Welcome to the ninth edition of ML News Monthly – Aug 2021!!
Here are the key happenings this month in the Machine Learning field that I think are worth knowing about. 🕸
NIST Prioritizes External Input in Development of AI Risk Management Framework
National Institute of Standards and Technology officials are gleaning insights from a range of players as they work to draft Congressionally-directed guidance promoting the responsible use of artificial intelligence technologies.
AI in the News
DeepMind’s Losses and the Future of Artificial Intelligence
Alphabet subsidiary DeepMind lost $572 million in the past year, and its losses over the last three years amounted to more than $1 billion. AI contrarian Gary Marcus used the news as an opportunity to question the direction of AI as an industry.
A shirt to trick automatic license plate readers
Security researcher and clothing designer Kate Rose unveiled her Adversarial Fashion line at the Defcon hacker convention. The garments are meant to foul automatic license plate readers by diluting their databases with noise.
15 Innovative AI Companies Driving Exponential Shifts In Their Respective Sectors
This article will dive into 15 of the most innovative companies in AI right now and the seismic shifts they are causing across industries.
Personal assistant for you team meetings
Otter.ai announced today the launch of Otter Assistant for Microsoft Teams, Google Meet, and Cisco Webex for Otter Business Plan users. The tool will quietly join all meetings, transcribe all of the discussion, create a set of minutes, and share this with everyone — even if the user isn’t around.
See the world through your ears
Microsoft’s Artificial Intelligence and Research Laboratory offers a free iPhone app called Soundscape. Soundscape uses 3D audio to provide users with an array of information about their surroundings, helping them build a mental map of what’s around them.
Speechmatics: Voice Technology Is Becoming a Critical Part of the Enterprise’s Toolkit
Voice technology has surged in adoption among enterprises, with 68% of companies reporting they have a voice technology strategy in place, an 18% increase from 2019. And among the companies that don’t, 60% plan to in the next 5 years.
On the Opportunities and Risks of Foundation Models
Researchers at Stanford’s Human AI Institute proposed ways to prevent large language models like BERT, CLIP, and GPT-3 — which they call foundation models for their ability to support a plethora of high-performance, fine-tuned variations — from manifesting hidden flaws after fine-tuning.
Solve RL With This One Weird Trick
The previous state-of-the-art model for playing vintage Atari games took advantage of a number of advances in reinforcement learning (RL). The new champion is a basic RL architecture plus a trick borrowed from image generation.
Paper : https://arxiv.org/abs/2105.05246
That’s it !!
Let me know if I missed anything or if there’s anything you think should be included in a future post.