In World First, CCTV Captures Supershear Velocity Earthquake
Summary For the first time, a CCTV camera in Myanmar has captured real-time footage of a supershear strike-slip earthquake moving at an astonishing 3.7 miles per second. This event, which…
Summary For the first time, a CCTV camera in Myanmar has captured real-time footage of a supershear strike-slip earthquake moving at an astonishing 3.7 miles per second. This event, which…
Researchers from La Sapienza University in Rome have developed WhoFi, a system that tracks humans based on the way their bodies distort Wi-Fi signals. By analysing these distortions with a…
Researchers from La Sapienza University in Rome have developed a system called ‘WhoFi’ that can track individuals by analysing how their bodies distort Wi-Fi signals. This innovative method employs a…
Content Summary Nvidia has revealed that its CUDA software platform will now support the RISC-V instruction set architecture (ISA) at the 2025 RISC-V Summit in China. This compatibility is a…
In World First, CCTV Captures Supershear Velocity Earthquake A CCTV camera in Myanmar has made history by capturing real-time footage of a supershear strike-slip earthquake that travelled at an extraordinary…
Nvidia’s CUDA Platform Now Support RISC-V Nvidia has announced the compatibility of its CUDA software platform with the RISC-V instruction set architecture at the 2025 RISC-V Summit in China. This…
In World First, CCTV Captures Supershear Velocity Earthquake A CCTV camera in Myanmar captured real-time footage of a supershear strike-slip earthquake moving at a staggering 3.7 miles per second. This…
Researchers at La Sapienza University in Rome have developed a system called WhoFi, which utilizes the way a person’s body distorts Wi-Fi signals to re-identify them across different locations, achieving…
Nvidia’s CUDA Platform Now Support RISC-V Nvidia has announced compatibility of its CUDA platform with the RISC-V instruction set architecture (ISA) during the 2025 RISC-V Summit in China. This move…
Researchers at La Sapienza University in Rome have developed a system called WhoFi that can identify individuals based on how their bodies alter Wi-Fi signals. By training a deep neural…