Katydid

43 ms·

1. 511.▲
   Drilling into Microsoft’s BrainWave Soft Deep Learning Chip(nextplatform.com)

   4 points by Katydid 9y ago|0 comments
2. 512.▲
   ARM Servers: Qualcomm Is Now a Contender(nextplatform.com)

   6 points by Katydid 9y ago|0 comments
3. 513.▲
   First In-Depth View of Wave Computing’s DPU Architecture and Systems for AI(nextplatform.com)

   2 points by Katydid 9y ago|0 comments
4. 514.▲
   How Hardware Drives the Shape of Databases to Come(nextplatform.com)

   2 points by Katydid 9y ago|0 comments
5. 515.▲
   The Ironic – And Fleeting – Volatility in NVM Storage(nextplatform.com)

   4 points by Katydid 9y ago|0 comments
6. 516.▲
   Deep Metric Learning with Angular Loss (Baidu Research)(arxiv.org)

   3 points by Katydid 9y ago|0 comments
7. 517.▲
   Snowflake: A Model Agnostic Accelerator for Deep Convolutional Neural Networks(arxiv.org)

   4 points by Katydid 9y ago|0 comments
8. 518.▲
   Classifying Graphs as Images with Convolutional Neural Networks(arxiv.org)

   2 points by Katydid 9y ago|0 comments
9. 519.▲
   Nvidia Is a Textbook Case of Sowing and Reaping Markets(nextplatform.com)

   5 points by Katydid 9y ago|0 comments
10. 520.▲
    One Small Step Toward Supercomputers in Space(nextplatform.com)

    2 points by Katydid 9y ago|0 comments
11. 521.▲
    The Shape of AMD HPC and AI Iron to Come(nextplatform.com)

    3 points by Katydid 9y ago|0 comments
12. 522.▲
    A Visualization Suite Showing How Adversarial Examples Fool Deep Learning(arxiv.org)

    1 points by Katydid 9y ago|0 comments
13. 523.▲
    Google Research Pushing Neural Networks Out of the Datacenter(nextplatform.com)

    2 points by Katydid 9y ago|0 comments
14. 524.▲
    A Geometric Approach to Active Learning for Convolutional Neural Networks(arxiv.org)

    2 points by Katydid 9y ago|0 comments
15. 525.▲
    An End-To-End Compression Framework Based on Convolutional Neural Networks(arxiv.org)

    1 points by Katydid 9y ago|0 comments
16. 526.▲
    Double JPEG Detection Using Convolutional Neural Networks(arxiv.org)

    1 points by Katydid 9y ago|0 comments
17. 527.▲
    Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM(arxiv.org)

    2 points by Katydid 9y ago|0 comments
18. 528.▲
    An OS for Neuromorphic Computing on Von Neumann Devices(nextplatform.com)

    3 points by Katydid 9y ago|0 comments
19. 529.▲
    Learning from Video and Text via Large-Scale Discriminative Clustering(hal.inria.fr)

    1 points by Katydid 9y ago|0 comments
20. 530.▲
    MMGAN: Manifold Matching Generative Adversarial Network for Generating Images(arxiv.org)

    1 points by Katydid 9y ago|0 comments
21. 531.▲
    Taking a Byte Out of Bitcoin Regulation [pdf](albanylawjournal.org)

    1 points by Katydid 9y ago|0 comments
22. 532.▲
    Eventive Information for Metaphor Detection and Classification [pdf](researchgate.net)

    1 points by Katydid 9y ago|0 comments
23. 533.▲
    Decaf: Decoupled Dataflows for in Situ High-Performance Workflows [pdf](ipd.anl.gov)

    2 points by Katydid 9y ago|0 comments
24. 534.▲
    The FDA Is Unprepared for Personalized Medicine(academic.oup.com)

    2 points by Katydid 9y ago|0 comments
25. 535.▲
    Conscious Quantum Computer Musicology [pdf](researchgate.net)

    2 points by Katydid 9y ago|0 comments
26. 536.▲
    MCL: A Library for Multi GPU Programming(duo.uio.no)

    1 points by Katydid 9y ago|0 comments
27. 537.▲
    Power Efficient Computing: The COSA Project [pdf](downloads.hindawi.com)

    1 points by Katydid 9y ago|0 comments
28. 538.▲
    FPGA Implementation of K-Means [pdf](courses.cs.washington.edu)

    2 points by Katydid 9y ago|0 comments
29. 539.▲
    The Future Will Not Need IT Network Engineers(thefuturedoesnotneedyou.com)

    2 points by Katydid 9y ago|0 comments
30. 540.▲
    To Cut Costs, IBM Employs Watson AI Over Human Datacenter Engineers(thefuturedoesnotneedyou.com)

    4 points by Katydid 9y ago|0 comments