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Peat bogs, the natural archives of mining fallout, reveal ancient Europe’s hidden metal networks

For thousands of years, humans shaped their world with stone, wood and bone. Metallurgy, the art and science of working with metals such as copper, bronze and iron, marked a turning point in human history. The mining that fueled metalworking also shaped Europe’s and the Mediterranean’s economies and politics over centuries.

A recent study found clues that helped reconstruct the region’s 6,000-year history of lead and silver mining, metal production and trade, a task hindered by scattered archaeological evidence. This was possible because peat bogs act like nature’s archive. As these wetlands slowly build up, they capture airborne dust layer by layer, preserving a record of fallout from silver mining over centuries.

In this study, researchers drilled a peat core at Pilat Massif, an upland area of south-central France. By studying lead (Pb) isotope signatures preserved in peatlands alongside data from the reference Pb Isotope database, researchers developed the Environmental Match Intensity Index (EMII), which revealed that the earliest major lead-silver mining signal emerged during the Late Neolithic and Chalcolithic periods (3700–2200 B.C.), centered around Laurion and the Cycladic islands in Greece.

This bold theory says the Big Bang wasn’t our beginning

In ekpyrotic theory, however, there is no beginning of time, and the Big Bang is replaced with a bounce between two ‘branes’ – three-dimensional worlds in a five-dimensional space-time.

The structure of the current Universe is determined before this bounce, so the need for inflation is avoided.

The theory also avoids the inconvenient singularity in standard cosmology, when the Universe was somehow all crushed down to a single point before exploding in the Big Bang.

Menopause triggers sudden bodily changes, with hormonal shifts beginning over a decade earlier, study finds

A study reveals menopause triggers sudden physiological changes across multiple body systems, with hormonal shifts starting over a decade earlier. Researchers analyzed 300 million lab tests, finding abrupt changes in bone health, liver, kidney function, and blood chemistry.

Histotripsy: the first noninvasive, non-ionizing, non-thermal ablation technique based on ultrasound

Histotripsy is a noninvasive focused ultrasound technology similar to HIFU [-]. However, the underlying mechanism of histotripsy is fundamentally different, relying instead on a mechanical effect at the cellular level to destroy tissue. The term ‘histotripsy’ was coined at the University of Michigan in 2004 []. In Greek, ‘Histo’ means ‘soft tissue’, and ‘tripsy’ refers to breakdown. In contrast to thermal HIFU which uses continuous or long bursts of ultrasound at moderately high intensity and high duty cycle (ultrasound on-time/total treatment time ≥10%) to heat tissue [], histotripsy uses short ultrasound bursts (microseconds in length) with a low duty cycle (≤1%) to minimize heating [], and higher peak pressure amplitudes to generate acoustic cavitation from endogenous gas in tissues. Acoustic cavitation is the generation, oscillation, and collapse of microbubbles activated by ultrasound []. Very high ultrasound pressure causes inertial expansion and collapse of cavitation bubbles that impart localized intense strain that can fracture cells [] into an acellular debris []. Ultrasound imaging can be used to guide and monitor the histotripsy procedure in real-time. In contrast to many existing minimally-invasive techniques, histotripsy can noninvasively remove tissue. When histotripsy is applied to a tissue-fluid interface (e.g., blood clots or cardiac tissue), the tissue is eroded from the surface inwards creating perforations with sharp boundaries [,]. When targeting histotripsy inside a bulk tissue (e.g., a tumor), histotripsy liquifies the target tissue to an acellular homogenate, and the debris is absorbed over 1–2 months by the body, leaving small scars [,].

Prior to the invention of histotripsy, cavitation created during thermal HIFU was known to cause structural mechanical damage to tissue [,]. Soft tissue cavitation damage was also observed during lithotripsy, particularly when using high pulse repetition frequencies [,]. The effect was further explored as an intentional surgical technique termed ‘shock wave therapy’ targeting soft tissue and tumor cells [-]. Follow-up work developed a more controllable and likely more durable piezoelectric sound source [,]. Prior studies [,,-] show that shockwave therapy was able to intentionally produce mechanical tissue disruption in the kidney, liver, and thrombus in animal models, consistent with what later became known as histotripsy. The negative phase of the acoustic wave following the positive shock for these systems is much longer (several microseconds) than current histotripsy systems, creating a larger focal zone with more sparse cavitation sites, though complete liquefaction was possible with a sufficiently large number of pulses.

The ability to effectively remove tissue allows histotripsy to be used in applications that are not possible with thermal techniques. The non-thermal nature also enables histotripsy to overcome many of the limitations associated with thermal devices (e.g., heat sink effect, lack of precise margins, and predictability). Histotripsy has been investigated for many pre-clinical applications, including treatment for tumors in the liver [-], kidney [,,,], and prostate [,], neurological diseases [,], thrombosis [-], hematoma [-], neonatal and fetal congenital heart disease [,], valvular diseases [,], kidney stones [], abscesses [], tendons [], and biofilms [-]. Phase I human trials have been undertaken for histotripsy treatment of benign prostatic hyperplasia [], liver cancer, and calcified valve stenosis [], with early results suggesting safety and feasibility in humans. This review provides a comprehensive overview of histotripsy, including the mechanism, bioeffects, parameters, instruments, preclinical and clinical studies, and advantages and limitations compared to related devices.

Beehives act as ‘living immune systems’ with layered antimicrobial defenses

Researchers have discovered honey beehives act as “living immune systems” that help protect the bee colony, its offspring and food supplies from disease. The finding underlines the need to protect bee habitat to ensure their health.

In an example of insect engineering, each part of the hive—from the beeswax, honey and pollen to the propolis, a sticky material bees collect from plants—is “built in” strategically across different compartments of the hive.

The location of these hive materials, combined with their unique antimicrobial and chemical properties, works to repel disease and to encourage helpful fungi and bacteria.

How AI And Quantum Are Helping Clarify Humanity’s Biggest Enigmas

We will need better scientific criteria to evaluate claims about machine reasoning, understanding, and consciousness as AI capabilities grow. The machine may help humanity discover more. Whether it can subjectively ask why that knowledge matters remains unknown.

AI, quantum computing, advanced sensing, biotechnology, and other emerging technologies are opening up new ways to study millennia-old questions. Whether a discovery benefits society depends on more than technical ability. Technologies that improve scientific analysis can also spread misinformation, manipulate public opinion, or accelerate dangerous applications. Powerful computational systems can improve medical research and materials science but raise cybersecurity, privacy, and governance issues.

When discoveries challenge deeply held beliefs about life, death, religion, human identity, and the universe, these risks are especially high. Imagine an AI system finding a biosignature on a distant planet, explaining a quantum phenomenon, or creating a mathematical model that illuminates the early universe. Each result may attract attention before researchers fully examine the evidence.

🧠 Cognitive Co-Regulation

HELIOX: WHERE EVIDENCE MEETS EMPATHY 🇨🇦 # *How AI is slipping into the layer beneath your thoughts, and the design choices that keep your mind your own*

https://youtu.be/xOGvNNu7T04](https://youtu.be/xOGvNNu7T04)

Oct 20, 2026 • S8 E5 • 41:09

Your phone’s AI is no longer just a tool. It’s quietly becoming part of how you think. 🧠

What happens when AI moves from tool to collaborator to a layer of the self? In this evidence-based deep dive, we explore cognitive co-regulation, System Zero and the extended mind, starting with a paralyzed worm that still dreams of turning around.

You’ll hear about:

• How autocomplete and recommendation algorithms shape intent before you notice.

Deepseek-ai/DeepInfer: DeepInfer: High-performance, large-scale inference framework for DeepSeek models

🚀 DeepSeek just open-sourced — the inference engine behind DeepSeek-V4.1-Flash. And it’s a bigger deal than it looks.

What it is: A high-performance framework (Apache 2.0) with optimized kernels, MoE parallelism, speculative decoding (DSpark), async scheduling, and batch-invariant/deterministic inference. Runs on NVIDIA SM100 GPUs *and* Huawei Ascend 950 NPUs.

Why it matters: It’s the “how” behind DeepSeek’s brutal pricing — ~$0.60 per million output tokens vs. ~$20–25 for GPT-5.6 Sol and Claude Opus 5. Features like multi-day KV caching (~96% hit rate) and hardware flexibility attack the exact cost structure Western labs depend on.

The reality check: It’s *not* a turnkey service — no KV cache system, no disaggregation, no cross-replica load balancing included. And on hard benchmarks (e.g., SciCode: 51.9 vs. Claude’s 66.9), frontier models still lead. Enterprises won’t switch overnight.

The verdict: won’t bankrupt OpenAI or Anthropic tomorrow — but it kills the narrative that high AI costs are inevitable. It proves frontier-adjacent inference can be an order of magnitude cheaper with clever engineering, and it hands the community the blueprint. The game just shifted from model benchmarks to *efficiency*.

👇 Repo: https://github.com/deepseek-ai/DeepInfer.

#ArtificialIntelligence #opensource #inference #DeepSeek #LLM

Structure and evolution-guided design of minimal RNA-guided nucleases

The design of RNA-guided nucleases with properties not limited by evolution can expand programmable genome-editing capabilities. However, generating diverse multidomain proteins with robust enzymatic properties remains challenging. Here, we use a protein design strategy that couples a structure-guided inverse-folding model with evolution-informed residue constraints to generate active, divergent variants of TnpB, a minimal CRISPR-Cas12–like nuclease, termed SynTnpBs. High-throughput screening of artificial intelligence–generated variants yielded editors that retained or exceeded wild-type activity in bacterial, plant, and human cells. Cryo–electron microscopy–based structure determination of the most divergent variant revealed stabilizing contacts in the RNA–DNA interfaces across conformations, demonstrating the design potential of this approach.