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Dexterous robotic hand integrates thermal, inertial and force sensors

While roboticists have introduced increasingly advanced systems over the past decades, most existing robots are not yet able to manipulate objects with the same dexterity and sensing ability as humans. This, in turn, adversely impacts their performance in various real-world tasks, ranging from household chores to the clearing of rubble after natural disasters and the assembly or performing maintenance tasks, particularly in high-temperature working environments such as steel mills and foundries, where elevated temperatures can significantly degrade performance and compromise the precision required for safe operations.

Researchers at the University of Southern California recently developed the MOTIF (Multimodal Observation with Thermal, Inertial, and Force sensors) hand, a new robotic hand that could improve the object manipulation capabilities of humanoid robots. The innovation, presented in a paper posted to the arXiv preprint server, features a combination of sensing devices, including , a depth sensor, a , inertial measurement unit (IMU) sensors and a visual sensor.

“Our paper emerged from the need to advance robotic manipulation beyond traditional visual and tactile sensing,” Daniel Seita, Hanyang Zhou, Wenhao Liu, and Haozhe Lou told Tech Xplore. “Current multi-fingered robotic hands often lack the integrated sensing capabilities necessary for involving thermal awareness and responsive contact feedback.”

New study tackles dynamics of common—and difficult—sailing maneuver

Tacking—a maneuver used to sail a boat against the wind, changing direction in a zig-zag fashion—is one of the most difficult but necessary sailing maneuvers. While tacking is common, the movement of the sails and wind forces during the turn are not well understood.

Expanding the material design space at the nanoscale

Researchers are creating new moiré materials at the nanometer scale using advanced DNA nanotechnology. DNA moiré superlattices form when two periodic DNA lattices are overlaid with a slight rotational twist or positional offset. This creates a new, larger interference pattern with completely different physical properties.

Can AI really code? Study maps the roadblocks to autonomous software engineering

Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled code, migrating legacy systems, and hunting down race conditions, so that human engineers can devote themselves to architecture, design, and the genuinely novel problems still beyond a machine’s reach.

Recent advances appear to have nudged that future tantalizingly close, but a new paper by researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and several collaborating institutions argues that this potential future reality demands a hard look at present-day challenges.

Titled “Challenges and Paths Towards AI for Software Engineering,” the work maps the many software-engineering tasks beyond code generation, identifies current bottlenecks, and highlights research directions to overcome them, aiming to let humans focus on high-level design while routine work is automated. The paper is available on the arXiv preprint server, and the researchers are presenting their work at the International Conference on Machine Learning (ICML 2025) in Vancouver.

Toward quantum enhanced coherent Ising machines

The Graduate School of Information Science (GSIS) at Tohoku University, together with the Physics and Informatics (PHI) Lab at NTT Research, Inc., have jointly published a paper in the journal Quantum Science and Technology. The study involved studying a combinatorial clustering problem, a representative task in unsupervised machine learning.

Together, the two institutions are researching methods to bring to life a large-scale CIM simulation platform using conventional high-performance computing (HPC). This large-scale CIM will be critical to enabling cyber CIMs that will be widely accessible for solving hard NP, NP-complete and NP-hard problems.

The collaboration kicked off in 2023 with Hiroaki Kobayashi, Professor at the GSIS at Tohoku University, acting as the principal investigator for the joint research agreement (JRA), with PHI Lab Director Yoshihisa Yamamoto joining as the NTT Research counterpart to Kobayashi.

How a triatomic molecule works off excess energy

A resonance effect can significantly affect how a three-atom molecule cools down when excited, RIKEN physicists have found. The study, published in Physical Review A, highlights the complexity of the relaxation dynamics of even simple molecules.

Small, energetic molecules in a vacuum—such as those in the upper atmosphere or —can either break apart or cool down by releasing their energy through emitting light.

“The energy-dissipation mechanism of molecules via is crucial to understanding the stability of hot, excited molecules,” says Toshiyuki Azuma of the RIKEN Atomic, Molecular & Optical Physics Laboratory. “It’s essential in in dilute environments such as Earth’s .”

Tunneling magnetoresistance in altermagnetic RuO₂-based magnetic tunnel junctions

A research team affiliated with UNIST announced the successful development of a novel semiconductor device that uses a new class of materials, known as altermagnetism. This breakthrough is expected to significantly advance the development of ultra-fast, energy-efficient AI semiconductor chips.

Jointly led by Professor Jung-Woo Yoo from the Department of Materials Science and Engineering and Professor Changhee Sohn from the Department of Physics at UNIST, the team succeeded in fabricating (MTJs) using altermagnetic ruthenium oxide (RuO2). They also measured a practical level of tunneling magnetoresistance (TMR) in these devices, demonstrating their potential for spintronic applications.

The research was led by Seunghyun Noh from the Department of Materials Science and Engineering and Kyuhyun Kim from the Department of Physics at UNIST. The findings were published in Physical Review Letters on June 20, 2025.

New microscopy technique achieves 1-nanometer resolution for atomic-scale imaging

Understanding the interaction between light and matter at the smallest scales (angstrom scale) is essential for advancing technology and materials science. Atomic-scale structures, such as defects in diamonds or molecules in electronic devices, can significantly influence a material’s optical properties and functionality. To explore these tiny structures, we need to extend the capabilities of optical microscopy.

Researchers at the Fritz-Haber Institute of the Max-Planck Society, Germany, and their international collaborators at Institute for Molecular Science/SOKENDAI, Japan and CIC nanoGUNE, Spain have developed an approach to scattering-type scanning near-field optical microscopy (s-SNOM) that achieves a spatial resolution of 1 nanometer. This technique, termed as ultralow tip oscillation amplitude s-SNOM (ULA-SNOM), combines advanced microscopy methods to visualize materials at the atomic level.

The work is published in the journal Science Advances.

Cosmic Heavyweights Collide — LIGO Detects Largest, Fastest-Spinning Black Holes Yet

In addition to their high masses, the black holes are also rapidly spinning.

“This is the most massive black hole binary we’ve observed through gravitational waves, and it presents a real challenge to our understanding of black hole formation,” says Mark Hannam of Cardiff University and a member of the LVK Collaboration. “Black holes this massive are forbidden through standard stellar evolution models. One possibility is that the two black holes in this binary formed through earlier mergers of smaller black holes.”