Robotics is now revolutionizing numerous industry sectors through the integration of artificial intelligence, machine learning, and reinforcement learning, as well as advances in computer vision that empower robots to make complicated judgments.
Industrial automation in factories and warehouses has been the main emphasis of robotics for many years because of its efficiency and affordability. These settings are usually regulated, organized, and predictable. Consequently, industries like manufacturing, agriculture, warehouse operations, healthcare, and security have utilized robotics to automate mundane programmable tasks.
Robotics in those and many other industries are becoming more refined and capable with the contributions of new material sciences, and artificial intelligence tools. It now appears that with those advances, we are at the precipice of building functional, dexterous, and autonomous humanoid robots that were once the topic of futurist writing.
This month’s AI news covers major breakthroughs, including humanoid robots that run and think faster than humans, and China deploying real robotic AI police on the streets. We also explore DeepMind accidentally breaking its own AI, Microsoft building its most efficient model yet, and Meta releasing a two-trillion-parameter AI called Llama 4. Plus, DeepSeek’s new self-learning AI, China’s ultra-fast AI agents, and next-gen video generators that look more real than reality are changing the game.
A humanoid robot that runs and thinks faster than humans
China’s real AI-powered police robots now patrolling streets
DeepSeek’s new self-learning AI rivaling top-tier models
DeepMind breaks its own AI with a single prompt
Microsoft accidentally creates its most efficient AI yet
Meta releases a massive two-trillion-parameter model
China unveils ultra-fast AI agents and hyper-real video generators
🎥 What You’ll See:
Advanced humanoid AI in action
Robotic cops deployed across Chinese cities
Self-improving AI models that beat OpenAI in key areas
DeepMind’s AI failure revealing system vulnerabilities
Meta’s Llama 4 shaking up the AI model race
China’s AI creating videos that look better than real life
📊 Why It Matters: From real-world AI deployments to record-breaking models, this month shows how fast AI is evolving—reshaping robotics, security, video generation, and self-learning systems in ways we’ve never seen before. #ai #openai #deepseek. Get the best AI news without the noise 👉 https://airevolutionx.beehiiv.com/
🔍 What’s Inside: A humanoid robot that runs and thinks faster than humans. China’s real AI-powered police robots now patrolling streets. DeepSeek’s new self-learning AI rivaling top-tier models. DeepMind breaks its own AI with a single prompt. Microsoft accidentally creates its most efficient AI yet. Meta releases a massive two-trillion-parameter model. China unveils ultra-fast AI agents and hyper-real video generators.
🎥 What You’ll See: Advanced humanoid AI in action. Robotic cops deployed across Chinese cities. Self-improving AI models that beat OpenAI in key areas. DeepMind’s AI failure revealing system vulnerabilities. Meta’s Llama 4 shaking up the AI model race. China’s AI creating videos that look better than real life.
📊 Why It Matters: From real-world AI deployments to record-breaking models, this month shows how fast AI is evolving—reshaping robotics, security, video generation, and self-learning systems in ways we’ve never seen before.
Researchers at the University of Rochester and Rochester Institute of Technology recently connected their campuses with an experimental quantum communications network using two optical fibers. In a new paper published in Optica Quantum, scientists describe the Rochester Quantum Network (RoQNET), which uses single photons to transmit information about 11 miles along fiber-optic lines at room temperature using optical wavelengths.
Quantum communications networks have the potential to massively improve the security with which information is transmitted, making messages impossible to clone or intercept without detection. Quantum communication works with quantum bits, or qubits, that can be physically created using atoms, superconductors, and even in defects in materials like diamond. However, photons—individual particles of light—are the best type of qubit for long distance quantum communications.
Photons are appealing for quantum communication in part because they could theoretically be transmitted over existing fiber-optic telecommunications lines that already crisscross the globe. In the future, many types of qubits will likely be utilized because qubit sources, like quantum dots or trapped ions, each have their own advantages for specific applications in quantum computing or different types of quantum sensing.
Unmanned aerial vehicles (UAVs), commonly known as drones, have already proved to be valuable tools for a wide range of applications, ranging from film and entertainment production to defense and security, agriculture, logistics, construction and environmental monitoring. While these technologies are already widely used in many countries worldwide, engineers have been trying to enhance their capabilities further so that they can be used to tackle even more complex problems.
Researchers at Pohang University of Science and Technology and the Agency for Defense Development (ADD)’s AI Autonomy Technology Center in South Korea recently developed a drone with foldable wings that could be more maneuverable than conventional drones. Their drone draws inspiration from the winged flying squirrel, a type of squirrel that uses loose flaps of skin attached from their wrists to their ankles to glide from tree to tree.
“The flying squirrel drone is inspired by the movements of flying squirrels, particularly their ability to rapidly decelerate by spreading their wings just before landing on trees,” Dohyeon Lee, Jun-Gill Kang and Soohee Han, co-authors of the paper, told Tech Xplore. “We initiated this research with the belief that, like flying squirrels, drones could expand their dynamic capabilities by utilizing aerodynamic drag.”
Offensive Security warned Kali Linux users to manually install a new Kali repository signing key to avoid experiencing update failures.
The announcement comes after OffSec lost the old repo signing key (ED444FF07D8D0BF6) and was forced to create a new one (ED65462EC8D5E4C5) signed by Kali Linux developers using signatures available on the Ubuntu OpenPGP key server. However, since the key was not compromised, the old one was not removed from the keyring.
When trying to get the list of latest software packages on systems still using the old key, users will see “Missing key 827C8569F2518CC677FECA1AED65462EC8D5E4C5, which is needed to verify signature” errors.
