AI & RoboticsNews

Kin.art launches to defend artists’ entire portfolios from AI scraping

As the generative AI era has ushered in a wave of image generation models trained on data scraped from other artists across the internet, some artists who object to this practice have sought ways to defend their work from AI. (Full disclosure: VentureBeat uses AI art generation tools to create header art for articles, including this one.) Now there’s a new tool on the block promising artists a…
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AI & RoboticsNews

Stability AI unveils smaller, more efficient 1.6B language model as part of ongoing innovation

In a Nutshell Stability AI has released its new Stable LM 2 1.6B model, which is designed to lower barriers and enable more developers to participate in the generative AI ecosystem. The compact but powerful text content generation language model incorporates multilingual data in seven languages and aims to strike an optimal balance between speed and performance. Despite its smaller size, the…
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AI & RoboticsNews

The missing link of the AI safety conversation

In a Nutshell The conversation around AI development has shifted to focus on the cost of AI and the need for democratization. While advancements in AI have been made through increased scale and computing power, this has created a barrier to entry for many individuals and…
AI & RoboticsNews

Databricks and Credo AI unite for responsible, compliant AI at scale

Palo Alto-based startup Credo AI announced today that its AI governance platform will now be available on the Databricks Data Intelligence Platform. According to Credo AI, Databricks customers will be able easily track and manage AI risk and compliance at scale, leveraging data and evidence already stored in the Databricks Data Intelligence Platform, providing transparency about their AI systems…
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AI & RoboticsNews

Google’s new ASPIRE system teaches AI the value of saying ‘I don’t know’

Google researchers are shaking up the AI world by teaching artificial intelligence to say “I don’t know.” This new approach, dubbed ASPIRE, could revolutionize how we interact with our digital helpers by encouraging them to express doubt when they’re unsure of an answer. The innovation, showcased at the EMNLP 2023 conference, is all about instilling a sense of caution in AI responses.
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