Raj (@raj@sigmoid.social) retweeted
OCUDU redefines how #wireless networks are built, deployed, and evolved. By combining carrier-grade CU/DU software, multi-vendor support, accelerated compute, and AI-native design, #OCUDU unlocks faster innovation, greater customization, and deeper ecosystem collaboration across public and private networks.
Read more about how OCUDU is shaping the next era of wireless innovation: deepsig.ai/ocudu-powering-wi…
#AI #5G #6G #WirelessInnovation #OpenSource
The hardware changes down the stairs while the red words are applied to one model to find weights. Not the tightest analogy, but suggests GA/EA/gradient free searches for architectures could learn analogously.
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Raj (@raj@sigmoid.social) retweeted
We’re headed to #GRCon25 this week, the place where the open source and #SDR community comes together to share, learn and innovate.
#DeepSig will be showcasing how our AI-native software OmniSIG® accelerates #spectrum awareness. From faster and smarter signal detection with Python and C++ support, to turning unknown #signals into known ones in hours with OmniSIG Studio, to #AI-learned waveforms that adapt to real-world environments, #OmniSIG delivers practical performance where it matters: deepsig.ai/event/gnu-radio-c…
It’s the speakership, not the vice presidency. “But no person constitutionally ineligible to the office of President shall be eligible to that of Vice-President of the United States.” But anyone can be third in line, speaker of the House.
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Raj (@raj@sigmoid.social) retweeted
Startups are tinkering with Aerial, Nvidia's RAN software, and the results could shake up the industry.
Read more on Light Reading: bit.ly/3F3WDW9
This is also true in RF, we haven’t cracked unsupervised pretraining. Also no one creates dozens of RF recordings and uploads them to social media daily BUT the chipsets could certainly capture this data for us
Brilliant talk by @ilyasut, but he's wrong on one point.
We are NOT running out of data. We are running out human-written text.
We have more videos than we know what to do with. We just haven't solved pre-training in vision.
Just go out and sense the world. Data is easy.
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Announcing that Ford EVs would be able to use the T*sla charging network was great press and probably pumped up the share price. But I’m pretty sure it was just an announcement with no plan to actually make and ship the adapters.
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Raj (@raj@sigmoid.social) retweeted
The DeepSig team is at @gnuradio's #GRCon24 this week, and we'd love to connect with you! Swing by Booth 8 to discover more about:
- AI-based signal detection, ready for deployment
- Turning unknown signals into known ones in hours
- AI-learned communication waveforms
Looking forward to seeing you there!
#AI #ML #OmniSIG #SpectrumAwareness #SDR #SignalDetection #RF
Raj (@raj@sigmoid.social) retweeted
The statement is true of a lot of AI/ML/CV/NLP PhDs today.
Not just mine.
My students, as well as Geoff's and Yoshua's, had a head start since few other people were doing deep learning in the 2000s.
I see you, .@zeroasic . Just pulled my parallella out of a bin of SBCs and was going to see how far I can get in 2024.
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Raj (@raj@sigmoid.social) retweeted
#DYK our OmniPHY-5G software integrates #deeplearning with Intel® FlexRAN™ Reference Architecture and the oneAPI Deep Neural Network Library? This powerful combination enhances #wireless performance and optimizes resource utilization of the Distributed Unit (DU) Upper PHY software in 5G Open vRAN systems. Learn more in our whitepaper, showcasing the transformative potential of #AI in optimizing #5G vRAN performance and paving the way for future #6G advancements: deepsig.ai/download-amplifyi…
Raj (@raj@sigmoid.social) retweeted
It's been a busy week at the first @IEEEorg International Conference on Machine Learning for Communication and Networking (#ICMLCN)! We participated in several sessions, including an #OmniPHY demo, a panel on #AI-Native 6G radio interfaces and an interactive session on #deeplearning-based uplink multi-user SIMO beamforming design: deepsig.ai/ai-innovation-ina…
