Toggle light / dark theme

Researchers have developed a cutting-edge optical computing system that represents a major leap in the field of optical logic.

Traditionally, optical logic computing—using light to perform logical operations—has faced challenges when trying to handle more than four inputs due to limitations in…


Researchers have long sought to harness the power of light for computing, aiming to achieve higher speeds and lower energy consumption compared to traditional electronic systems. Optical computing, which uses light instead of electricity to perform calculations, promises significant advantages, including high parallelism and efficiency. However, implementing complex logic operations optically has been a challenge, limiting the practical applications of optical computing.

A recent breakthrough by researchers at Huazhong University of Science and Technology and the Wuhan National Laboratory for Optoelectronics has pushed the boundaries of optical computing. As reported in Advanced Photonics, they developed a large-scale optical programmable array (PLA) capable of handling more complex computations. This new optical PLA uses parallel spectrum modulation to achieve an 8-input system, significantly expanding the capabilities of optical logic operations.

Today, more than a quarter of all new code at Google is generated by AI, then reviewed and accepted by engineers.


More than a quarter of Google’s new code is being generated by artificial intelligence (AI), CEO Sundar Pichai revealed during Tuesday’s third-quarter earnings call for the leading tech company.

We’re also using AI internally to improve our coding processes, which is boosting productivity and efficiency, Pichai said during the call.

This was first reported by the Wall Street Journal. This comes after the company recently received a fundraise of $6 billion in a Series B round. The company said in a statement that the funding saw participation from several key investors, including Valor Equity Partners, Vy Capital, Andreessen Horowitz, Sequoia Capital, Fidelity Management & Research Company, Prince Alwaleed Bin Talal, Kingdom Holding, and others.

NASA and SpaceX are targeting 9:29 p.m. EST, Monday, Nov. 4, for the next launch to deliver science investigations, supplies, and equipment to the International Space Station. This is the 31st SpaceX commercial resupply services mission to the orbital laboratory for the agency.

Filled with nearly 6,000 pounds of supplies, a SpaceX Dragon spacecraft on a Falcon 9 rocket will lift off from Launch Complex 39A at NASA’s Kennedy Space Center in Florida.

Live launch coverage will begin at 9:10 p.m. on NASA+ and the agency’s website. Learn how to watch NASA content through a variety of platforms, including social media.

“Al-determined tumor volume has the potential to advance precision medicine for patients with prostate cancer by improving our ability to understand the aggressiveness of a patient’s cancer and therefore recommend the most optimal treatment,” said Dr. David D. Yang, MD.


How can artificial intelligence (AI) help medical professionals identify, diagnose, and treat prostate cancer? This is what a recent study published in Radiology hopes to address as a team of researchers developed an AI model designed to identify prostate cancer lesions, which holds the potential to help medical professionals and patients make the best-informed decisions regarding diagnoses and treatment options.

For the study, which was conducted between January 2021 to August 2023, the researchers had their AI model examine MRI scans from 732 patients, including 438 patients who underwent radiation therapy (RT) and 294 patients who underwent radical prostatectomy (RP). The goal was to compare a potential success rate of the AI model identifying tumors compared to patient treatment between 5 to 10 years after being diagnosed.

In the end, the AI model demonstrated an 85 percent accuracy in identifying cancerous lesions. Additionally, the AI model identified the larger volume lesions that resulted in failed treatment and metastasis, which is when cancer tumors spread beyond the original location within the body. Finally, the AI model determined that RT patients were at a decreased risk of metastasis based on their tumor volumes.

“The Moon’s South Pole is a completely different environment than where we landed during the Apollo missions,” said Dr. Sarah Noble. “It offers access to some of the Moon’s oldest terrain, as well as cold, shadowed regions that may contain water and other compounds.”


Where will NASA’s Artemis Program precisely land astronauts near the lunar south pole? This is what the famed space agency hopes to figure out as they recently narrowed the list of potential landing regions from 13 to 9, underscoring NASA’s ongoing urgency in selecting a final landing site prior to landing astronauts on the Moon with the Artemis III in the next few years, along with landing the first woman and person of color on the lunar surface, as well. The selected regions will provide scientific opportunities based on geology, terrain, and access to water ice, the latter of which can be used for fuel, drinking, creating oxygen through electrolysis, and much more.

NASA has identified the following potential landing regions not listed in priority: Peak near Cabeus B, Haworth, Malapert Massif, Mons Mouton Plateau, Mons Mouton, Nobile Rim 1, Nobile Rim 2, de Gerlache Rim 2, Slater Plain. Each landing region consists of several square miles with more precise landing sites being determined later.

The Australian Energy Market Operator has reported a significant increase in the capacity of new wind, solar and storage projects seeking a grid connection, with the total now exceeding 45 gigawatts for the first time.

AEMO’s latest connection scorecard and its Quarterly Energy Dynamics report for the September quarter says that the capacity of projects going through the connection process – from application to commissioning – has jumped by more than one third to 45.6 GW.

The biggest jump came in battery storage, which nearly doubled from the same period a year earlier to 14.7 GW, confirming that it remains the strongest part of Australia’s sometimes faltering green energy transition (the storage number for batteries varies from project to project and in some early development cases is not settled).