Wouldn’t it be great if music creators had someone to brainstorm with, help them when they’re stuck, and explore different musical directions together? Researchers at KAIST and Carnegie Mellon University (CMU) have developed AI technology similar to a fellow songwriter who helps create music.
The work is published in Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems.
The system developed by Professor Sung-Ju Lee’s research team, Amuse, is an AI-based system that converts various forms of inspiration such as text, images, and audio into harmonic structures (chord progressions) to support composition.
A research team led by Professor Yong-Young Noh and Dr. Youjin Reo from the Department of Chemical Engineering at POSTECH (Pohang University of Science and Technology) has developed a technology poised to transform next-generation displays and electronic devices.
The project was a collaborative effort with Professors Ao Liu and Huihui Zhu from the University of Electronic Science and Technology of China (UESTC), and the findings were published in Nature Electronics.
Every time we stream videos or play games on our smartphones, thousands of transistors operate tirelessly behind the scenes. These microscopic components function like traffic signals, regulating electric currents to display images and ensure smooth app operation.
Feelings and experiences vary widely. For example, I run my fingers over sandpaper, smell a skunk, feel a sharp pain in my finger, seem to see bright purple, become extremely angry. In each of these cases, I am the subject of a mental state with a very distinctive subjective character. There is something it is like for me to undergo each state, some phenomenology that it has. Philosophers often use the term (singular ‘quale’) to refer to the introspectively accessible, phenomenal aspects of our mental lives. In this broad sense of the term, it is difficult to deny that there are Disagreement typically centers on which mental states have, whether are intrinsic qualities of their bearers, and how relate to the physical world both inside and outside the head. The status of is hotly debated in philosophy largely because it is central to a proper understanding of the nature of consciousness. are at the very heart of the mind-body problem.
The entry that follows is divided into ten sections. The first distinguishes various uses of the term The second addresses the question of which mental states have The third section brings out some of the main arguments for the view that are irreducible and non-physical. The remaining sections focus on functionalism and, the explanatory gap, and introspection, representational theories of, as intrinsic, nonrepresentational properties, relational theories of and finally the issue of and simple minds.
We are still uncertain about what a wavefunction actually is but recent measurements are starting to make this picture clearer. This problem has been around since the beginning of quantum mechanics. Albert Einstein, Neils Bohr, Werner Heisenberg, Erwin Schrodinger, and many more famous physicists have struggled with this problem but no one has come up with a definitive answer.
In this video, I discuss some of the interpretations of quantum mechanics and how these new measurements change some of our theories.
There are many great videos about interpretations, check out references [6] and [7] if you want to know more.
A new study introduces a language-agent framework that translates plain English into quantum chemistry computations, signaling a shift toward more accessible and automated scientific workflows.
Researchers have built an AI system called El Agente Q that integrates large language models (LLMs) with quantum chemistry software to autonomously plan, execute, and explain computational chemistry tasks. The system is capable of understanding general scientific queries, breaking them into step-by-step procedures, selecting the right tools, and solving quantum mechanical problems with minimal human intervention.
A new AI agent uses large language models to autonomously interpret natural language prompts and carry out quantum chemistry computations.
Amazon unveils Vulcan, a groundbreaking robot with a “genuine sense of touch” to revolutionize warehouse operations. Can Vulcan outpace human stowers in efficiency and creativity? With robots stowing 80% of 14 billion items annually, the future of logistics is here. Are you ready for it?
Amazon has a new warehouse robot that, for the first time, can “feel” the items it’s handling. CNBC got an exclusive first look at Vulcan in action at a warehouse in Spokane, Washington, where it stows items in tall yellow bins. Until now, only humans could handle the stowing job, but Amazon says Vulcan will create new jobs instead of eliminating them. Amazon wouldn’t disclose how much it cost to develop Vulcan, but it says it took three years and a team that’s grown to 250 people.
Chapters: 0:00 Introduction. 1:24 Sense of touch. 5:30 Replacing workers? 8:22 Speed, safety and scale.
Produced and shot by: Katie Tarasov. Edited by: Evan Lee Miller. Senior Director of Video: Jeniece Pettitt. Animation: Mallory Brangan. Additional Footage: Amazon, Getty Images.
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