RFC: Synapse Yellow Paper – Synapseai

  • RFC: Synapse Yellow PaperTL;DR: Yellow paper here.At Synapse we’re building a global decentralized brain that anyone can help build and tap into.Decentralized topologies look alike, whether they’re the internet or the pathways in our brain.When the team originally launched the very first version of our white paper we included everything we were…
  • We ended up with a bunch of feedback that resulted with us creating more of a marketing brochure rather than any technical exposition.We’ve set-out to create that experience inside our yellow paper.
  • The balance between verbosity, succinctness, and technical detail, without being pseudo-technical is what we’re striving for.
  • This is an open, living, and versioned document so expect revisions and upgrades.This is also a Request For Comment (RFC) so we’re looking for feedback from the community on what more we can add or explain, and any contributions anyone would like to add.Best,The Synapse TeamCome visit with us on…

When the team originally launched the very first version of our white paper we included everything we were thinking about, all the questions, and answers that had come up while architecting the…
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Apple Machine Learning Journal

  • However, to achieve high accuracy, the training sets need to be large, diverse, and accurately annotated, which is costly.
  • An alternative to labelling huge amounts of data is to use synthetic images from a simulator.
  • This is cheap as there is no labeling cost, but the synthetic images may not be realistic enough, resulting in poor generalization on real test images.
  • We show that training models on these refined images leads to significant improvements in accuracy on various machine learning tasks.
  • Read the article View the article “Improving the Realism of Synthetic Images”

Most successful examples of neural nets today are trained with supervision. However, to achieve high accuracy, the training sets need to be large, diverse, and accurately annotated, which is costly. An alternative to labelling huge amounts of data is to use synthetic images from a simulator. This is cheap as there is no labeling cost, but the synthetic images may not be realistic enough, resulting in poor generalization on real test images. To help close this performance gap, we’ve developed a method for refining synthetic images to make them look more realistic. We show that training models on these refined images leads to significant improvements in accuracy on various machine learning tasks.
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ebo box: The world’s 1st artificial intelligence-driven gifting experience – BetaList

ebo box: The world's 1st artificial intelligence-driven gifting experience

  • Discover startups similar to ebo box
  • ebo box uses artificial intelligence to send personalized gifts based on your personality and interests.
  • Humai Reinventing the afterlife through artificial intelligence
  • The more questions you answer, the more ebo gets to know your preferences.
  • Logopony Create awesome flat logo for your startup in minutes

The world’s 1st artificial intelligence-driven gifting experience
Continue reading “ebo box: The world’s 1st artificial intelligence-driven gifting experience – BetaList”

ebo box: The world’s 1st artificial intelligence-driven gifting experience – BetaList

ebo box: The world's 1st artificial intelligence-driven gifting experience

  • Discover startups similar to ebo box
  • ebo box uses artificial intelligence to send personalized gifts based on your personality and interests.
  • Humai Reinventing the afterlife through artificial intelligence
  • The more questions you answer, the more ebo gets to know your preferences.
  • Logopony Create awesome flat logo for your startup in minutes

The world’s 1st artificial intelligence-driven gifting experience
Continue reading “ebo box: The world’s 1st artificial intelligence-driven gifting experience – BetaList”

This London startup is using AI to brew beer

Proof #London still has the edge! - This startup is using #AI to brew beer  via @thenextweb

  • The London startup is using AI to brew beer
  • Update: We misreported that IntelligentX’s AI is powered by IBM Watson.
  • The company actually uses its own machine learning algorithm; we’ve now updated our story to reflect that.
  • A startup in London has finally figured a genuinely useful application: brewing quality beers.
  • Sit back and let the hottest tech news come to you by the magic of electronic mail.

Read the full article, click here.


@nigelwalsh: “Proof #London still has the edge! – This startup is using #AI to brew beer via @thenextweb”


IntelligentX receives customer feedback on its basic beers via a Messenger chatbot and sends it to its AI to improve its recipes.


This London startup is using AI to brew beer

Startup Sells First Beer Brewed Via AI

Artificial Intelligence used to brew beer, using existing recipes, invention, and feedback

  • Startup Sells First Beer Brewed Via AI
  • The beers have already been through eleven iterations and have made it onto the market via the UBrew store in Bermondsey, London.
  • The feedback then goes into improving the recipes.
  • Originally derived from a classic porter recipe, this beer has an incredibly strong smokey flavor that some people love and others hate…
  • Pale AI – derived from an American pale ale, this beer uses significant quantities of Cascade hops to give a uniquely hoppy taste

Read the full article, click here.


@rossdawson: “Artificial Intelligence used to brew beer, using existing recipes, invention, and feedback”


One of the quirkier applications of IBM’s Watson AI engine has been in the creation of new recipes. It scours a global database of existing recipes and concocts novel new combinations that have yet to be tried.


Startup Sells First Beer Brewed Via AI

Introduction to Machine Learning with Hands-On Labs

Get an introduction to #MachineLearning w/ hands-on labs, experiments & more:

  • The content is designed for audience without any prior Machine learning knowledge.
  • Hands on labs to show Machine Learning service, developing experiments, feature engineering, R, Python Scripting, Production, RRS, BES
  • It starts from very basics and goes to advanced topics.
  • Introduction to Machine Learning with Hands-On Labs
  • Privacy and Cookies Terms of Use © Microsoft

Read the full article, click here.


@MSAdvAnalytics: “Get an introduction to #MachineLearning w/ hands-on labs, experiments & more:”


Hands on labs to show Machine Learning service, developing experiments, feature engineering, R, Python Scripting, Production, RRS, BES


Introduction to Machine Learning with Hands-On Labs