The OpenMind project has accepted new pull request with changes made with new AI plugin for Visual Studio Code integrated software development environment called GoAST
Adding coding plugins for VScode by ohhmm · Pull Request #102 · ohhmm/openmind (github.com)
It has screenshot of the change generated solely by the plugin:
& video with a goast provisioning:
WELCOME TO THE NEW AGE!!!
Vegan are powerful people who shows the excellence on their path to making menu choices.
Some people may ask them about plants being also living beings. They may also advise to eat rocks which makes sense for some birds.
If we believe in single ancestor theory then certainly even vegan eating Nth cousins.
To provide milk, a cow must process some grass.
Is it possible to win the game which vegan changes self with?
There certainly is a way https://twitter.com/inventingNames/status/1558322370418450432
Plants are producing proteins right to the air around in order to build own ecosystem. New device similar to oxygen compressor may help to filter out these proteins to build new clean food product. Congrats dear Vegans! We WON!!!
<script type="text/javascript">
var recognition = new SpeechRecognition();
recognition.onresult = function(event) {
if (event.results.length > 0) {
q.value = event.results[0][0].transcript;
q.form.submit();
}
}
</script>
<form action="http://www.example.com/search">
<input type="search" id="q" name="q" size=60>
<input type="button" value="Click to Speak" onclick="recognition.start()">
</form>
<script type="text/javascript">
var recognition = new SpeechRecognition();
recognition.maxAlternatives = 10;
recognition.onresult = function(event) {
if (event.results.length > 0) {
var result = event.results[0];
for (var i = 0; i < result.length; ++i) {
var text = result[i].transcript;
select.options[i] = new Option(text, text);
}
}
}
function start() {
select.options.length = 0;
recognition.start();
}
</script>
<select id="select"></select>
<button onclick="start()">Click to Speak</button>
<textarea id="textarea" rows=10 cols=80></textarea>
<button id="button" onclick="toggleStartStop()"></button>
<script type="text/javascript">
var recognizing;
var recognition = new SpeechRecognition();
recognition.continuous = true;
reset();
recognition.onend = reset;
recognition.onresult = function (event) {
for (var i = resultIndex; i < event.results.length; ++i) {
if (event.results.final) {
textarea.value += event.results[i][0].transcript;
}
}
}
function reset() {
recognizing = false;
button.innerHTML = "Click to Speak";
}
function toggleStartStop() {
if (recognizing) {
recognition.stop();
reset();
} else {
recognition.start();
recognizing = true;
button.innerHTML = "Click to Stop";
}
}
</script>
<button id="button" onclick="toggleStartStop()"></button>
<div style="border:dotted;padding:10px">
<span id="final_span"></span>
<span id="interim_span" style="color:grey"></span>
</div>
<script type="text/javascript">
var recognizing;
var recognition = new SpeechRecognition();
recognition.continuous = true;
recognition.interim = true;
reset();
recognition.onend = reset;
recognition.onresult = function (event) {
var final = "";
var interim = "";
for (var i = 0; i < event.results.length; ++i) {
if (event.results[i].final) {
final += event.results[i][0].transcript;
} else {
interim += event.results[i][0].transcript;
}
}
final_span.innerHTML = final;
interim_span.innerHTML = interim;
}
function reset() {
recognizing = false;
button.innerHTML = "Click to Speak";
}
function toggleStartStop() {
if (recognizing) {
recognition.stop();
reset();
} else {
recognition.start();
recognizing = true;
button.innerHTML = "Click to Stop";
final_span.innerHTML = "";
interim_span.innerHTML = "";
}
}
</script>
<script type="text/javascript">
speechSynthesis.speak(SpeechSynthesisUtterance('Hello World'));
</script>
<script type="text/javascript">
var u = new SpeechSynthesisUtterance();
u.text = 'Hello World';
u.lang = 'en-US';
u.rate = 1.2;
u.onend = function(event) { alert('Finished in ' + event.elapsedTime + ' seconds.'); }
speechSynthesis.speak(u);
</script>
Hello Mr. Hinton,The first answer:
My name is Sergej Krivonos. Here is my linked page.I want to use boost::mpl to implement compile-time neural network training algorithm.I suppose it might speed up recognition jobs due to compile time and link time optimizations and reducing of multiplication by zero and precalculated values.Recently I started learning your course on Coursera.Thus I have strong desire to design and implement compile-time trained recognition, I still might need some support. Please, let me know your thoughts as expert.
There are 75,000 people taking my course.Next email:
Geoff
Thank you much for answering.Maybe I shouldn't mention participating his course.
Is it worst to implement compile-time training?Is it possible to find a grant for this?
.Oh Yeah...
Merry Christmass Geoffrey and The Happy New Year!
I present to you flat NN model:Compile-time training result allows to precalculate weights and make each output to be equal a sum of (products of inputs and resulting output weights) - flat model.Happy New Year Mr Hinton! Our kids will see adequate speaking robots!
2016-12-22 17:16 GMT+02:00 Сергей Кривонос <sergeikrivonos@gmail.com>:
Thank you much for answering.
Is it worst to implement compile-time training?Is it possible to find a grant for this?
--
Regards,
Sergei Krivonos
skype: sergio_krivonos
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| Add development environment variable |
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| Restart your application |
citation end.If you do so, OpenShift will run your application under 'development' mode. In development mode, your application will:
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| YouTube/20th Century Fox |
