Artificial intelligence excels at sorting through information and detecting patterns or trends. But these machine learning algorithms need to be trained with large amounts of data first.Artificial intelligence excels at sorting through information and detecting patterns or trends. But these machine learning algorithms need to be trained with large amounts of data first.[#item_full_content]

Generative artificial intelligence (AI) might be best known from text or image-creating applications like ChatGPT or Stable Diffusion. But its usefulness beyond that is being shown in more and more different scientific fields.Generative artificial intelligence (AI) might be best known from text or image-creating applications like ChatGPT or Stable Diffusion. But its usefulness beyond that is being shown in more and more different scientific fields.[#item_full_content]

Google and the XPrize Foundation have launched a competition worth US$5 million (£4 million) to develop real-world applications for quantum computers that benefit society—by speeding up progress on one of the UN Sustainable Development Goals, for example. The principles of quantum physics suggest quantum computers could perform very fast calculations on particular problems, so this competition may expand the range of applications where they have an advantage over conventional computers.Google and the XPrize Foundation have launched a competition worth US$5 million (£4 million) to develop real-world applications for quantum computers that benefit society—by speeding up progress on one of the UN Sustainable Development Goals, for example. The principles of quantum physics suggest quantum computers could perform very fast calculations on particular problems, so this competition may expand the range of applications where they have an advantage over conventional computers.[#item_full_content]

A growing number of tools enable users to make online data representations, like charts, that are accessible for people who are blind or have low vision. However, most tools require an existing visual chart that can then be converted into an accessible format.A growing number of tools enable users to make online data representations, like charts, that are accessible for people who are blind or have low vision. However, most tools require an existing visual chart that can then be converted into an accessible format.[#item_full_content]

Humans are very good at spotting patterns, or repeating features people can recognize. For instance, ancient Polynesians navigated across the Pacific by recognizing many patterns, from the stars’ constellations to more subtle ones such as the directions and sizes of ocean swells.Humans are very good at spotting patterns, or repeating features people can recognize. For instance, ancient Polynesians navigated across the Pacific by recognizing many patterns, from the stars’ constellations to more subtle ones such as the directions and sizes of ocean swells.[#item_full_content]

The Massachusetts Institute of Technology’s (MIT) Distinctive Collections archive is quiet while the blizzard blows outside. Silence seems to be accumulating with the falling snow. I am the only researcher in the archive, but there is a voice that I am straining to hear.The Massachusetts Institute of Technology’s (MIT) Distinctive Collections archive is quiet while the blizzard blows outside. Silence seems to be accumulating with the falling snow. I am the only researcher in the archive, but there is a voice that I am straining to hear.[#item_full_content]

Combinatorial optimization problems (COPs) have applications in many different fields such as logistics, supply chain management, machine learning, material design and drug discovery, among others, for finding the optimal solution to complex problems. These problems are usually very computationally intensive using classical computers and thus solving COPs using quantum computers has attracted significant attention from both academia and industry.Combinatorial optimization problems (COPs) have applications in many different fields such as logistics, supply chain management, machine learning, material design and drug discovery, among others, for finding the optimal solution to complex problems. These problems are usually very computationally intensive using classical computers and thus solving COPs using quantum computers has attracted significant attention from both academia and industry.[#item_full_content]

Large language models, such as those that power popular artificial intelligence chatbots like ChatGPT, are incredibly complex. Even though these models are being used as tools in many areas, such as customer support, code generation, and language translation, scientists still don’t fully grasp how they work.Large language models, such as those that power popular artificial intelligence chatbots like ChatGPT, are incredibly complex. Even though these models are being used as tools in many areas, such as customer support, code generation, and language translation, scientists still don’t fully grasp how they work.[#item_full_content]

Leading computer scientists from around the world have shared their vision for the future of artificial intelligence—and it resembles the capabilities of Star Trek character “The Borg.”Leading computer scientists from around the world have shared their vision for the future of artificial intelligence—and it resembles the capabilities of Star Trek character “The Borg.”[#item_full_content]

Walter Benjamin came up with aura and authenticity in “The Work of Art in the Age of Mechanical Reproduction” in 1936 to describe the value of original artworks created by artists instead of mechanical copies. He wanted to defend artificiality and support traditional fine arts.Walter Benjamin came up with aura and authenticity in “The Work of Art in the Age of Mechanical Reproduction” in 1936 to describe the value of original artworks created by artists instead of mechanical copies. He wanted to defend artificiality and support traditional fine arts.[#item_full_content]