Monthly Archives: December 2020

Unknown's avatar Rick's Cafe AI 11:16 am on December 7, 2020
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Here Are The Most Controversial AI Moments of 2020

Artificial intelligence has been the buzzword in 2020 and with the benefits of this technology evident around us; AI has had its own share of controversies. From algorithms¹ unfairly discriminating women in hiring and students complaining about unrealistic grades, there is no doubt that AI has evolved in 2020 and as 2021 beckons, it is time to take stock of what the year has been. With GPT3, deepfakes, and facial recognition making headlines in 2020, there are many arguments surrounding privacy and regulations.

In this article, I will explore the following controversial AI incidents in 2020 and explore the future prospects of artificial intelligence² and how 2021 is shaping up:

  • Facial recognition
  • Deepfakes
  • AI-based grading system
  • NeurIPS Reviews
  • GPT 3

Read More



#artificial-intelligence
Unknown's avatar Rick's Cafe AI 10:58 am on December 7, 2020
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Neural ODEs with PyTorch Lightning and TorchDyn

Effortless, Scalable Training of Neural Differential Equations

Traditional neural network models are composed of a finite number of layers. Neural Differential Equations (NDEs), a core model class of the so-called continuous-depth learning framework, challenge this notion by defining forward inference passes as the solution of an initial value problem. This effectively means that NDEs can be thought of as being comprised of a continuum of layers, where the vector field itself is parametrized by an arbitrary neural network. Since seminal work that initially popularized the idea, the framework has grown quite large, seeing applications in control, generative modeling and forecasting. Read More

#frameworks, #neural-networks
Unknown's avatar Rick's Cafe AI 12:49 pm on December 6, 2020
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3 Part Series on Natural Language Processing

A three part series covering the basics of

#nlp
Unknown's avatar Rick's Cafe AI 1:03 pm on December 5, 2020
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Promoting the Use of Trustworthy Artificial Intelligence in Government


Artificial intelligence promises to drive the growth of the United States economy and improve the quality of life of all Americans.

On December 3, 2020, President Donald J. Trump signed the Executive Order on Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government, which establishes guidance for Federal agency adoption of Artificial Intelligence (AI) to more effectively deliver services to the American people and foster public trust in this critical technology. Read More

#dod, #ic, #trust
Unknown's avatar Rick's Cafe AI 12:54 pm on December 5, 2020
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Artificial Intelligence for the American People

The age of artificial intelligence (AI) has arrived, and is transforming everything from healthcare to transportation to manufacturing.

America has long been the global leader in this new era of AI, and is poised to maintain this leadership going forward because of our strong innovation ecosystem. Realizing the full potential of AI for the Nation requires the combined efforts of industry, academia, and government. The Administration has been active in developing policies and implementing strategies that accelerate AI innovation in the U.S. for the benefit of the American people. These activities align with several areas of emphasis: AI for American Innovation, AI for American Industry, AI for the American Worker, and AI with American Values. This AI.gov website provides a portal for exploring these activities in more depth, and serves as a resource for those who want to learn more about how to take full advantage of the opportunities of AI. Read More

#dod, #ic
Unknown's avatar Rick's Cafe AI 9:51 pm on December 4, 2020
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ReBeL: A general game-playing AI bot that excels at poker and more

Combining reinforcement learning with search (RL+Search) has been tremendously successful for perfect-information games. But prior RL+Search algorithms break down in imperfect-information games. We introduce ReBeL, an algorithm that for the first time enables sound RL+Search in imperfect-information games like poker.

ReBeL achieves superhuman performance in heads-up no-limit Texas Hold’em while using far less domain knowledge than any prior poker bot and extends to other imperfect-information games as well, such as Liar’s Dice, for which we’ve open-sourced our implementation.

ReBeL is a major step toward creating ever more general AI algorithms. Read More

#big7, #reinforcement-learning
Unknown's avatar Rick's Cafe AI 9:45 pm on December 4, 2020
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Autonomous balloons take flight with artificial intelligence

An artificially intelligent controller can station a stratospheric balloon for weeks at a time without full knowledge of surrounding winds, opening up the prospect of unsupervised environmental monitoring.

The goal of an autonomous machine is to achieve an objective by making decisions while negotiating a dynamic environment. Given complete knowledge of a system’s current state, artificial intelligence and machine learning can excel at this, and even outperform humans at certain tasks — for example, when playing arcade and turn-based board games1. But beyond the idealized world of games, real-world deployment of automated machines is hampered by environments that can be noisy and chaotic, and which are not adequately observed. The difficulty of devising long-term strategies from incomplete data can also hinder the operation of independent AI agents in real-world challenges. Writing in Nature, Bellemare et al.2 describe a way forward by demonstrating that stratospheric balloons, guided by AI, can pursue a long-term strategy for positioning themselves about a location on the Equator, even when precise knowledge of buffeting winds is not known. Read More

#big7
Unknown's avatar Rick's Cafe AI 8:35 pm on December 4, 2020
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Conway’s Law: Critical For Efficient Team Design In Tech

Conway’s law is critical to understanding the forces at play when organizing teams amidst the long-lasting, unattended impact they can have on our software systems, as the latter have become larger and more interconnected than ever before. But you might wonder if a law from 1968 about software architecture has stood the test of time.

We’ve come a long way after all: microservices, the cloud, containers, serverless. Such novelties can help teams improve locally, but the larger the organization, the harder it becomes to reap the full benefits. The way teams are set up and interact is often based on past projects and/or legacy technologies (reflecting the latest org-chart design, which might be years old, if not decades).

This quote from Ruth Malan provides what could be seen as the modern version of Conway’s law: “If the architecture of the system and the architecture of the organization are at odds, the architecture of the organization wins.” Read More

#devops
Unknown's avatar Rick's Cafe AI 8:23 pm on December 4, 2020
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Light-based Quantum Computer Exceeds Fastest Classical Supercomputers

The setup of lasers and mirrors effectively “solved” a problem far too complicated for even the largest traditional computer system.

For the first time, a quantum computer made from photons—particles of light—has outperformed even the fastest classical supercomputers.

Physicists led by Chao-Yang Lu and Jian-Wei Pan of the University of Science and Technology of China (USTC) in Shanghai performed a technique called Gaussian boson sampling with their quantum computer, named Jiŭzhāng. The result, reported in the journal Science, was 76 detected photons—far above and beyond the previous record of five detected photons and the capabilities of classical supercomputers. Read More

#quantum
Unknown's avatar Rick's Cafe AI 11:02 am on December 4, 2020
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Why Intel believes confidential computing will boost AI and machine learning

Companies are collecting increasing amounts of data, a trend that is driving the development of better analytical tools and tougher security. Analysis and security are now converging as confidential computing prepares to deliver a critical boost to artificial intelligence.

Intel has been investing heavily in confidential computing as a way to expand the amount and types of data companies will manage through cloud services. Read More

#homomorphic-encryption