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Categories: Computer Science: Artificial Intelligence (AI), Offbeat: Computers and Math

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Engineers have developed artificial intelligence (AI) technology to predict if women with breast cancer would benefit from chemotherapy prior to surgery.

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FRIDA, a robotic arm with a paintbrush taped to it, uses artificial intelligence to collaborate with humans on works of art. Ask FRIDA to paint a picture, and it gets to work putting brush to canvas. The robot uses AI models similar to those powering tools like OpenAI's ChatGPT and DALL-E 2, which generate text or an image, respectively, in response to a prompt. FRIDA simulates how it would paint an image with brush strokes and uses machine learning to evaluate its progress as it works. FRIDA's final products are impressionistic and whimsical. The brushstrokes are bold. They lack the precision sought so often in robotic endeavors. If FRIDA makes a mistake, it riffs on it, incorporating the errant splotch of paint into the end result.

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Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these large language models write smaller linear models inside their hidden layers, which the large models can train to complete a new task using simple learning algorithms.

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Can a pigeon match wits with artificial intelligence? Researchers tested pigeons' learning abilities and concluded the birds employ the same basic process, called associative learning, as the most advanced AI technologies.

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Researchers developed a new approach to building deformable underwater robots, using simple repeating substructures. The team demonstrated the new system in two different example configurations, one like an eel and the other a wing-like hydrofoil.

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Performing human-like motions that involve multiple contacts is challenging for robots. In this regard, a researcher has envisioned an interactive cyber-physical human (iCPH) platform with complementary humanoid (physical twin) and simulation (digital twin) elements. iCPH combines human measurement data, musculoskeletal analysis, and machine learning for data collection and augmentation. As a result, iCPH can understand, predict, and synthesize whole-body contact motions.

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Trapped ions have previously only been entangled in one and the same laboratory. Now, teams have entangled two ions over a distance of 230 meters. The nodes of this network were housed in two labs at the Campus Technik to the west of Innsbruck, Austria. The experiment shows that trapped ions are a promising platform for future quantum networks that span cities and eventually continents.

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Humans are less forgiving of robots after multiple mistakes -- and the trust is difficult to get back, according to a new study.

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A new 'outside-the-box' method of teaching artificial intelligence (AI) models to make decisions could provide hope for finding new therapeutic methods for cancer, according to a new study.

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When it comes to the 'evolution' of mobile robots, it may be a long time before legged robots are able to safely interact in the real world, according to a new study.

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Researchers have developed an automated driving system based on the concept of 'collaborative steering', which aims to increase transportation safety, efficiency, and comfort by encouraging active interaction between autonomous vehicles and their human drivers.

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Researchers have applied a deep learning technique to a previously studied dataset of nearby stars and uncovered eight previously unidentified signals of interest.

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Researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders.

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The loss of pollinators, such as bees, is a huge challenge for global biodiversity and affects humanity by causing problems in food production. Researchers have now developed the first passively flying robot equipped with artificial muscle. Could this artificial fairy be utilized in pollination?

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In the global push for practical quantum networks and quantum computers, an international team of researchers has demonstrated a leap in preserving the quantum coherence of quantum dot spin qubits.

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In a new breakthrough, researchers have solved a problem that has caused quantum researchers headaches for years. The researchers can now control two quantum light sources rather than one. Trivial as it may seem to those uninitiated in quantum, this colossal breakthrough allows researchers to create a phenomenon known as quantum mechanical entanglement. This in turn, opens new doors for companies and others to exploit the technology commercially.

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Quasiparticles -- long-lived particle-like excitations -- are a cornerstone of quantum physics, with famous examples such as Cooper pairs in superconductivity and, recently, Dirac quasiparticles in graphene. Now, researchers have discovered quasiparticles in a classical system at room temperature: a two-dimensional crystal of particles driven by viscous flow in a microfluidic channel. Coupled by hydrodynamic forces, the particles form stable pairs -- a first example of classical quasiparticles, revealing deep links between quantum and classical dissipative systems.

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Scientists have created an AI system capable of generating artificial enzymes from scratch. In laboratory tests, some of these enzymes worked as well as those found in nature, even when their artificially generated amino acid sequences diverged significantly from any known natural protein.

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Meet the new addition to the robo-dog family, 'RaiBo', that can run along the sandy beach without losing balance and walk through grassy fields and back on the hard-floored tracking fields all on its own -- no further tinkering necessary.

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Inspired by sea cucumbers, engineers have designed miniature robots that rapidly and reversibly shift between liquid and solid states. On top of being able to shape-shift, the robots are magnetic and can conduct electricity. The researchers put the robots through an obstacle course of mobility and shape-morphing tests.