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Caltech engineers have introduced an innovative metasurface that manipulates light to provide multiple communication channels at optical frequencies.

This technology promises to enhance data transmission in various fields including space communications and LiDAR, moving beyond traditional electronic methods and offering substantial bandwidth improvements.

Revolutionizing Wireless Communication With Metasurfaces.

Recent advancements in AI and robotics have led to significant breakthroughs, including a robot with a brain-on-a-chip in China and Skild AI’s development of a universal robot brain for complex tasks. Meanwhile, Zen Technologies in India has introduced Prahasta, a four-legged robot equipped with advanced LIDAR and AI for defense purposes, capable of navigating difficult terrains and carrying heavy loads. These innovations highlight the rapid evolution of robotics technology, blending artificial intelligence with physical capabilities in unprecedented ways, poised to transform industrial, defense, and healthcare sectors.

#ai #robot

Researchers developed adjustable arrays of waveguides that introduce synthetic modal dimensions, enhancing the management of light within photonic systems. This innovation has potential applications ranging from mode lasing to quantum optics and data transmission.

In the realm of physics, synthetic dimensions (SDs) have emerged as a cutting-edge research frontier, providing a means to investigate phenomena in higher-dimensional spaces beyond our conventional 3D geometry. This concept has gained substantial attention, particularly in topological photonics, due to its potential to reveal complex physics that cannot be accessed within traditional dimensions.

Researchers have proposed various theoretical frameworks to study and implement SDs, aiming at harnessing phenomena like synthetic gauge fields, quantum Hall physics, discrete solitons, and topological phase transitions in four dimensions or higher. Those proposals could lead to new fundamental understandings in physics.

IMDEA Software researchers Facundo Molina, Juan Manuel Copia and Alessandra Gorla present FIXCHECK, a novel approach to improve patch fix analysis that combines static analysis, randomized testing and large language models.

Their innovations, embodied in the paper: “Improving Patch Correctness Analysis via Random Testing and Large Language Models” were presented at the International Conference on Software Testing, Verification and Validation (ICST 2024), and additional details are available on the Zenodo server.

Generating patches that fix software defects is a crucial task in the maintenance of software systems. Typically, software defects are reported via test cases, which unveil undesirable behaviors in the software.

Success with a new route to producing superheavy elements paves the way to making the elusive element 120.

It was discovered just 130 days before exploding using two telescopes in Hawaii, allowing a team of experts to investigate it before it exploded in a massive supernova.

“This is a breakthrough in our understanding of what massive stars do moments before they die,” said Dr. Wynn Jacobson-Galán, the study’s lead author.

Imagine a world where machines not only understand our words, but grasp the nuances of our emotions, anticipate our needs, and even surpass our own intelligence. This is the dream, and perhaps the near reality, of Artificial General Intelligence (AGI).

For many years, the idea of achieving AGI (Artificial General Intelligence) has only existed in the realm of science fiction. It’s been seen as a futuristic utopia where machines can seamlessly integrate into our lives. However, this perception is changing. Advances in AI technology are blurring the lines between fiction and reality, leading to both excitement and apprehension regarding its potential impact on society.

Continue reading “Unlocking the Future: The Dawn of Artificial General Intelligence?” »

A study published in Cell Reports Physical Science showcases a novel method for the recycling of unsaturated polymers such as rubber and plastics.

Serum-based glycoproteins demonstrate success in predicting immune checkpoint inhibitor therapy outcomes.