Machine Learning Health Operations (MLHOps) is the combination of processes for reliable, efficient, usable, and ethical deployment and maintenance of machine learning models in healthcare settings. This paper provides both a survey of work in this area and guidelines for developers and clinicians to deploy and maintain their own models in clinical practice. We cover the foundational concepts of general machine learning operations, describe the initial setup of MLHOps pipelines (including data sources, preparation, engineering, and tools). We then describe long-term monitoring and updating (including data distribution shifts and model updating) and ethical considerations (including bias, fairness, interpretability, and privacy). This work therefore provides guidance across the full pipeline of MLHOps from conception to initial and ongoing deployment.

Deep Neural Networks (DNNs) are vulnerable to adversarial examples, while adversarial attack models, e.g., DeepFool, are on the rise and outrunning adversarial example detection techniques. This paper presents a new adversarial example detector that outperforms state-of-the-art detectors in identifying the latest adversarial attacks on image datasets. Specifically, we propose to use sentiment analysis for adversarial example detection, qualified by the progressively manifesting impact of an adversarial perturbation on the hidden-layer feature maps of a DNN under attack. Accordingly, we design a modularized embedding layer with the minimum learnable parameters to embed the hidden-layer feature maps into word vectors and assemble sentences ready for sentiment analysis. Extensive experiments demonstrate that the new detector consistently surpasses the state-of-the-art detection algorithms in detecting the latest attacks launched against ResNet and Inception neutral networks on the CIFAR-10, CIFAR-100 and SVHN datasets. The detector only has about 2 million parameters, and takes shorter than 4.6 milliseconds to detect an adversarial example generated by the latest attack models using a Tesla K80 GPU card.

We propose an effective method for removing thermal vibrations that complicate the task of analyzing complex dynamics in atomistic simulation of condensed matter. Our method iteratively subtracts thermal noises or perturbations in atomic positions using a denoising score function trained on synthetically noised but otherwise perfect crystal lattices. The resulting denoised structures clearly reveal underlying crystal order while retaining disorder associated with crystal defects. Purely geometric, agnostic to interatomic potentials, and trained without inputs from explicit simulations, our denoiser can be applied to simulation data generated from vastly different interatomic interactions. The denoiser is shown to improve existing classification methods such as common neighbor analysis and polyhedral template matching, reaching perfect classification accuracy on a recent benchmark dataset of thermally perturbed structures up to the melting point. Demonstrated here in a wide variety of atomistic simulation contexts, the denoiser is general, robust, and readily extendable to delineate order from disorder in structurally and chemically complex materials.

Over the past half century, there have been several false dawns during which the "arrival" of world-changing artificial intelligence (AI) has been heralded. Tempting fate, the authors believe the age of AI has, indeed, finally arrived. Powerful image generators, such as DALL-E2 and Midjourney have suddenly allowed anyone with access the ability easily to create rich and complex art. In a similar vein, text generators, such as GPT3.5 (including ChatGPT) and BLOOM, allow users to compose detailed written descriptions of many topics of interest. And, it is even possible now for a person without extensive expertise in writing software to use AI to generate code capable of myriad applications. While AI will continue to evolve and improve, probably at a rapid rate, the current state of AI is already ushering in profound changes to many different sectors of society. Every new technology challenges the ability of humanity to govern it wisely. However, governance is usually viewed as both possible and necessary due to the disruption new technology often poses to social structures, industries, the environment, and other important human concerns. In this article, we offer an analysis of a range of interactions between AI and governance, with the hope that wise decisions may be made that maximize benefits and minimize costs. The article addresses two main aspects of this relationship: the governance of AI by humanity, and the governance of humanity by AI. The approach we have taken is itself informed by AI, as this article was written collaboratively by the authors and ChatGPT.

Contrast maximization (CMax) techniques are widely used in event-based vision systems to estimate the motion parameters of the camera and generate high-contrast images. However, these techniques are noise-intolerance and suffer from the multiple extrema problem which arises when the scene contains more noisy events than structure, causing the contrast to be higher at multiple locations. This makes the task of estimating the camera motion extremely challenging, which is a problem for neuromorphic earth observation, because, without a proper estimation of the motion parameters, it is not possible to generate a map with high contrast, causing important details to be lost. Similar methods that use CMax addressed this problem by changing or augmenting the objective function to enable it to converge to the correct motion parameters. Our proposed solution overcomes the multiple extrema and noise-intolerance problems by correcting the warped event before calculating the contrast and offers the following advantages: it does not depend on the event data, it does not require a prior about the camera motion, and keeps the rest of the CMax pipeline unchanged. This is to ensure that the contrast is only high around the correct motion parameters. Our approach enables the creation of better motion-compensated maps through an analytical compensation technique using a novel dataset from the International Space Station (ISS). Code is available at \url{https://github.com/neuromorphicsystems/event_warping}

Eugenia Kuyda defended AI companion bots during the interview with Fox News Digital and argued that dating app Replika is just one of many possible solutions to loneliness. Credit it to the rise of technology, political polarization or even the pandemic, but loneliness is on the rise. It's an epidemic with consequences so severe that Surgeon General Dr. Vivek Murthy warns they could be deadly. "We now know that loneliness is a common feeling that many people experience. It's a feeling the body sends us when something we need for survival is missing," Murthy said, per The Associated Press.

At least one politician wants more transparency in the wake of an AI-generated attack ad. New York Democrat House Representative Yvette Clarke has introduced a bill, the REAL Political Ads Act, that would require political ads to disclose the use of generative AI through conspicuous audio or text. The amendment to the Federal Election Campaign Act would also have the Federal Election Commission (FEC) create regulations to enforce this, although the measure would take effect January 1st, 2024 regardless of whether or not rules are in place. The proposed law would help fight misinformation. Clarke characterizes this as an urgent matter ahead of the 2024 election -- generative AI can "manipulate and deceive people on a large scale," the representative says.

A TOAST: A crowd of reporters and media moguls gathered at the annual White House Correspondents Dinner cheered President Biden when he said he was running for another 4-year term… Read more: Reporters cheer after President Biden notes he's running for re-election at White House Correspondents' Dinner SPIRITED GROUP: A Washington Post reporter was lauded for profiling Biden, his religion and his family. Biden is a baptized Roman Catholic, though his position on abortion and other topics are contrary to the teaching of Pope Francis and the Catholic Church… Read more: Washington Post reporter receives award for'capturing the spirit of Joe Biden' and his'Catholic faith' WINKIN' BLINKEN: Secretary of State Antony Blinken disputes that he organized efforts to dismiss Hunter Biden's laptop as "disinformation"… Read more: Secretary of State Blinken denies role in Hunter Biden Russian disinfo letter: 'Wasn't my idea' SOMEONE ELSE'S CHILD: Hunter Biden was in court this week for a child ...

Tom Newhouse, vice president of Convergence Media, discusses the potential impact of artificial intelligence on elections after an RNC AI ad garnered attention. The People's Liberation Army (PLA) of China has tested an artificial intelligence (AI)-powered laser-guided artillery shell that has far exceeded the capabilities of any similar operational round. "Artificial intelligence is evolving quickly," Professor Wang Jiang, the project's lead from the Beijing Institute of Technology, wrote. "More researchers are applying the technology to trajectory planning problems." Initial tests have shown a new mortar deployed using this technology has achieved precision within centimeters of its target – a feat that developers have hailed while acknowledging the shorter distance and lower speeds that mortars require.

Sean Hannity discusses how Hunter Biden is pushing back against paying child support for his 4-year-old daughter in an Arkansas court case on'Hannity.' SEAN HANNITY – Is Hunter Biden too broke to pay child support?.… Continue watching… SAVE THE CHILDREN – I'm a doctor who survived stage IV cancer. 'MONSTROUS' – Hunter Biden's twisted attempts to keep his little girl from using his name are now in a new realm… Continue reading… IT STINKS! – Biden's quiet attack on rural America smells just as bad as manure… Continue reading… AI CRAZINESS – Why artificial intelligence can't bring the dead back to life… Continue reading… RUN, BUT CAN'T HIDE – These are Fauci's 3 biggest mistakes that no amount of media whitewashing can undo… Continue reading… REP. JODEY ARRINGTON – This crisis is flashing danger and America must change course or our children will pay is the greatest success story from the pandemic… Continue reading… MAJOR VICTORY – Here's why Texas court's ruling on FDA approval of abortion drugs is a huge win for women, girls… Continue reading… WATCH: MARK PENN – DeSantis has to'do a reset' to close the gap between President Trump… See the video… BATAAN SURVIVORS – These WWII heroes endured disease, starvation and beheadings. Here's why we should remember them… Continue reading…