This website uses a security service to protect against malicious bots. This page is displayed while the website verifies you are not a bot.
Category: robotics/AI
Meet EcoBOT: The Autonomous Lab Standardizing Plant-Microbe Research
To harness biological systems (plants and microbes) for next-generation energy production and advanced materials, researchers are looking to beneficial plant-microbe interactions. Because these are complex systems, it has proven difficult to reproducibly control exactly which microbes are present. And, subtle differences in materials, methods, or even the hands of the researchers themselves can lead to inconsistent results. This makes it difficult to replicate previous work, significantly slowing the leap from scientific discovery to practical application.
Researchers at Lawrence Berkeley National Laboratory (Berkeley Lab) are overcoming this bottleneck by addressing a multi-layered challenge: building reliable physical hardware, engineering accurate visual sensors, and developing predictive algorithms. Their solution, EcoBOT, stands out from typical plant phenotyping facilities by integrating these distinct components into a reliably automated workflow under strictly sterile conditions.
EcoBOT takes specialized growth chambers, called EcoFABs, and integrates them with machine-learning tools that autonomously guide the discovery cycle. This system uses advanced imaging to regularly scan the entire plant—from the tips of its leaves to the bottom of its roots. By using Gaussian Process models and AI analysis tools, it can quickly analyze and model this visual data to calculate the most informative next steps. This directs the automated hardware to determine exactly how plants adapt to environmental stressors, establishing the crucial microbe-free baseline needed to eventually study plant-microbe interactions and engineer better bioenergy crops.
WILL AI Turn Humanity Into BORG?
The Borg were never terrifying because they had advanced technology. They were terrifying because they erased individuality itself.
As brain-computer interfaces move from science fiction into reality, humanity may be approaching a question once reserved for Star Trek: What happens when technology no longer just helps us… but changes what it means to be human?
In this video, we explore the unsettling possibility that artificial intelligence, neural implants, and human enhancement technologies could eventually create something disturbingly similar to the Borg Collective.
🔹 Brain-computer interfaces and neural implants.
🔹 Human enhancement and transhumanism.
🔹 AI integration with the human mind.
🔹 Social and economic pressure to augment.
🔹 The loss of individuality and autonomy.
🔹 Whether technological evolution can be resisted.
If humanity could become smarter, faster, stronger, and more connected than ever before… would we resist? Or would we choose to become something else?
Resistance… may not be futile, but history suggests that enhancement rarely remains optional for long.
Orbital Data Centers Are Seductive on Paper, but They Face Daunting Challenges in Reality
But there is a vast difference between launching satellites and operating an industrial-scale computing infrastructure in orbit. Space is unforgiving. Radiation damages electronics. The electronics generate enormous amounts of heat, and getting rid of that heat is surprisingly difficult in space. Repairs are extraordinarily expensive, and every pound launched into orbit still carries a significant cost.
We are engineering professors who study data-center design and space systems engineering. Building a space-based data center will involve considerations from both sides.
First off, consider what goes into an Earth-based data center, like those that you’ve probably begun to see pop up everywhere. These facilities power cloud computing, video streaming, online banking, scientific computing, and increasingly, artificial intelligence. But a data center is much more than a room full of servers.
AI analyses of eye scans can detect diseases like diabetes, osteoporosis and thyroid disease in seconds
A new study presents an artificial intelligence system that scans images of the retina to detect signs of diabetes, high blood pressure, high cholesterol, gout, osteoporosis and thyroid disease in seconds. The program—called Reti-Pioneer—is a step toward being able to diagnose many different conditions from a scan of the eye, providing people a quicker diagnosis for common conditions and increasing access to crucial testing.
Associate Professor Lisa Zhuoting Zhu, head of ophthalmic epidemiology at CERA, is one of the leading authors on the paper published in Nature Medicine. She says this technology is making disease diagnosis more efficient, particularly in remote or regional communities.
“This technology will be a real benefit to public health,” says Zhu. “Patients would be able to get information about their health instantly and start interventions as soon as possible instead of waiting for more time-consuming test results.”
Private industry and government to completely abandon traditional cybersecurity postures
The threat landscape is no longer just malicious actors on keyboards. Attackers are accelerating their capabilities with agentic AI, automating attacks at scale, and creating zero-day exploits at unprecedented speeds.
