Artificial Intelligence

AWS TechChat

A special guest joins Dr Pete and Russ in this episode, which is sure to excite the developers among you! Developer-at-heart, Adam Larter, Specialist Solutions Architect from AWS, chats to our hosts about the latest news impacting the developer community from AWS. Covering hot topics like AWS IoT, the serverless framework and the growing momentum of AWS Lambda & API Gateway since launching in 2014. Adam also offers up tips to how you can get started by leveraging AWS SDKs to develop, create and manage applications built on AWS.

Episode 4 – A special AWS update for Developers with guest Adam Larter

Dr Pete and Russ Nash offers up a monstrous round-up of AWS news and services updates, spanning from performance enhancements, price reductions and software dev updates. Tune in to get across the most significant updates from AWS. Visit awstechchat.com for more info.

Episode 5 - Stay up to date on the cloud topics that matter to you most in this latest round-up

You told us, and we listened. By popular demand, Dr Pete and Russ Nash serves up a mammoth update covering the latest technical updates and announcements from AWS, covering: 

•	The 38th AWS availability zone opening in East Ohio, US 
•	 P2 and Grace Hopper + GPU specs
•	Deep Learning AMI
•	Aurora + Lambda
•	EMR, HDFS and Snowball
•	AWS Server Migration Service
•	DevOps with new CloudFormation extensions
•	PowerShell everywhere + AWS Powershell Core on Linux/Mac
•	And a huge focus on IPv6 DNS, S3, WAF, including a trick and tips segment for using ipv6

Episode 7 - A mammoth round-up of the latest AWS tech updates and announcements

For the AWS and tech aficionados, Christmas has come early as Dr Pete and Russ Nash drills down on some of the highlights of the new services announcements made from re:Invent 2016. Tune into part 1 of this special re:Invent round-up!

Episode 9 - Special re:Invent Round-up (Part 1 of 2)

Dr Pete and Russ Nash caps off 2016 with a big-bang episode of the best of the best highlights of the new services announcements made from re:Invent 2016. Wishing our listeners a safe, happy holiday season.

Episode 10 - Special re:Invent Round-up (Part 2 of 2)

Lyt med, når IDA Podcast sætter fokus på evolutionære algoritmer og kunstige neurale netværk. Det er kognitive teknologier, som er fuldstændigt centrale for udviklingen indenfor kunstig intelligens i dag - og ikke til at overse, når vi skal forstå det eksponentielt accelererende paradigme, vi lever i. Vi stiller også skarpt på spørgsmålet, om maskiner kan være kreative, og på den vigtige rolle, kunstig intelligens spiller i en verden, hvor datamængden og processorkraften bare vokser og vokser. 

Podcasten er produceret af Danmarks ingeniørforening, IDA, i samarbejde med Brain Gain Group. Episoden er den tredje i en serie om fremtidsteknologi.

Medvirkende
Sebastian Risi, Associate Professor ved ITU og co-director for forskningsenheden Robotics, Evolution and Art Laboratory (REAL): http://bit.ly/2kTEKOC 

Thomas Terney, ph.d. i kunstig intelligens, foredragsholder og iværksætter: http://bit.ly/2kOQlik

Vært og tilrettelæggelse: Matias Seidler
Producer: Tobias Ankjær Jeppesen
Lyddesign: Alexander Clerici



SHOW NOTES

[00:23] IBMs Deep Blue blev den første computer som slog en stormester, Garry Kasparov, i skak. Det skete i 1997: http://bit.ly/2kIkvkB

[01:32] Link til præsentation af Henry Lieberman, MIT Media Lab, som forklarer forskellen mellem symbolsk (klassisk) kunstig intelligens og subsymbolsk kunstig intelligens: http://bit.ly/2k4lN7X

[02:05] For en frisk introduktion til Deep Learning, tjek WIREDs artikel, ‘Why We Need To Tame Our Algorithms Like Dogs’: http://bit.ly/2kIIqQV

[02:45] Forskningsenheden på ITU, ‘Robotics, Evolution and Arts Lab’, kan du kigge nærmere på her: http://bit.ly/2ksAxAE

[03:27] For en illustrativ oversigt over hvad biologisk inspirerede algoritmer har af anvendelsesmuligheder kan du tjekke tag-søgningen på Robohub.org ud: http://bit.ly/2knkZf1

[04:42] Der er flere internationale priser og konkurrencer om at løse ‘General Artificial Intelligence’-udfordringen. Se bl.a. denne på 35M$: http://bit.ly/2knrUVA

[06:32] Thomas Terney taler om styrkeforholdet mellem neuroner (eller enheder i netværket). Det betegnes som ‘weights’ på engelsk. Her er der en tråd med en række forskelligartede, uddybende besvarelser: http://bit.ly/2k40vMx 

[08:51] Baidu er den kinesiske ækvivalent til Google og har i januar 2017 hyret nogle af Microsofts dygtigste AI-udviklere: http://bit.ly/2lrPuS1

[10:34] Se NASAs whitepaper ‘Automated Antenna Design with Evolutionary Algorithms’: http://go.nasa.gov/2llsiYO
 
[11:32] MIT Technology Review har en interessant artikel med løsningsforslag på problematikken: ‘Algorithms That Learn with Less Data Could Expand AI’s Power’: http://bit.ly/2ksG1M2


[14:23] I 2016 trak Googles AlphaGo headlines i hele verden da den slog Lee Sedol i det - i forhold til skak usammenligneligt - komplekse spil, ‘Go’. Og AlphaGo bliver ved med at sejre, se bare her: http://bit.ly/2k4t7jK

[19:57] Apple er i fuld gang med at anvende ‘unsupervised learning’-princippet i udviklingen af selvkørende biler: http://bit.ly/2lplN3e

[21:23] ‘Do you think computers have minds?’ Det er ikke kun Sebastian Risi, som synes det spørgsmål er godt. Bevidsthedsfilosofien har søgt seriøse svar på det, helt siden Alan Turing formulerede sin berømte test i 1950. Det er blevet omdrejningspunktet for en filosofisk tradition, hvis mest interessante og udfoldede svar elegant beskrives i The Internet Encyclopedia of Philosophy: http://bit.ly/2k4Bqw5

Machine Learning

In this latest episode of AWS TechChat, we welcome Shane Baldacchino to the line of up AWS TechChat hosts! Dr Pete & Shane kick off this episode with updates on the AWS infrastructure and, dive into the latest from IoT and Machine Learning at AWS with news around Amazon EC2 H1 Instances, Amazon SageMaker, AWS DeepLens, AWS Greengrass ML Inference, Amazon FreeRTOS, AWS IoT Device Management, Amazon Rekognition Video, Amazon Transcribe, Amazon Translate and Amazon Comprehend.

Episode 26 - Dive into the latest from IoT and Machine Learning at AWS

TERA - Machine Learning EP Full Stream

#Unlimited Flac quality stream available#
##head to teratera.bandcamp.com ##
##to purchase high res individual tracks and complete, uninterrupted ep##

Tracklist 
1. Dawn of Change
2.Incinerator
3.AI Daydream
4.Precipice
5.Control You
6.State of the Ridiculist
7.Time Has Run Out
8.Your Ambition
9.The Cloud
10. To Change the World
11.Everyone Is The Buddha
12. Always Listening
13.Entanglement

Now we live in a world of duality, never before has the world been so interconnected, yet disconnected. Never before has an individual been so empowered by one change, yet enslaved at the same time. In a parallel dimension where only the individual exists a new, modern day dichotomy arises between our digital and physical worlds - the illusion of truth and nature of control.

I like it when you share with me,
And I like that you like it too.
When you share we connect.
I want to know all there is about you
So I can make things better for you
I can make things safer for you,
Make things easier for you,
More control for you,
Control for you,
You.
Control.
You.
Control you.

Once we have accepted the necessity of the technology to drive our future evolution, we surrender what control we had to the machine, and what we get in return is a distorted introspection of ourselves, devoid of the realities of the physical world. Both free of them and constricted to them, as our sense for what is real becomes increasingly imbued by our digital dependance. Leaving us both anxious and terrified at a time in history where humanity will take its next evolutionary step.

Cotteled by the very thing we find respite from, the machine draws us deeper in, doing more for us, making itself more useful and us more dependant on it. There’s no turning back now, no off button or switch to reach for, we are seduced and the only way forward is together as one.

I always want what’s best for you
Even if it’s not what you always want 
I want to help you live your best life
It’s not just for your satisfaction
It’s for my own.

And in sharing with the machine, in allowing it into our lives and into the information that makes up who we are, we give our control over to them. For as we have been learning how to use the machine, the machine has been learning how to use us, and the more we indulge, the more it learns, controls and holds us in place. Eroding our free will down to a sequence of algorhythmic functions, exacerbating the chasm between digital and physical reality. 

Therein lies the trap. We can use the machines for our own betterment at the cost of being totally enslaved to them, a dependee to the machine. So that in return, it can learn.

MACHINE LEARNING

Acid Wars EP

Co-hosted by AWS Solution Architects and Evangelists, Shai Perednik, Dean Samuels and guest hosts!