"To enable training of the larger models on the full sequence length (10,240 tokens), we leveraged… CS-2… and obtained GenSLMs that converge in less than a day.” ACM article on our award for this research: https://
hubs.li/Q01s-1f40 Full article: https://
hubs.li/Q01s-0Yy0
AI HARDWARE
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GenSLMs trained on full sequence length in under one day
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USB3 Factory Parameters Critical to Prevent Hardware Damage
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Super interesting. USB3 requires fine-tuned parameters at factory level, or how you can easily melt your MacBook speakers.
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Processing Power and Battery Life Trade-off Challenges
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There's just a real limit of processing power vs battery life to overcome
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Data Infrastructure and GPU Acceleration for AI ML Workloads
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With data volumes rapidly increasing, companies need to equip data scientists with storage and data management, GPU acceleration, and tooling to harness #AI and #ml. Experts from Domino, @netapp
, and @nvidia met at #vmwarexplore in Barcelona to discuss: https://
domino.buzz/3OwI12c -
ActivSurgical Uses AI AR for Robotic-Assisted Surgery
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NVIDIA Inception partner @ActivSurgical looks to focus on developing surgical tools that improve patient care, increase safety, make surgeons more efficient, and reduce errors with #AR and #AI in robotic-assisted surgery. Read more: https://
nvda.ws/3tOWm0s -
Argonne’s Andromeda AI Supercomputer Wins Gordon Bell Prize
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At #SC22, we were awarded the Gordon Bell Special Prize for High-Performance Computing-Based #Covid-19 Research. We are thrilled that Rick Stevens and the Argonne National Laboratory team were able to use our AI Supercomputer, Andromeda, to accomplish this world-class research
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Semiconductor Chips and the Future Beyond Cloud Computing
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The TL Podcast for November 20th: The chips have it and what comes after cloud? // $NVDA $QCOM $AMAT $QRVO $TSM $NTNX $AYX $ADI https://
thetechnologyletter.com/the-posts/the-
tl-podcast-for-november-20th-the-chips-have-it-and-what-comes-after-cloud
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LiDAR and Vision Fusion Enhances Autonomous Vehicle Safety
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Ideally one should use both together which is why Tesla & Musk reportedly started to incorporate LiDAR to some extent. Vision (CNNs) alone will make mistakes that in real-world will be price costly. Combing both will reduce risk. https://
phase1vision.com/blog/how-lidar
-and-embedded-vision-increase-safety-in-autonomous-vehicles
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Edge AI Computing Powers Cancer Detection and Care Innovation
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How #Edge #AI & Computing #power is Catalyzing #TechForGood #innovation in #Health notably #Cancer Detection & Care @IPC_aewin @intel With #data #CyberSecurity by design https://
insight.tech/health/ai-and-
machine-learning-transform-cancer-treatment?utm_source=twitter&utm_medium=organic&utm_campaign=2022-tdc-eaves
… #ML #ITInfluencer #IntelPartner #100DaysOfCode @mikeflache @Ym78200 @xlth -
SMU Develops AI Algorithms for Sustainable Energy with NVIDIA SuperPOD
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An @SMU
-led research team has been awarded $2M from @doescience to develop algorithms with a powerful NVIDIA SuperPOD™ amongst its supercomputing system in order to fuel sustainable energy efforts. Learn More: https://
nvda.ws/3gljCQn