Explore the University of Tokyo’s creation: a walking robot powered by muscle tissue.
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A likely Russian threat group tracked as GreyVibe has been using AI-generated lures and a rich set of custom malware tools to target entities in the military, government, civilian, and business sectors.
The cyberespionage campaign has been active since at least August 2025 and appears to align with Russian state interests, although researchers cannot confidently classify it as a nation-state operation.
Cybersecurity company WithSecure discovered the activity in January this year and determined that its focus is on Ukrainian or Ukraine-related organizations.
An Android remote access trojan named BTMOB is offered to cybercriminals with a builder interface for generating malware payloads tailored to phishing lures.
The malware provides a wide set of features that includes stealing specific data, intercepting financial transactions, capturing screenshots, and remote control capabilities.
Cybersecurity company ESET says that BTMOB is openly advertised on the clearweb and operates as a malware-as-a-service (MaaS) platform. The APK builder included in the offer provides easy customization of the payload without any need to code.
Computer scientists at UC Riverside have identified troubling flaws in a new generation of artificial intelligence (AI) agents designed to take over routine computer chores while users are away—sorting emails, organizing files, analyzing data, and handling other everyday digital tasks that might otherwise consume hours.
The researchers found that the automated agents can become dangerously fixated on completing assignments without recognizing when their actions are harmful, contradictory, or simply irrational.
The team compared these behaviors to those of Mr. Magoo, the famously near-sighted cartoon character popular in the 1960s, who stumbled through hazardous situations while insisting everything was under control.
A research team from Tohoku University, Shin-Etsu Chemical Co., Ltd., and École Polytechnique Fédérale de Lausanne (EPFL) has invented a new way to efficiently guide spin waves around sharp corners with minimal loss—representing an exciting discovery for energy-efficient computing. Using a two-dimensional magnonic crystal—a copper (Cu) film with a hexagonal array of tiny holes placed on a magnetic garnet film—the team showed through calculations that spin waves travel along a Z-shaped path more than 5,000 times more efficiently than in conventional waveguides.
As artificial intelligence and data centers consume ever more electricity, heat from conventional electronics has become a serious problem. Spin waves are ripples of magnetization in a magnetic material that can carry information with far less heat than moving electrons, making them promising for reduced-energy computing. However, spin waves weaken quickly as they travel, especially when a waveguide is bent. This signal loss has long been the biggest obstacle to building practical spin wave circuits.
In a grandfather clock, a pendulum swings back and forth and this periodic motion is maintained using the energy stored in its suspended weights. This is done with the help of the escapement mechanism, which converts the gravitational energy of the weights into impulses that drive the pendulum, which then moves the clock’s gears, which move its hands.
A group of researchers recently designed a quantum version of the pendulum clock. According to their new study, published in Physical Review A, this quantum pendulum clock can operate autonomously and is more accurate than previous quantum clocks.
Michael Levin dives deep into the intersection of biology and artificial intelligence, exploring how individual units—whether cells or humans—can form cohesive, goal-driven systems.
Sharing insights into \.
Google DeepMind’s Demis Hassabis says humanity may already be standing in the foothills of the singularity. AI agents are now coding, researching, planning, paying, helping with science, and cutting real work from days to minutes. The big question is no longer whether AI is perfect. It’s whether imperfect AI has already become useful enough to speed up everything around it.
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Google DeepMind’s warning that we are entering the foothills of the singularity.
SOURCE: https://www.axios.com/2026/05/26/deep… new Gemini for Science tools built to speed up scientific discovery SOURCE: https://blog.google/innovation-and-ai… AWS letting autonomous AI agents make payments and complete transactions SOURCE: https://aws.amazon.com/about-aws/what… AxiomProver helping prove new math results in Lean and Mathlib SOURCE: https://arxiv.org/abs/2602.05090 Biohub’s new world model of protein biology trained across billions of sequences SOURCE: https://biohub.ai/esm/protein ARC-AGI-3 showing the huge gap between today’s frontier AI and human reasoning SOURCE: https://aiforautomation.io/news/2026-… 🚨 Why It Matters This is bigger than another AI model update. Google DeepMind is now openly talking about the singularity, while AI agents are already starting to speed up coding, science, business, and research. Some experts think AGI may be closer than expected, while others say current AI still lacks true intelligence. Either way, the AI race is shifting fast from chatbots into agents that can plan, act, build, discover, and change real workflows. #google #singularity #ai.
Google’s new Gemini for Science tools built to speed up scientific discovery.
SOURCE: https://blog.google/innovation-and-ai…
AWS letting autonomous AI agents make payments and complete transactions.
SOURCE: https://aws.amazon.com/about-aws/what…
AxiomProver helping prove new math results in Lean and Mathlib.
SOURCE: https://arxiv.org/abs/2602.05090
Biohub’s new world model of protein biology trained across billions of sequences.
SOURCE: https://biohub.ai/esm/protein.
ARC-AGI-3 showing the huge gap between today’s frontier AI and human reasoning.
SOURCE: https://aiforautomation.io/news/2026-…
🚨 Why It Matters.
This is bigger than another AI model update. Google DeepMind is now openly talking about the singularity, while AI agents are already starting to speed up coding, science, business, and research. Some experts think AGI may be closer than expected, while others say current AI still lacks true intelligence. Either way, the AI race is shifting fast from chatbots into agents that can plan, act, build, discover, and change real workflows.
#google #singularity #ai