Artificial Intelligence and Artemisa

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Artificial Intelligence and Artemisa

Jose Enrique García Navarro

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Artificial Intelligence and Artemisa November 24, 2021 2

Artificial Intelligence

image sources: data36.com / medium.com

“In three to eight years, we will get a machine with average human intelligence.“

Marvin Minsky, 1970

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Machine Learning

image sources: wikipedia / medium.com

“I'm still a realist: If we work really hard - and smart - we can have

something like a HAL in between four and four hundred years. I suppose if we're lucky, then, we can make it by 2001!” .

Marvin Minsky, 1997

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Deep Learning

“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish. I mean with artificial intelligence we’re summoning the demon.”

Elon Musk, 2014

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Why Now?

• Big Data :

• Larger Datasets

• Easier Collection & Storage

• Hardware

• Graphics Processing Units

• Massively Parallelizable

• Software

• Improved Techniques

• Tools

• New Models

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Big Data

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Hardware

image sources: wikipedia

Supercomputer performance, based on data from top500.org site.

The logarithmic y-axis shows performance in GFLOPS.

GeForce RTX 3090

20 years, 6 orders of magnitude

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Software & Tools

Popularity

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New Models

Convolutional neural networks

M

ulti-layered ‘deep’ neural networks, that are particularly adapted to image classification tasks by being able to identify the relevant features required to solve the problem.

Transfer learning

O

ld idea of using concepts learned in one domain on a new unknown one, this idea has enabled the use of deep convolutional nets trained on labelled data to transfer already- discovered visual features to classify images from different domains with no labels.

Reinforcement learning

A

method for finding optimal strategies for an environment by exploring many possible scenarios and assigning credit to different moves based on performance.

Generative adversarial networks

P

itching the computer against itself by co-evolving the neural network classifier with the difficulty of the training data set.

sources: royalsociety.org

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A World of AI

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Computer Vision

Image Captioning

Object Detection and Classification

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Transfer Learning

Know how to play classic piano ➾ Learn how to play jazz piano

Facial recognition representations taken from mdpi.com, originally attributed to LeCun, Bengio, Hinton.

Spam filtering Image Recognition

Natu ral L angu age Proc essin g

Speech Recognition

Autonomous Driving

Gaming

Healthcare

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Natural Language Processing

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Generative Adversarial Networks

images source

What these people have in common?

What these people have in common with these cats?

What these cats have in common?

images source

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Multi Agent and Reinforcement Learning

thegamer.com

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Multi Agent and Reinforcement Learning

thegamer.com

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AI in Basic Science

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AI in Basic Science

Sattellite Imaging

Astronomy

Genetics

Climate Change

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AI in Basic Science

Health Chemistry

Particle Physics

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Artemisa

ARTificial Environment for ML and Innovation in

Scientific Advanced Computing

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Artemisa

is a GPU-intensive computing infrastructure dedicated to artificial intelligence and machine learning located at IFIC

´

s data centre. Its advanced features and excellent performance make possible the accelerated development of projects involving artificial intelligence areas.

With experience of more than three years successfully managing fundamental physics and interdisciplinary projects, its future is still highly connected to High energy, Nuclear and Astroparticle Physics.

Artemisa

has machine learning capacity for handling large amounts of data to produce empirical models in physics, chemistry, biology and social studies.

The facility is very well endowed with last generation GPUs plus ancillary CPU and disk space.

It features some specific equipment such a modern

8-GPU (A100) Server for special applications.

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Artemisa Facility

• 23 servers equipped with NVIDIA GPU Volta V100 plus a 4-V100 GPU Server.

• Artemisa also boasts a last generation CPU and storage system.

• Additional 11 new servers with two processors and one GPU NVIDIA Ampere A100 and 8 GPUs server

http://artemisa.ific.uv.es

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AI in Artemisa

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Using Artemisa

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Using Artemisa

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Using Artemisa

Login machines mlui01 and mlui02:

Linux / Mac Windows

mlui01.ific.uv.es

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Using Artemisa

• Complete Artemisa Guide :

http://twiki.ific.uv.es/twiki/bin/view/Artemisa/UsageGuide

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Using Artemisa

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