kyloon

7 ms·

1.
TensorFlow 2.12(github.com)
1 points by kyloon 4y ago|0 comments
2.
by kyloon 6y ago
I can confirm the same experience too (my company uses both AWS and Google Cloud) where most of the human touch points related to startup credits are with the sales team for Google Cloud instead of an account manager (we still don't ha
3.
Google AI: Transformers for Image Recognition at Scale(ai.googleblog.com)
7 points by kyloon 6y ago|1 comments
4.
Exploring Bayesian Optimization(distill.pub)
29 points by kyloon 6y ago|12 comments
5.
Palantir CEO: Silicon Valley Shouldn't Dictate US Policy(bloomberg.com)
33 points by kyloon 7y ago|14 comments
6.
by kyloon 7y ago
Agree on FHIR APIs are becoming ubiquitous especially with Apple Health pushing its adoption in consumer facing applications, not so much on the legacy enterprise side from what I've seen thus far (I work primarily in the clinical tria
7.
by kyloon 7y ago
Also a visualized summary of all the clinical trials conducted by 10 of the largest pharma companies in a digestable format: https://www.aerodatalab.org/birds-eye-view-of-research-lands... https://www.statnews.co
8.
OpenAI: AI Safety Needs Social Scientists(blog.openai.com)
1 points by kyloon 8y ago|0 comments
9.
by kyloon 8y ago
The scientific process typically involves making inferences and conclusions based on an observation, whereby the result often include biases and in some cases even ill-constructed hypotheses that are caused by assumptions and imperfect info
10.
by kyloon 8y ago
Love the format and illustration, though I feel having a high-level comparison between different Hyperledger projects (especially Fabric versus Sawtooth) is probably important here. Happy to contribute/collaborate on this.
11.
by kyloon 8y ago
Faust looks really cool with its native Python implementation. How does this compared with Apache Beam or Google's Dataflow as they have recently rolled out their Python SDK?
12.
TensorFlow 1.9.0 released(github.com)
1 points by kyloon 8y ago|0 comments
13.
by kyloon 8y ago
One of the core tenets of decentralized applications is the notion of using programmatic models (i.e. smart contracts) to enforce trust between multiple digital entities that maintain relationships that are often adversarial in nature, whic
14.
IBM Lands $740M Deal to Supply Data Security to Australia(bloomberg.com)
2 points by kyloon 8y ago|1 comments
15.
Verizon launches new 'unlimited' plan(theverge.com)
2 points by kyloon 8y ago|1 comments
16.
TensorFlow 1.8.0 released(github.com)
1 points by kyloon 8y ago|0 comments
17.
by kyloon 8y ago
Excellent work. Do you have plans to open source the scripts/implementation details used to reproduce the results? Would be great if others can also validate and repeat the experiment for future software updates (e.g. TensorFlow 1.8)
18.
Multi-Discriminator CycleGAN(einstein.ai)
2 points by kyloon 8y ago|0 comments
19.
by kyloon 9y ago
Official announcement from Google: https://developers.googleblog.com/2018/03/tensorrt-integrati...
20.
by kyloon 9y ago
Basically the finance industry is trying to shoehorn their legacy business systems into blockchain, which of course will not make any advantage obvious other than finding out it is much more difficult to reimplement what is already working
21.
TensorFlow 1.7.0 released(github.com)
165 points by kyloon 9y ago|15 comments
22.
Using Machine Learning to Discover Neural Network Optimizers(research.googleblog.com)
3 points by kyloon 9y ago|0 comments
23.
Kubernetes 1.10: Stabilizing Storage, Security, and Networking(blog.kubernetes.io)
4 points by kyloon 9y ago|0 comments
24.
by kyloon 9y ago
Really love what Gusto is working on bringing high quality HR solutions to very early stage startups. It especially helps with reducing toil on the founders trying to figure out how to run a company for the first time, as well as bridging t
25.
by kyloon 9y ago
It is also important to tease out if the demand is actually because of pricing your product too low which can sometimes be perceived as achieving product-market fit. Nothing wrong with that if cost efficiency is what you are trying to solve
26.
by kyloon 10y ago
This is great news, was just wondering when TensorFlow would support this after reading about PyTorch.
27.
by kyloon 10y ago
It is probably transfer learning has become more of a technique used for training neural network models (such as Adam being one of the most commonly used optimizer) whereas most of the excitement stems from new and/or complex neural ne
28.
by kyloon 10y ago
This is amazing news as using Keras is my opinion the best way to start building models in TensorFlow for most people (and also having support for Theano is definitely a plus).
29.
by kyloon 10y ago
In terms of deploying trained models, you can probably get away with using TensorFlow Serving and let Kubernetes handle the orchestration and scaling part of the job. I do agree that there is certainly a need to have a tool that glues all t
30.
by kyloon 11y ago
Thanks for the update. Most of the queries I am testing now are 'mean' and 'group by' aggregation for downsampling and visualization in Grafana. Looks like the problem is CPU bound as I see all 8 cores got maxed out when

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