlFWnJueUxlREZJ?oc=5" target="_blank">Redefining IoT networks for improving energy and memory efficiency through compressive sensing paradigm</a>  <font color="#6f6f6f">Nature</font>

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Parameter-efficient fine-tuning of large-scale pre-trained language models
Naturetech

Parameter-efficient fine-tuning of large-scale pre-trained language models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1RNnR1bElnQnJ6dU9oUWNuWjJjUElGcEwwWHBtM0ZSblRraTBIWm8zV0JYY29idEJxWUZNQVVWYVBmTTdtQm5fY2taT3hkdnBNa2VOZTVvd3VIaU1ranpN?oc=5" target="_blank">Parameter-efficient fine-tuning of large-scale pre-trained language models</a>  <font color="#6f6f6f">Nature</font>

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Mastering LLM Techniques: Inference Optimization | NVIDIA Technical Blog
NVIDIA Developertech

Mastering LLM Techniques: Inference Optimization | NVIDIA Technical Blog

<a href="https://news.google.com/rss/articles/CBMiigFBVV95cUxNUzJjSXlkc2pxNDN0RTFIVWRUcEFETUJEeVlmeV95RHBpWDFBQzB5TG0xX3ZMNEtacDlKLTBqTXZGWWU3TlQ5MlRTUGZEaWVzcTU5bXM4Vnd0NmRIZy1DMlZMdV9LRFQ3dXY5Z1VaeE9hV1ZwQ19HZUJYRjJqeHd6MlV2RC14b2U0eEE?oc=5" target="_blank">Mastering LLM Techniques: Inference Optimization | NVIDIA Technical Blog</a>  <font color="#6f6f6f">NVIDIA Developer</font>

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Energy-efficient analog-domain aggregator circuit for RRAM-based neural network accelerators
Frontierstech

Energy-efficient analog-domain aggregator circuit for RRAM-based neural network accelerators

<a href="https://news.google.com/rss/articles/CBMikwFBVV95cUxPbS1qOW9SanFQVEhWMjFlZlppUGszZ0xEb3RHaVNwcHp1YjJsVmgycVNscFhaVGlXWVlVTGFzMXhwUWVVMmlHNTVJZWc5VFp5WUNuOGtiMzJtVDVSR1VaOEZINFZycU1GNGtpYWFGWExlN1ZoTEVRTUp6d1kwRlVBTHFFdXhteHJCUHdGX3d6am1QX1E?oc=5" target="_blank">Energy-efficient analog-domain aggregator circuit for RRAM-based neural network accelerators</a>  <font color="#6f6f6f">Frontiers</font>

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First-Order Federated Bilevel Learning
The Association for the Advancement of Artificial Intelligencemarkets

First-Order Federated Bilevel Learning

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFBWX19YRGlXbVN6Wld2MmtEbXNkdDdUdWU5ZFlzRmE0eXlUMVdWaGxfaWFNMDByaTh4M1NDNk1HaUYyVUxsUGdUUnR0dTViZ2tkUVJiZ19LTlB2RWZyMHNfcXpTemM?oc=5" target="_blank">First-Order Federated Bilevel Learning</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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SNN4Agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents
Frontiersgeneral

SNN4Agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents

<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxOTVVFZGhVcWxUcno5V2s1UE53cDRoenYzc050MVNJNmNUQ3JnbVFFRWJOdGtjVXdERHJOS2Y1NkVNc0xrdHk0QlpLaW82NllCNnF2bG1qSjNIYUNSelAwZDZqVFJUaG42TU9GTUJsd1NjRzM1ZWRfUmpKNWlIc3gxMTBqNmdqSVFWV01xZzRnQ0p6NjExbHprMQ?oc=5" target="_blank">SNN4Agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents</a>  <font color="#6f6f6f">Frontiers</font>

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An analog-AI chip for energy-efficient speech recognition and transcription
Naturetech

An analog-AI chip for energy-efficient speech recognition and transcription

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1fWlBFSmp1ZUt0MXZSREZnVGFXdU5MUGJtN3k1ZVlEX2hycXh4Wld3ZUlndUdfR1RNTXlmMjZBQU83THhQWTc2TjJ6SUpsb29xclV4M3c3VV9MYU9GRDV3?oc=5" target="_blank">An analog-AI chip for energy-efficient speech recognition and transcription</a>  <font color="#6f6f6f">Nature</font>

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SENECA: building a fully digital neuromorphic processor, design trade-offs and challenges
Frontiersgeneral

SENECA: building a fully digital neuromorphic processor, design trade-offs and challenges

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxNOFlCbERZbVhwd0pGekx2dFo4QXQ1U19IcVNyRTF3UXp1ZGFid3FjMGI2VXBMUXozd2hSb1VZcUVWaWtXWTdULUlweDhLaXlOeVJmSGlScGs3OE0wWHU4dGF1WjJEVUFCeWlHN1l6UHRxY3Q2YVJoN19ZTER5MlExWDhYMERFemp2X3Q2aTJnMnJoTkRT?oc=5" target="_blank">SENECA: building a fully digital neuromorphic processor, design trade-offs and challenges</a>  <font color="#6f6f6f">Frontiers</font>

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Self‐selective memristor‐enabled in‐memory search for highly efficient data mining
Wiley Online Librarygeneral

Self‐selective memristor‐enabled in‐memory search for highly efficient data mining

<a href="https://news.google.com/rss/articles/CBMia0FVX3lxTE9sRXF4TDlkWW1BUjFJanJBbTg5bjI2aHA3dENLOHJmMDZXa3VOMm9fWVNnYUZkN2NuQm1tQzdaemJ5Wml1aXNObmh3VU1sTDVaUFJ1LTJrSm9uclB1WmlIUHdrVXhOM1JWaWtz?oc=5" target="_blank">Self‐selective memristor‐enabled in‐memory search for highly efficient data mining</a>  <font color="#6f6f6f">Wiley Online Library</font>

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Experiment with Qwen3.8-Flash-Next on NVIDIA GB300 NVL72 for Agentic Coding | NVIDIA Technical Blog
NVIDIA Developertech

Experiment with Qwen3.8-Flash-Next on NVIDIA GB300 NVL72 for Agentic Coding | NVIDIA Technical Blog

<a href="https://news.google.com/rss/articles/CBMirwFBVV95cUxNbTBGQUpGeFlsVXJxVmR2VHJpWWNUdFNNWW4tYU1ibGdzUllKMEMxXy1EbkcxMXQ4ZTF5UENwT24tZzJBLUJBamZpd20wYVVXUkxNX1R0VlQxblVkQUZtR09YQVlHVUxXemVWNHM3MUEwSWExNEFSQVR5UmtNZkJrQkJiT0ZQeXM5UjlBUGhDVEpFWS1kSWRtYk92eGJ1R1YwNzUwampEZTdieFpQVW9B?oc=5" target="_blank">Experiment with Qwen3.8-Flash-Next on NVIDIA GB300 NVL72 for Agentic Coding | NVIDIA Technical Blog</a>  <font color="#6f6f6f">NVIDIA Developer</font>

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Neuromorphic algorithms for brain implants: a review
Frontierstech

Neuromorphic algorithms for brain implants: a review

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxPMG85UnJHZHZTMXg1RnZNQV8xeGVZOTRDZUctd0JJbnNjQlNOdGxMSGpjUVhmRW5TSnR5bV96MTV0dVJwNzl3MHQzNWhHU1NwT0p0LTE2a3lqQjMwQWRDbndfYXFpODZaNHljQzZVd2ZqeVNta0N3dzhHUEhRRU10X21WVG1DVlI0WEVIRE5EaHA1MUNs?oc=5" target="_blank">Neuromorphic algorithms for brain implants: a review</a>  <font color="#6f6f6f">Frontiers</font>

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Computationally efficient whole-genome regression for quantitative and binary traits
Naturetech

Computationally efficient whole-genome regression for quantitative and binary traits

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE13RUROaktqelhyZ0FHWWROQUc5QU5TbzV2MGlzcFJTTFZUVDBYMW8xcDF0YnlSTWtjNXZSNkJxV1dqWlY4SGtaeDlXNE92clFKSjI4NEE3R3N4dGxxMlRF?oc=5" target="_blank">Computationally efficient whole-genome regression for quantitative and binary traits</a>  <font color="#6f6f6f">Nature</font>

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"Memory-efficient full-vol" — Live Google News Trends & Headlines