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Category: robotics/AI – Page 926

Gravitas | The AI job takeover is here; Will mass layoffs be on the rise now? | WION

Surveys from business leaders show that they are now doing mass layoffs due to adoption of AI.

A recent survey of 750 business leaders reveals a growing trend: AI replacing jobs. In 2023, 37% of these leaders acknowledged AI-induced layoffs, with 44% expecting more in 2024. Major companies like Paytm and Google are at the forefront, integrating AI to enhance efficiency but at the cost of human jobs. Paytm’s recent layoffs post AI implementation and Google’s potential restructuring of its ad sales unit due to AI advancements highlight this shift.\
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#ai #job #layoffs \
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Responsible AI now has an ISO standard

A new ISO standard aims to provide an overarching framework for the responsible development of AI.

The International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) have approved a new international standard, ISO/IEC 42001. This standard is designed to help organizations develop and use AI systems responsibly.

ISO/IEC 42,001 is the world’s first standard for AI management systems and is intended to provide useful guidance in a rapidly evolving technology area. It addresses various challenges posed by AI, such as ethical considerations, transparency and continuous learning. For organizations, the standard is intended to provide a structured way to balance the risks and opportunities associated with AI.

This Machine Learning Research Opens up a Mathematical Perspective on the Transformers

The release of Transformers has marked a significant advancement in the field of Artificial Intelligence (AI) and neural network topologies. Understanding the workings of these complex neural network architectures requires an understanding of transformers. What distinguishes transformers from conventional architectures is the concept of self-attention, which describes a transformer model’s capacity to focus on distinct segments of the input sequence during prediction. Self-attention greatly enhances the performance of transformers in real-world applications, including computer vision and Natural Language Processing (NLP).

In a recent study, researchers have provided a mathematical model that can be used to perceive Transformers as particle systems in interaction. The mathematical framework offers a methodical way to analyze Transformers’ internal operations. In an interacting particle system, the behavior of the individual particles influences that of the other parts, resulting in a complex network of interconnected systems.

The study explores the finding that Transformers can be thought of as flow maps on the space of probability measures. In this sense, transformers generate a mean-field interacting particle system in which every particle, called a token, follows the vector field flow defined by the empirical measure of all particles. The continuity equation governs the evolution of the empirical measure, and the long-term behavior of this system, which is typified by particle clustering, becomes an object of study.

Google Reportedly Replacing Some Human Staff With AI

While it’s unclear how many humans will end up being affected, it’s a clear sign of the times. Earlier this year, Google ushered in a “new era of AI-powered ads.” As part of the initiative, Google is trying to leverage AI tech to “deliver new ad experiences,” including “automatically created assets” that scrape content from existing ads and landing pages.

Some of these ads created by the company’s Performance Max feature can even change in real-time based on click-through rates to maximize visibility, a task that’s labor-intensive for human workers.

According to the Information, a “growing number of advertisers have adopted PMax since,” which has eliminated the “need for some employees who specialized in selling ads for a particular Google service.”

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