Abstract: The advent of 6G networks places very high demands on ultra-low latency, high throughput, and quantum-secure communication to power Industry 5.0 use cases. Traditional blockchain ...

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...

The exponential growth of network complexity, traffic volume and security demands is challenging the scalability of classical automation frameworks. Artificial intelligence (AI) has improved network ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

In this article, we will look at the 10 Best Performing Quantum Computing Stocks in 2025. On November 12, Ray Harishankar, IBM Fellow at IBM Research, appeared on a CNBC interview to discuss how ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Quantum computing won’t break Bitcoin in 2026, but the growing practice of “harvest now, decrypt later” is pushing the crypto industry to prepare sooner rather than later. Quantum computing has long ...

Inside IBM’s main research center rises a maze of silver towers, each 22 feet tall. Through their vented flanks, you catch glimpses of blinking lights and the shadows of wires. The machine’s ...

Microsoft and Alphabet have resources that quantum computing pure-plays could only dream about. Nvidia has launched a device that allows for a hybrid quantum computing approach. All three of these ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...