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Episode 483 - Dissent Into Madness
Israel Placed Surveillance Devices Inside Secret Service Emergency Vehicles...
Here is the alleged partial chat log between Tyler Robinson and his trans lover...
MAJOR BREAKING: State Department & UN ties to Armed Queers SLC leader now confirmed
This "Printed" House Is Stronger Than You Think
Top Developers Increasingly Warn That AI Coding Produces Flaws And Risks
We finally integrated the tiny brains with computers and AI
Stylish Prefab Home Can Be 'Dropped' into Flooded Areas or Anywhere Housing is Needed
Energy Secretary Expects Fusion to Power the World in 8-15 Years
ORNL tackles control challenges of nuclear rocket engines
Tesla Megapack Keynote LIVE - TESLA is Making Transformers !!
Methylene chloride (CH2Cl?) and acetone (C?H?O) create a powerful paint remover...
Engineer Builds His Own X-Ray After Hospital Charges Him $69K
Researchers create 2D nanomaterials with up to nine metals for extreme conditions
They have achieved a speedup of about 100 times.
Nextbigfuture interviewed Yianni Gamvros, Head of Product and Business Development at QC Ware. Quantum Computers are still much slower than classical computers. However, the new loading system, algorithm improvements and hardware improvements are rapidly enabling quantum systems to catch up to classical computers.
Classical AI systems have improved 44 times over the last eight years using algorithmic improvement. ImageNet classification has been decreasing by a factor of 2 every 16 months. Compared to 2012, it now takes 44 times less compute to train a neural network to the level of AlexNet. Moore's Law would yield an 11x cost improvement over this period with hardware speedup. there are custom AI chips that have about 100X speedup.
QC Ware's algorithms researchers can efficiently load classical data onto quantum hardware and how distance estimations can be performed quantumly. These new capabilities enabled by Data Loaders are now available in the latest release of QC Ware's Forge⢠cloud services platform, an integrated environment to build, edit, and implement quantum algorithms on quantum hardware and simulators.