Internet services giant Cloudflare says it mitigated a record number of DDoS attacks in 2024, recording a massive 358% year-over-year jump and a 198% quarter-over-quarter increase.
These figures come from Cloudflare’s 2025 Q1 DDoS Report, where the company says it mitigated a total of 21.3 million DDoS attacks in 2024.
However, 2025 is looking to be an even bigger problem for online entities and companies, with Cloudflare already responding to 20.5 million DDoS attacks in just the first quarter of 2025.
A landmark international collaboration led by Newcastle University has developed the world’s most efficient integrated light-harvesting and storage system for powering autonomous Artificial Intelligence (AI) at the edge of the Internet of Things (IoT).
A new AI robot called π-0.5 uses 100 decentralized brains, known as π-nodes, to control its body with lightning-fast reflexes and smart, local decision-making. Instead of relying on a central processor or internet connection, each part of the robot—like fingers, joints, and muscles—can sense, think, and act independently in real time. Powered by a powerful vision-language-action model and trained on massive, diverse data, this smart muscle system allows the robot to understand and complete real-world tasks in homes, even ones it has never seen before.
Join our free AI content course here 👉 https://www.skool.com/ai-content-acce… the best AI news without the noise 👉 https://airevolutionx.beehiiv.com/ 🔍 What’s Inside: • A groundbreaking AI robot called π‑0.5 powered by 100 decentralized “π-nodes” embedded across its body • Each node acts as a mini-brain, sensing, deciding, and adjusting without needing Wi-Fi or a central processor • A powerful vision-language-action model lets the robot understand messy homes and complete complex tasks without pre-mapping 🎥 What You’ll See: • How π‑0.5 combines local reflexes with high-level planning to react in real time • The unique training process using over 400 hours of diverse, real-world data from homes, mobile robots, and human coaching • Real-world tests where the robot cleans, organizes, and adapts to brand-new spaces with near-human fluency 📊 Why It Matters: This new system redefines robot intelligence by merging biological-inspired reflexes with advanced AI planning. It’s a major step toward robots that can handle unpredictable environments, learn on the fly, and function naturally in everyday life—without relying on cloud servers or rigid programming. DISCLAIMER: This video explores cutting-edge robotics, decentralized AI design, and real-world generalization, revealing how distributed intelligence could transform how machines move, sense, and think. #robot #robotics #ai.
🔍 What’s Inside: • A groundbreaking AI robot called π‑0.5 powered by 100 decentralized “π-nodes” embedded across its body. • Each node acts as a mini-brain, sensing, deciding, and adjusting without needing Wi-Fi or a central processor. • A powerful vision-language-action model lets the robot understand messy homes and complete complex tasks without pre-mapping.
🎥 What You’ll See: • How π‑0.5 combines local reflexes with high-level planning to react in real time. • The unique training process using over 400 hours of diverse, real-world data from homes, mobile robots, and human coaching. • Real-world tests where the robot cleans, organizes, and adapts to brand-new spaces with near-human fluency.
Quantum messages sent across a 254-km telecom network in Germany represent the first known report of coherent quantum communications using existing commercial telecommunication infrastructure.
The demonstration, reported in Nature this week, suggests that quantum communications can be achieved in real-world conditions.
Quantum networks have the potential to enable secure communications, such as a quantum internet; quantum key distribution is one example of a theoretically secure communication technique.
Thermoelectric materials enable the direct conversion of heat into electrical energy. This makes them particularly attractive for the emerging Internet of Things. For example, for the autonomous energy supply of microsensors and other tiny electronic components.
In order to make the materials more efficient, at the same time, heat transport via the lattice vibrations must be suppressed and the mobility of the electrons increased—a hurdle that has often hindered research until now.
An international team led by Fabian Garmroudi has now succeeded in using a new method to develop hybrid materials that achieve both goals—reduced coherence of the lattice vibrations and increased mobility of the charge carriers. The key: a mixture of two materials with fundamentally different mechanical but similar electronic properties.
Scientists have found a clever way to double the efficiency of thermoelectric materials — those that convert heat into electricity — by mixing two substances with contrasting mechanical properties but similar electronic traits.
The result is a hybrid that blocks heat at microscopic interfaces while allowing electricity to flow freely, bringing us closer to cheaper, more stable alternatives to today’s gold-standard materials used in the Internet of Things and beyond.
Boosting thermoelectrics for the internet of things.
All manner of companies and tech leaders have been predicting when AGI will be achieved, but we might have one of the surest signs that it’s already here — or is just around the corner.
Google Deepmind is hiring a Post-AGI researcher for its London office. As per a job listing on internet boards, Google Deepmind is looking for a “Research Scientist, Post-AGI Research”. “We are seeking a Research Scientist to explore the profound impact of what comes after AGI,” the job listing says.
“At Google DeepMind, we’ve built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated Research Scientist to join our team and contribute to groundbreaking research that will focus on what comes after Artificial General Intelligence (AGI). Key questions include the trajectory of AGI to artificial superintelligence (ASI), machine consciousness, the impact of AGI on the foundations of human society,” says the job listing.
To ensure that information maintains a high quality and isn’t overwhelmed by noise, optical amplifiers are essential. The data transmission capacity of an optical communication system is largely determined by the amplifier’s bandwidth, which refers to the range of light wavelengths it can handle.
“The amplifiers currently used in optical communication systems have a bandwidth of approximately 30 nanometers. Our amplifier, however, boasts a bandwidth of 300 nanometers, enabling it to transmit ten times more data per second than those of existing systems,” explains Peter Andrekson, Professor of Photonics at Chalmers and lead author of the study published in Nature.
The rapidly increasing data traffic is placing ever greater demands on the capacity of communication systems. In an article published in the prestigious journal Nature, a research team from Chalmers University of Technology, in Sweden, introduces a new amplifier that enables the transmission of ten times more data per second than those of current fiber-optic systems. This amplifier, which fits on a small chip, holds significant potential for various critical laser systems, including those used in medical diagnostics and treatment.
The advancement of AI technology, the growing popularity of streaming services, and the proliferation of new smart devices are among the factors driving the expected doubling of data traffic by 2030. This surge is heightening the demand for communication systems capable of managing vast amounts of information.
Currently, optical communication systems are employed for the internet, telecommunications, and other data-intensive services. These systems utilise light to transmit information over long distances. The data is conveyed through laser pulses that travel at high speeds through optical fibers, which are composed of thin strands of glass.
On TikTok there are exceptional “testimonials” like Nikola Tesla or Marie Curie delivering short science-related messages that have garnered millions of views. This is just one of many examples where AI-generated avatars are used to communicate science—a strategy that might also have its drawbacks.
The generation of images and animations through artificial intelligence is a rapidly growing field, constantly improving in quality. Yet many avatars, though realistic, still present minor flaws—glitches, delays, inconsistent facial expressions or lip-syncing—sometimes barely noticeable, but still easily picked up by a human observer.
Jasmin Baake, researcher at the Center for Advanced Internet Studies (CAIS), Bochum, Germany, and the other authors of a study in the Journal of Science Communication realized that these avatars could trigger a phenomenon known in cognitive science as the “uncanny valley.”
