This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . Amazon's Alexa can now verify suspicious messages Should you use a separate computer for online banking?

When you purchase through links in our articles, we may earn a small commission. Its automated mop-swapping system keeps different cleaning jobs separate, but the added complexity and $1,500 price are hard to ignore. The Dreame Matrix10 Pro is an excellent robot vacuum and mop with a genuinely useful approach to keeping cleaning tasks separate. But its multi-mop system adds more to hygiene and convenience than to actual cleaning performance, making the $1,500 price easier to justify for people concerned about cross-contamination than for anyone simply seeking the best clean for the money. Most robot mops have a problem that owners may not think much about. The same damp pads that clean bathroom floors and pet messes often end up traveling through the kitchen and living room.

You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. Enes Kanter Freedom hits back at'terrified' WNBA as he learns draft fate after ex-NBA star was ejected from game over explosive courtside clash Brian Hickerson's dark family secrets outed by his own sister... who reveals moment his'demons' took over... and real reason Hayden Panettiere kept going back His penis grew by a THIRD in minutes after game-changing new enlargement method... now thrilled patient bares all and declares: 'My phone's already buzzing' The 10-cent supplement that turbocharges your Mounjaro AND reduces your cholesterol: Most patients won't have heard of it, but now experts reveal why anyone on jabs must take it - and how it can stop you putting weight back on Canada threatens to cut off US electricity as Trump's trade war with Mark Carney spirals into fresh crisis: 'You better have batteries' Distressing audio reveals moment doctor's husband who left daughter, 2, to ...

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Plastic-Free Drip Coffee Is a Holy Grail. Microplastics are in everything, especially your coffee. A new generation of plastic-free coffee brewers is trying to change this. The era of plastic-free drip coffee has finally arrived. It couldn't come soon enough. Drip coffee is my first true love when it comes to caffeine. But sadly, my first love is hopelessly addicted to plastic. From the very first Mr. Coffee machines in the 1970s, nearly every drip coffee maker on the market, including many of my favorite drip coffee makers, has included plastic at some point in the brewing process. But plastic, as we're now learning, can leach tiny particles called microplastics into coffee or water, which you then happily drink in your morning cup.

A.1 Experimental design Figure 1 summarizes the experimental design used for our experiments. The participants that went through our experiments are users from the online platform Amazon Mechanical Turk (AMT). Through this platform, users stay anonymous, hence, we do not collect any sensitive personal information about them. We prioritized users with a Master qualification (which is a qualification attributed by AMT to users who have proven to be of excellent quality) or normal users with high qualifications (number of HIT completed = 10000and HIT accepted > 98%). Before going through the experiment, participants are asked to read and agree to a consent form, which specifies: the objective and procedure of the experiment, as well as the time expected to completion ( 5 - 8 min) with the reward associated ($1.4), and finally, the risk, benefits, and confidentiality of taking part in this study.

Spiking reservoir computing provides an energy-efficient approach to temporal processing, but reliably tuning reservoirs to operate at the edge-of-chaos is challenging due to experimental uncertainty. This work bridges abstract notions of criticality and practical stability by introducing and exploiting the robustness interval, an operational measure of the hyperparameter range over which a reservoir maintains performance above task-dependent thresholds. Through systematic evaluations of Leaky Integrate-and-Fire (LIF) architectures on both static (MNIST) and temporal (synthetic Ball Trajectories) tasks, we identify consistent monotonic trends in the robustness interval across a broad spectrum of network configurations: the robustness-interval width decreases with presynaptic connection density $β$ (i.e., directly with sparsity) and directly with the firing threshold $θ$. We further identify specific $(β, θ)$ pairs that preserve the analytical mean-field critical point $w_{\text{crit}}$, revealing iso-performance manifolds in the hyperparameter space. Control experiments on Erdős-Rényi graphs show the phenomena persist beyond small-world topologies. Finally, our results show that $w_{\text{crit}}$ consistently falls within empirical high-performance regions, validating $w_{\text{crit}}$ as a robust starting coordinate for parameter search and fine-tuning. To ensure reproducibility, the full Python code is publicly available.

Reservoir computing is a well-established approach for processing data with a much lower complexity compared to traditional neural networks. Despite two decades of experimental progress, the core properties of reservoir computing (namely separation, robustness, and fading memory) still lack rigorous mathematical foundations. This paper addresses this gap by providing a control-theoretic framework for the analysis of time-delay-based reservoir computers. We introduce formal definitions of the separation property and fading memory in terms of functional norms, and establish their connection to well-known stability notions for time-delay systems as incremental input-to-state stability. For a class of linear reservoirs, we derive an explicit lower bound for the separation distance via Fourier analysis, offering a computable criterion for reservoir design. Numerical results on the NARMA10 benchmark and continuous-time system prediction validate the approach with a minimal digital implementation.

The civilization made the most of its technology, but everything has its limits. Mayan society often relied on cinnabar, a deep red pigment that got its hue from mercury sulfide. Breakthroughs, discoveries, and DIY tips sent six days a week. A trio of ancient reservoirs in present-day Guatemala is revealing both the strength--and limitations--of Mayan water science. While the civilization's purification techniques resulted in comparatively clean drinking sources, archaeologists say the unknowable consequences of a commonly used, deep-red pigment consistently subjected the Indigenous population to toxic mercury poisoning .