Even the Best AI Models Are No Match for the Coronavirus

Many so-called “quantitative funds” that mine historical data to make trading decisions fared poorly in March, when stocks fell sharply amid coronavirus fears.

The stock market appears strangely indifferent to Covid-19 these days, but that wasn’t true in March, as the scale and breadth of the crisis hit home. By one measure, it was the most volatile month in stock market history; on March 16, the Dow Jones average fell almost 13 percent, its biggest one-day decline since 1987. Read More

#investing

Could Super Artificial Intelligence Be, In Some Sense, Alive?

Should you feel bad about pulling the plug on a robot or switch off an artificial intelligence algorithm? Not for the moment. But how about when our computers become as smart—or smarter—than us?

Philosopher Borna Jalšenjak  of the Luxembourg School of Business has been thinking about that. He has a chapter, “The Artificial Intelligence Singularity: What It Is and What It Is Not,” in Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives, in which he explores the case for “thinking machines” being alive, even if they are machines. Read More

#singularity

Architectures

These are the lecture notes for FAU’s YouTube Lecture “Deep Learning”. This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor manual modifications were performed. If you spot mistakes, please let us know!

Part 1
Part 2

#architecture

Fabricius

Explore Fabricius, a Google Arts & Culture Lab Experiment that uses machine learning to help translate ancient Egyptian hieroglyphs. Read More

#big7, #nlp

YOLO Object Detection

YOU ONLY LOOK ONCE tutorial where you can learn about the YOLO Object Detection system, and how to implement such a system with Keras. Read More

#python

MIT researchers warn that deep learning is approaching computational limits

We’re approaching the computational limits of deep learning. That’s according to researchers at the Massachusetts Institute of Technology, MIT-IBM Watson AI Lab, Underwood International College, and the University of Brasilia, who found in a recent study that progress in deep learning has been “strongly reliant” on increases in compute. It’s their assertion that continued progress will require “dramatically” more computationally efficient deep learning methods, either through changes to existing techniques or via new as-yet-undiscovered methods. Read More

#deep-learning

Building an Intelligent QA System With NLP and Milvus

The question answering system is commonly used in the field of natural language processing. It is used to answer questions in the form of natural language and has a wide range of applications. Typical applications include intelligent voice interaction, online customer service, knowledge acquisition, personalized emotional chatting, and more.

Most question answering systems can be classified as generative and retrieval question answering systems, single-round question answering and multi-round question answering systems, open question answering systems, and specific question-answering systems. Read More

#chatbots, #nlp

The Birth Of The Cloud-Enabled Hybrid-AI Robotics Platform

I continue to think that Robots are the next big technology trend.  The COVID-19 event seems to make this even more likely because of the need to keep people apart from each other to prevent the virus’ spread.

This week Qualcomm put on a presentation on this topic with their focus being on 5G connecting these robots to centralized AI resources.  This presentation was designed to showcase their Robotics RB5 platform but is also showcased a different way to create robots so that they are more reliable, smarter, and less expensive to build.  Read More

#cloud, #iot

Deepfake used to attack activist couple shows new disinformation frontier

Oliver Taylor, a student at England’s University of Birmingham, is a twenty-something with brown eyes, light stubble, and a slightly stiff smile.

Online profiles describe him as a coffee lover and politics junkie who was raised in a traditional Jewish home. His half dozen freelance editorials and blog posts reveal an active interest in anti-Semitism and Jewish affairs, with bylines in the Jerusalem Post and the Times of Israel.

The catch? Oliver Taylor seems to be an elaborate fiction. Read More

#fake, #image-recognition

The great acceleration

The fault lines between industries and business models that we understood intellectually before the COVID-19 crisis have now become giant fissures, separating the old reality from the new one. Just as an earthquake produces a sudden release of pent-up force, the economic shock set off by the pandemic has accelerated and intensified trends that were already underway. The result is a dramatic widening of the gap between those at the top and the bottom of the power curve of economic profit 1 —the winners and losers in the global corporate-performance race. Read More

#investing, #strategy