AI this week #30
AI this week
The Logo:
After lots of discussions and deliberations, we decided to go with the following logo.
A lot of thought process has gone into choosing the above logo and was among the choice between the following three.
We chose the existing logo based on its simplicity, the prominence of the letter E and the aspect of multi-colour around technology.
Thanks to everyone who participated in it.
The World This Week
In the world of AI
Startups, Businesses and Enterprise
The Importance of Bees and How AI Can Help to Protect Them
Applying Artificial Intelligence to save bees can be an extraordinary marriage between nature and technology.
Jair Ribeiro
AI content platform Jasper raises $125M at a $1.5B valuation
Jasper, a platform leveraging AI to generate marketing art and copy, has raised $125 million at a $1.5 billion valuation.
Kyle Wiggers
DeepMind breaks 50-year math record using AI; new record falls a week later
AlphaTensor discovers better algorithms for matrix math, inspiring another improvement from afar.
Benj Edwards
Algorithms predict sports teams’ moves with 80% accuracy
Algorithms can predict the in-game actions of volleyball players with more than 80% accuracy, and now the lab is collaborating with the Big Red hockey team to expand the research project’s applications.
France fines Clearview AI maximum possible for GDPR breaches
Clearview AI, the controversial facial recognition firm, has been hit with another fine in Europe after ghosting France’s privacy regulator.
Natasha Lomas
Ally is building a dead-simple, no-code robot arm
Battlefield startup Ally Robotics is developing a hardware and software solution designed to let users deploy robot arms with no code.
Brian Heater
MIT system “sees” the inner structure of the body during physical rehab
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) created a system called MuscleRehab for visualizing muscle engagement and motion data during unsupervised physical rehabilitation.
Rachel Gordon | MIT CSAIL
How undesired goals can arise with correct rewards
As we build increasingly advanced artificial intelligence (AI) systems, we want to make sure they don’t pursue undesired goals. Such behaviour in an AI agent is often the result of specification gaming – exploiting a poor choice of what they are rewarded for. In our latest paper, we explore a more s…
AI Shouldn’t Compete With Workers—It Should Supercharge Them
The economy could get a boost if machine learning engineers switched from copying human abilities to augmenting them.
Research, Initiatives and Open Source
A new AI-powered speech translation system for Hokkien pioneers a new approach for a primarily oral language
We’re open-sourcing the first AI-powered translation system for an unwritten language. Our technology allows speakers of Hokkien (which is widely spoken within the Chinese diaspora but lacks a standard written form) to hold conversations with English speakers.
Machine Learning’s New Math
“We got a thousand times improvement [in training performance per chip] over the last 10 years, and a lot of it has been due to number representation,” Bill Dally, chief scientist and senior vice president of research at Nvidia said at the recent IEEE Symposium on Computer Arithmetic.
Dina Genkina
Measuring perception in AI models
Perception – the process of experiencing the world through senses – is a significant part of intelligence. And building agents with human-level perceptual understanding of the world is a central but challenging task, which is becoming increasingly important in robotics, self-driving cars, personal a…
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In case you missed
Last Week's Posts
In case you missed the last week's posts, please read them here.
Monday:
Gödel’s incompleteness theorem
“Either mathematics is too big for the human mind or the human mind is more than a machine.” ― Kurt Godël
Tuesday:
NIST Randomness Test
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Wednesday:
Chaotic synchronization
Order in chaos
Thursday:
Halting Problem
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Friday:
Prompt-to-Prompt Image Editing with Cross-Attention Control
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