The quest for more efficient and versatile computing methods has given rise to innovative solutions, moving beyond traditional digital architectures. The limitations of the von Neumann architecture, which separates memory from processing units, have prompted the exploration of new frontiers in artificial intelligence.The quest for more efficient and versatile computing methods has given rise to innovative solutions, moving beyond traditional digital architectures. The limitations of the von Neumann architecture, which separates memory from processing units, have prompted the exploration of new frontiers in artificial intelligence.[#item_full_content]

The troubling presence of racial bias in AI output may be easier to contain than many thought. Scientists at AI research company Anthropic say a little politeness may just do the trick, at least in some instances.The troubling presence of racial bias in AI output may be easier to contain than many thought. Scientists at AI research company Anthropic say a little politeness may just do the trick, at least in some instances.[#item_full_content]

Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers at the University of California, Berkeley have found.Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers at the University of California, Berkeley have found.[#item_full_content]

In today’s data-driven world, data analytics has become a cornerstone of decision-making. However, despite the transformative potential, a significant number of analytics projects fail.In today’s data-driven world, data analytics has become a cornerstone of decision-making. However, despite the transformative potential, a significant number of analytics projects fail.[#item_full_content]

In a study evaluating the bias in OpenAI’s CLIP, a model that pairs text and images and operates behind the scenes in the popular DALL-E image generator, University of Michigan researchers found that CLIP performs poorly on images that portray low-income and non-Western lifestyles.In a study evaluating the bias in OpenAI’s CLIP, a model that pairs text and images and operates behind the scenes in the popular DALL-E image generator, University of Michigan researchers found that CLIP performs poorly on images that portray low-income and non-Western lifestyles.[#item_full_content]

Twitch. Some see it as a fun online community of gamers and good-natured e-sports fandom. For others, it’s a perilous stream of potentially toxic content and hate speech.Twitch. Some see it as a fun online community of gamers and good-natured e-sports fandom. For others, it’s a perilous stream of potentially toxic content and hate speech.[#item_full_content]

Multilingual language models, or MLMs, are machine learning models that can predict, generate, and extract text from more than one language. They’re useful for cross-lingual communication, translation, and more—but tend to work best when they’re only focused on a few languages.Multilingual language models, or MLMs, are machine learning models that can predict, generate, and extract text from more than one language. They’re useful for cross-lingual communication, translation, and more—but tend to work best when they’re only focused on a few languages.[#item_full_content]

ChatGPT may do an impressive job at correctly answering complex questions, but a new study suggests it may be absurdly easy to convince the AI chatbot that it’s in the wrong.ChatGPT may do an impressive job at correctly answering complex questions, but a new study suggests it may be absurdly easy to convince the AI chatbot that it’s in the wrong.[#item_full_content]

EPFL researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning hardware.EPFL researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning hardware.[#item_full_content]

Song mashups are a staple of many DJs, who mix the vocals and instrumentals from two or more tracks into a seamless blend, creating a new and exciting final product. While the result is fun to listen to, the creation process can often be challenging, requiring knowledge and expertise to select the right tracks and mash them together perfectly.Song mashups are a staple of many DJs, who mix the vocals and instrumentals from two or more tracks into a seamless blend, creating a new and exciting final product. While the result is fun to listen to, the creation process can often be challenging, requiring knowledge and expertise to select the right tracks and mash them together perfectly.[#item_full_content]