Developers can now integrate large language models directly into their existing software using a single line of code, with no manual prompt engineering required. The open-source framework, known as byLLM, automatically generates context-aware prompts based on the meaning and structure of the program, helping developers avoid hand-crafting detailed prompts, according to a conference paper presented at the SPLASH conference in Singapore in October 2025 and published in the Proceedings of the ACM on Programming Languages.Developers can now integrate large language models directly into their existing software using a single line of code, with no manual prompt engineering required. The open-source framework, known as byLLM, automatically generates context-aware prompts based on the meaning and structure of the program, helping developers avoid hand-crafting detailed prompts, according to a conference paper presented at the SPLASH conference in Singapore in October 2025 and published in the Proceedings of the ACM on Programming Languages.[#item_full_content]

Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call guidance, can dramatically improve the performance of architectures previously thought unsuitable for modern tasks.Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call guidance, can dramatically improve the performance of architectures previously thought unsuitable for modern tasks.[#item_full_content]

A University of Texas at Dallas researcher and his collaborators have developed an artificial intelligence (AI)-assisted tool that makes it possible for visually impaired computer programmers to create, edit and verify 3D models independently.A University of Texas at Dallas researcher and his collaborators have developed an artificial intelligence (AI)-assisted tool that makes it possible for visually impaired computer programmers to create, edit and verify 3D models independently.[#item_full_content]

When Darren Jarman kicked an astounding five goals in the last quarter of the 1997 AFL Grand Final, I was 8 years old.When Darren Jarman kicked an astounding five goals in the last quarter of the 1997 AFL Grand Final, I was 8 years old.[#item_full_content]

Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it lifts the object. Unlike traditional rigid robots that generally aim to avoid contact with the environment as much as possible and stay far away from humans for safety reasons, this arm senses subtle forces, stretching and flexing in ways that mimic more of the compliance of a human hand. Its every motion is calculated to avoid excessive force while achieving the task efficiently.Imagine having a continuum soft robotic arm bend around a bunch of grapes or broccoli, adjusting its grip in real time as it lifts the object. Unlike traditional rigid robots that generally aim to avoid contact with the environment as much as possible and stay far away from humans for safety reasons, this arm senses subtle forces, stretching and flexing in ways that mimic more of the compliance of a human hand. Its every motion is calculated to avoid excessive force while achieving the task efficiently.[#item_full_content]

Inland waterway transportation has played a limited role in Europe so far, with a share of about 6%. Together with 15 partners, Fraunhofer researchers are seeking to change this with the EU project CRISTAL.Inland waterway transportation has played a limited role in Europe so far, with a share of about 6%. Together with 15 partners, Fraunhofer researchers are seeking to change this with the EU project CRISTAL.[#item_full_content]

Vision-language model (VLM) is a core technology of modern artificial intelligence (AI), and it can be used to represent different forms of expression or learning, such as photographs, illustrations, and sketches.Vision-language model (VLM) is a core technology of modern artificial intelligence (AI), and it can be used to represent different forms of expression or learning, such as photographs, illustrations, and sketches.[#item_full_content]

When large language models (LLMs) make decisions about networking and friendship, the models tend to act like people, across both synthetic simulations and real-world network contexts.When large language models (LLMs) make decisions about networking and friendship, the models tend to act like people, across both synthetic simulations and real-world network contexts.[#item_full_content]

Large language models (LLMs) such as ChatGPT and Gemini were originally designed to work with text only. Today, they have evolved into systems that can work with many types of information at once (multimodal systems), as well as understand and generate images, audio, speech and music.Large language models (LLMs) such as ChatGPT and Gemini were originally designed to work with text only. Today, they have evolved into systems that can work with many types of information at once (multimodal systems), as well as understand and generate images, audio, speech and music.[#item_full_content]

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation using arrays—collections of values that make it easier to describe operations on data. That simple idea evolved into today’s “tensors,” which power many of the world’s most advanced AI and scientific computing systems through modern frameworks like NumPy and PyTorch.When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation using arrays—collections of values that make it easier to describe operations on data. That simple idea evolved into today’s “tensors,” which power many of the world’s most advanced AI and scientific computing systems through modern frameworks like NumPy and PyTorch.[#item_full_content]