🤖 Computer Science

Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model

Software defect prediction aims to identify defects and help allocate resources effectively. Traditional features miss semantic code differences, while semantic features lack metrics like size and complexity. A new hybrid model integrates both using a CNN for semantic features and an MLP for traditional ones. This combined approach improves prediction accuracy and outperforms existing methods.

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Robotic tasks are becoming more complex, challenging traditional models with high costs and forgetting issues. The Sparse Diffusion Policy (SDP) addresses these by using a Mixture of Experts (MoE) in a transformer model to selectively activate skills. SDP reduces active parameters, prevents forgetting, and enables efficient task transfer, excelling in multitask scenarios.

⚛️ Physics and Chemistry

World's most accurate and precise atomic clock pushes new frontiers in physics

Scientists at JILA have developed the most precise atomic clock to date, enabling advanced applications like space navigation, particle searches, and testing fundamental theories such as general relativity. This new clock uses visible light waves instead of microwaves, significantly improving accuracy. The scientific community is now considering redefining the second based on these next-generation optical atomic clocks.

Glassy gel superpolymer is sticky and can self-heal but is also hard yet stretchy

A new class of polymer, called "glassy gels," has been developed. This material is transparent and hard like plexiglass, but also stretchy, adhesive, self-healing, shape-memory, and electrically conductive. Containing an ionic liquid solvent, glassy gels combine the properties of hard, brittle glassy polymers and soft, stretchy ionogels. This innovation could lead to various applications, including batteries. The discovery was led by Miaxing Wang at North Carolina State University.

🧬 Biology & Medicine

Implantable microphone could lead to fully internal cochlear implants

Cochlear implants, aiding over a million people, require external hardware, limiting some activities. Researchers have developed an implantable microphone, matching commercial ones, to move towards fully internal cochlear implants.

White Fat Cells Morphed Into Calorie-Burning Beige Fat Cells in New Experiment

Scientists at the University of California San Francisco investigated the roles of different types of fat cells: white, brown, and beige. White fat cells store energy, brown fat cells regulate body temperature by burning sugar and fat when cold, and beige fat cells can switch between storing and burning energy. Excess white fat, especially around the abdomen, can lead to health issues like inflammation, type 2 diabetes, and heart disease, common in obesity.

Bionic leg moves like a natural limb — without conscious thought

A new robotic leg controlled by brain and spinal cord signals allows amputees to walk almost as fast as non-amputees. Using a nerve signal-amplifying interface, users can move the prosthetic limb with their thoughts and reflexes, achieving better speed, balance, and mobility in a clinical trial reported in Nature Medicine.

🔭 Space & Astronomy

Firefly is building fast and breaking things on path to a reusable rocket

Firefly Aerospace and Northrop Grumman are jointly developing a new medium-lift rocket, the Medium Launch Vehicle (MLV), designed to feature a recoverable booster for reuse. This innovation aims to enhance economic competitiveness by avoiding the need for additional infrastructure and offering competitive pricing for customers.

NASA’s Upgraded Hyperwall Offers Improved Data Visualization

In May, NASA's Ames Research Center upgraded its hyperwall system to its fourth generation. The system, featuring LCD panels with over a billion pixels across a 300-square foot display, is one of the world's largest and most advanced visualization tools. It helps researchers analyze vast datasets with enhanced resolution and explore data from different perspectives.

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