TSMC thinks it will take the rest of the industry 6 more years to achieve ¼ of the transistors that we already have today. Would you like to enjoy 4 trillion transistors today on CS-3 or 1-trillion transistors on a GPU in 2030? Read TSMC’s full report (
https://
spectrum.ieee.org/trillion-trans
istor-gpu
…)
HARDWARE
-
TSMC’s Transistor Advantage: Today’s 4 Trillion vs 2030 Projections
By
–
-
ARM and Untether AI Shape Computing Future for Everyone
By
–
The future of #computing. For everyone.https://t.co/zQDppuaZA0 https://t.co/0VIzDHtQl9
— Untether AI (@UntetherAI) 15 avril 2024The future of #computing. For everyone. https://
arm.com/partners/catal
og/untether-ai
… -
Untether AI joins Arm Partner Catalog for future development
By
–
We can now be found in the @Arm Partner Catalog! We’re excited to be working together to build the future #onArm. Learn more at https://
arm.com/partners/catal
og/untether-ai
…. -
Limitless Pendant LED Recording Consent Mode Privacy Features
By
–
This bit is interesting: > An LED lights up whenever it’s recording, and the Limitless Pendant also has a “Consent Mode” that detects new voices and doesn’t record them until the software hears them agree to being recorded. (It’s worth noting this mode is off by default.)
-
NVIDIA Named Google Cloud Partner of Year for Generative AI
By
–
We're thrilled to be named a #GoogleCloudPartnersTechnology Partner of the Year. NVIDIA on #GoogleCloud supports more platforms, services, and hardware to accelerate customer journeys with #GenerativeAI. https://
nvda.ws/4aYJZCt #GoogleCloudNext -
Quantization Dramatically Compresses LLMs for Consumer Hardware
By
–
LLMs can take gigabytes of memory to store, which limits what can be run on consumer hardware. But quantization can dramatically compress models, making a wider selection of models available to developers. You can often reduce model size by 4x or more while maintaining reasonable… pic.twitter.com/ASQ28fzgkB
— Andrew Ng (@AndrewYNg) 15 avril 2024LLMs can take gigabytes of memory to store, which limits what can be run on consumer hardware. But quantization can dramatically compress models, making a wider selection of models available to developers. You can often reduce model size by 4x or more while maintaining reasonable
-
Adaptive Compute: Innovative Solution for Technical Challenges
By
–
Adaptive compute could be an interesting/possibly necessary way to solve this.
-
Hardware Success Requires Excellent Software Quality
By
–
The issue here is that we all know hardware is tough, but weirdly, that seems to be the best part of the pin. In this day and age, you have no excuse for bad software. Being torn down because of software is just bad, and totally preventable.
-
Understanding Camera Components for Computer Vision Engineers
By
–
🎥 New Video Alert 🎥https://t.co/8NN10oFfCI
— Satya Mallick (@LearnOpenCV) 15 avril 2024
Just as a good Software Engineer must understand a computer's inner workings, a proficient Computer Vision Engineer needs to grasp the intricacies of a camera. In our latest video, we discuss the essential components of a camera,… pic.twitter.com/Ptog63dqFlNew Alert https://
youtube.com/watch?v=F7h9rr
ATXLg
… Just as a good Software Engineer must understand a computer's inner workings, a proficient Computer Vision Engineer needs to grasp the intricacies of a camera. In our latest video, we discuss the essential components of a camera, -
Europe launches semiconductor testing facilities for digital innovation
By
–
Europe commits to semiconductor innovation with new testing facilities | Shaping Europe’s digital future https://
digital-strategy.ec.europa.eu/en/news/europe
-commits-semiconductor-innovation-new-testing-facilities
… via @EU_Commission #digitaleu #semiconductor #Innovation #technology #europe #digital @DigitalEU @ArturHabant @elaniaz @BetaMoroney @PawlowskiMario