AI News Weekly – Issue #355: Tech firms accountable for AI ? – Oct 19th 2023


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In the News

IBM CEO: Washington should hold tech firms accountable for AI

IBM CEO Arvind Krishna argues that regulators should not allow artificial intelligence developers to hide behind the sweeping legal protections that shield internet and social media firms.

politico.com

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In The News

The BBC is blocking OpenAI data scraping

The BBC, the UK’s largest news organization, laid out principles it plans to follow as it evaluates the use of generative AI — including for research and production of journalism, archival, and “personalized experiences.”

theverge.com

Amazon launches its Bedrock generative AI service in general availability

Amazon today announced the general availability of Bedrock, its service that offers a choice of generative AI models from Amazon itself and third-party partners through an API.

techcrunch.com

Tired of shortages, OpenAI considers making its own AI chips

OpenAI, the creator of ChatGPT and DALL-E 3 generative AI products, is exploring the possibility of manufacturing its own AI accelerator chips, according to Reuters.

arstechnica.com

Applied use cases

New technique based on 18th-century mathematics shows simpler AI models don't need deep learning

Researchers from the University of Jyväskylä were able to simplify the most popular technique of artificial intelligence, deep learning, using 18th-century mathematics.

techxplore.com

Researchers develop AI solutions for inclusion of Arabic and its dialects in NLP

The scientists say their project will introduce major improvements to NLP systems to accommodate the Arabic language and its dialects when programming computers to process and analyze large amounts of natural language data and assist in developing programs.

techxplore.com

How Machine Learning Is Influencing Recruitment

The traditional recruitment paradigms are in the midst of a transformative shift within this dynamic hiring landscape, making room for a more advanced, sophisticated and efficient approach to talent acquisition systems.

forbes.com

Ethics

China sets stricter rules for training generative AI models

The draft regulations emphasize that data subject to censorship on the Chinese internet should not serve as training material for these models.

cointelegraph.com

EU considers tightening rules for large AI developers amid opposition to strict approach

The European Union is reportedly negotiating over the finer details of a plan to impose stricter rules on artificial intelligence developers ahead of the launch of its widely anticipated legal framework.

coingeek.com

Clearview AI and the end of privacy, with author Kashmir Hill

New York Times journalist Kashmir Hill comes on Decoder to discuss her new book, Your Face Belongs to Us, and what the spread of facial recognition technology means for the future of privacy.

theverge.com

Robotics

An advanced humanoid robot says it can simulate dreams to help it learn about the world

Ameca can speak using responses generated by OpenAI’s GPT-3. Engineered Arts Redeem now A humanoid robot known as Ameca says it can simulate dreams to help it become knowledgeable.

businessinsider.com

American Jewish author Dara Horn trains her robot to shake a lulav

In a video posted to the social network X (formerly Twitter) on Wednesday, a Boston Dynamics robot can be seen shaking a lulav, the ritual palm branch that is traditionally waved to and fro each day of the Sukkot holiday.
“Yes,” the magazine said, “the robot lives in their house—it’s named Spot and…

jpost.com

Humanoid robots may finally be coming to the business world — starting in warehouses

Agility Robotics Related Boston Dynamics, known for its wacky robot videos, is now focused on making moneyAmazon shows off latest robots, drones, and electric vehicles in WestboroughWill Boston robots rule our warehouses?

bostonglobe.com

Research

How Deep Learning Is Moving Cybersecurity From A Reactive Response To Proactive Prevention

The Rise Of Deep Learning Models Researchers have strived for years to create sophisticated AI algorithms capable of more advanced functions.

forbes.com

Unsupervised learning for medical data: A review of probabilistic factorization methods

We review popular unsupervised learning methods for the analysis of high-dimensional data encountered in, for example, genomics, medical imaging, cohort studies, and biobanks.

wiley.com

Automated Natural Language Explanation of Deep Visual Neurons with Large Models

This paper proposes a novel post-hoc framework for generating semantic explanations of neurons with large foundation models, without requiring human intervention or prior knowledge.

arxiv.org

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