i think it's something weird about resnet being memory bound instead of compute bound
SYSTEMS
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Accelerating AI Deployment: Overcoming Production Challenges
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Explore the challenges that slow down #AI deployments and understand the benefits of using a consistent, secure, and reliable platform to accelerate the journey of taking AI into production. Read the latest blog
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AI and IoT Transform Industrial Operations in 2024
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#AI and #IoT are teaming up in 2024 to redefine connectivity! Learn about the six key trends reshaping the future of industrial operations and innovation: https://
ow.ly/fIel50QqWfO #sponsored #influxdata_iiot #InfluxDB #AI #IoT #artificialintelligence #TechTrends -
AI Accelerators Transform Computing Beyond GPU Architecture
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“These AI accelerators are the new unit of compute. They won’t look like GPUs at all.” Specifically mentions high bandwidth memory, proprietary data, reasoning engines on top of infra, vector data, scaler data. –
@satyanadella -
76% Skeptical of Brain-Machine Interface Technology Adoption
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A whopping 76% of respondents are not digging BMI. Me I can't wait. Lets jack in. Time to fly! https://t.co/EXoAVIL92M pic.twitter.com/UH2Zztcn1S
— Bob Gourley – e/acc (@bobgourley) 25 janvier 2024A whopping 76% of respondents are not digging BMI. Me I can't wait. Lets jack in. Time to fly!
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Post-Quantum Algorithms and IoT Security Predictions 2024
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2023 saw challenges with lost keys. How can we secure the future? Keyfactor shares insights and predictions for 2024, highlighting post-quantum algorithms, IoT security, and AI advancements. Learn more: https://
ow.ly/e6QL50QqFsA #sponsored #keyfactor_ics #cybersecurity #iotsecurity -
Dataset Sharding Performance Optimization Depends Multiple Factors
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i think the speedup depends on a lot of stuff, like how big your dataset is, how big the shards are, how many CPUs you have, what disk you have, etc. Unless you have a really big dataset I doubt this will help you nearly as much.
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Connected Human Intelligence: IoT Augmenting Human Capabilities
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My new article, "Connected Human Intelligence Revolutionizing People's Abilities through IoT," explores how IoT and AIoT augment human capabilities rather than replacing – like a partner. Read it here > https://
bit.ly/3Sc2xqU #IoT #BusinessTransformation #PostDigitalSociety -
Human Mind Efficiency Versus LLM Computational Requirements
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Our own minds appear to be much more compact than an LLM, we know far less yet are highly generalistic, getting to a working epistemology and the ability to draw correct conclusions with far less data than today's AI models. It must be possible to recreate this.
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Semantic LLM Editing for Compact Knowledge Representation
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I expect that once we can edit LLMs semantically, we can produce compact core LLMs that may not be good at style imitation, but that can quickly and reliably extract knowledge from text and store and exchange it in a kind of universally interpretable mental representation code.