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Micro Medical Devices (MMD), a California-based company that specializes in developing and manufacturing innovative eye care technology, was recently awarded the 2023 Award for Excellence by the Australian Optical Distributers and Manufacturers Association (ODMA) in the Optical equipment category for their VF2000 NEO virtual reality visual field headset.

Micro Medical Devices' VF2000 NEO Recognized as Best in Optical Equipment Category

https://www.bing.com/th?id=ODF.Az8HQnJeK5Vk-93E0pV_IA&pid=news

New York Tech on MSN.com

Local news

Cleveland Clinic plans to begin using drones to deliver certain medications directly to patients’ homes, starting in 2025. Initially, the service will be used to send specialty medicines and other prescriptions to patients’ homes from more than a dozen Cleveland Clinic locations across Northeast Ohio.

https://www.bing.com/th?id=OVFT.drODcq3c7WvA049rTD49QS&pid=News

Medical Center To Use Drones To Deliver Medications

https://www.bing.com/th?id=ODF.WH2EPDAP3DjE-B69XWFaaw&pid=news

WFIN

Cleveland Clinic

Cleveland Clinic to Utilize Zipline‘s Drone Delivery Services for Medications and Meals Continue reading below, or listen: DroneLife · Cleveland – Clinic – To – Use – Zip

https://www.bing.com/th?id=OVFT.vya4382VPvVv3a9AoeNJuC&pid=News

Cleveland Clinic to Use Zipline for Drone Delivery of Medical Supplies

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Dronelife

The life of beloved Akron radio host Dan “Foz” Fazio was claimed in a car crash over the weekend, officials confirmed.

https://www.bing.com/th?id=OVFT.O8f-a3Y6H5pu6tC8U2Vu1S&pid=News

‘Overwhelming sadness’: Wrong-way driver kills Northeast Ohio radio host

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WOIO Cleveland on MSN.com

Kurgan hypothesis

Fullmetal Alchemist

Electromagnetic compatibility (EMC) filter provider Schurter has introduced its new FMAB NEO High-Performance single-phase block filter, designed to meet the demands of increasing electromagnetic interference generated in modern-day electronic applications.

Schurter extends FMAB NEO block filter series with new high-performance model

https://www.bing.com/th?id=ODF.9OyPC9IQkZp-LN1Yo-e7Xg&pid=news

electronics360.globalspec

Focus

Laboratory

Construction

The Board of Directors of waste-to-energy subsidiary Neo Tiew Power initiates process to place the company under Creditor's Voluntary Liquidation- Group views action as prudent for optimal allocation

Acrometa to Focus on Laboratory Construction and Co-Working Laboratory Space Business

https://www.bing.com/th?id=ODF.LnWAsYULk4XKw3udkffflQ&pid=news

Benzinga.com

Northeast Ohio Medical University

Ohio

Sidney Daily News

ROOTSTOWN – Northeast Ohio Medical University (NEOMED) will continue its latest season of VITALS with featured speaker Amy Acton, M.D., former director of the Ohio Department of Health, at noon Thursday,

NEOMED VITALS to feature former director of Ohio Department of Health

https://www.bing.com/th?id=ODF.HfNzSQloNSKpqChprtvIlg&pid=news

Abortion

Amendment

Ohio is my home. I grew up in Cincinnati, I’ve gone to school in and worked across the state, and now, I am a third-year medical student studying to become an OB/GYN at the Ohio State University ...

I love Ohio. Here's why extreme abortion ban could chase me and other medical students away

Detroit Free Press

USA Today

Columbus

Wipe

Medical debt

Columbus City Hall approved on Monday evening a sweeping landmark deal to wipe out $335 million of medical debt, providing financial relief to more than 340,000 moderate-income residents in Columbus.

Everything to know about Columbus' agreement to wipe out $335 million in medical debt

Columbus Dispatch

Get the most recent info and news about Neo Medical on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

Neo Medical

Born under a bad sign — AI learning, trolling, economy & political influence — leads to unwanted developments and consequences. Shape of things to come — health privacy, insect bots & chip making — is a mixed bag of developments. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Born under a bad sign - DARPA Seeking AI That Learns All the Time — “[DARPA] is looking to change the way works…[with] …that learn continuously, adapt to new tasks, and know what to learn and when. ‘ AI Lifelong Learning Machines …. We want the rigor of automation with the flexibility of the human’ ….[ Neural networks are adaptable systems whose ability to learn comes from…[training] on a set of data….[Problem] when the AI encounters something it was never trained to recognize So] two sets of groups. One set will…develop systems that can continuously learn, adapt to new tasks and circumstances, and understand inputs according to what the system’s mission is (called ‘goal-driven perception)…. .” [Another] to identify new mechanisms of lifelong learning — from biology or a physical science — and transfer that mechanism to an algorithm that improves AI https://spectrum.ieee.org/cars-that-think/robotics/artificial-intelligence/darpa-seeking-ai-that-can-learn-all-the-time _There are ghosts in the machine._medium.com Why You Should Fear Artificial Intelligence-AI State-Sponsored Trolling — “[T]he use by states of targeted online hate and harassment campaigns to intimidate and silence individuals critical of the state…[using] surveillance and hacking…afforded by a new era of pervasive technology…persecutes perceived opponents at scale…. [ …. There’s] several commonalities…[including] death and rape threats, using bots…to amplify vitriolic attacks at scale…accusations of treason or collusion with foreign intelligence agencies, using ‘black’ public relations firms to disseminate hyper-partisan or libelous disinformation about targets, spreading doctored images and memes…using spyware and hacking to gather…intelligence against targets, and sowing acrimonious sexism ….[ Changes in law are unlikely to effectively stem the practice of state-sponsored trolling in the short term…[so] technology companies bear…[responsibility] to curb…state-sponsored harassment campaigns…[as] form of human rights abuse…with pinpoint personalization Need] the expansion of…international and US law to include the types of online harassment and hate speech deployed as part of state-sponsored trolling attacks; the reconsideration of intermediary liability…[for] platforms in facilitating trolling campaigns;… .” technology companies to detect and identify state-linked accounts, bots, and hateful content online http://www.iftf.org/fileadmin/user_upload/images/DigIntel/IFTF_State_sponsored_trolling_report.pdf These 3 advantages once ensured U.S. prosperity. They’re not coming back. — “[Prosperity] constructs a society with greater economic and social justice…[Trump’s] appeal rests heavily on our loss of confidence in this vision…. From 1950 to 1973, the economy grew at an average annual rate of 4 percent …[but] from 2008 to 2017…averaged only 1.5 percent ….[T]he postwar boom…[had] three economic advantages…that were fated to fade…. backlog of new technologies (television, jet aircraft, synthetic fibers, antibiotics, air conditioning) that boosted both consumer spending and business investment…. destruction of Europe and Japan left…few serious [competitors]…[so] trade balance was routinely in surplus; the first deficit [1971]…. …. …. progress in stabilizing the economy 2008–2009 financial crisis remind us that the problem of the business cycle hasn’t been solved …. U.S. corporations turn out to be vulnerable…abroad, and to new technologies…. The skewing of income toward those at the top compounds the effect…[and] a breeding ground for discontent ” Trump blames… immigrants and imports…[and] American officials…[so] tariff proposals seem to be causing as much or more grief among the U.S. firms they’re supposed to help…[because] there’s a big difference between economic nostalgia and economic policy. https://www.washingtonpost.com/opinions/these-3-advantages-once-ensured-us-prosperity-theyre-not-coming-back/2018/07/22/835b4102-8c49-11e8-a345-a1bf7847b375_story.html?utm_term=.75d1f0c9de66 _As a dog that regularly bites, it is fair to say we have a love-hate relationship with capitalism. This lends itself to…_medium.com Capitalism and Post-Capitalism — The Whole Truth & Nothing But As inequality grows, so does the political influence of the rich — “SQUEEZING the top 1% ought to be…[easy] for politicians seeking to please the masses…[but] more concerned with immigration and sovereignty…[is] sign of the corrupting influence of inequality…. …. 19th century governments across the West faced the threat of socialist revolution…[and] promises of greater redistribution…[needed] institutional guarantees America’s electoral college…prized by elites…because they served as a check on the egalitarian tendencies of the masses …. …. [Today] more than two-thirds of Americans and Europeans express concern about current levels of inequality…[but] democracies might have become too jammed to make progress on any issue of substance …. Last year America’s government…change to taxes…tilts the distribution of income even more in favor of the rich…[and] politicians seem less interested in grappling with the problem [ So] rising inequality…boost the power of the rich…to counter the popular will…[with] political preferences of those with $40m or more…overwhelmingly favor cutting spending on major social-safety-net programs. (The general public wants it increased.).… [In] regular personal contact with elected officials…fewer than 30,000 people account for a quarter of all national political donations from individuals and…more than 80% of the money raised by political parties…[with] means to shape public opinion: financing…think-tanks…or buying media outlets…to shape public narratives about which problems deserve attention…[so] economic justice are crowded out…. [It’s] the ‘negative agenda power’ of the rich…that reducing inequality becomes less likely even as it becomes more urgent…with a loss of democratic accountability as a nasty side-effect …. [So far] across human history, inequality inevitably rises until checked by disasters like wars or revolutions…. If political leaders tried…they might…find that redistribution is a winner at the ballot box.” https://www.economist.com/finance-and-economics/2018/07/21/as-inequality-grows-so-does-the-political-influence-of-the-rich Shape of things to come — Health Insurers Are Vacuuming Up Details About You — And It Could Raise Your Rates — “[Insurers] are tracking your race, education level, TV habits, marital status, net worth**… ….** social media, whether you’re behind on your bills, what you order online…[then] feed this information into…algorithms that spit out predictions about how much your health care could cost them …. [But] patient advocates and privacy scholars say the insurance industry’s data gathering runs counter to its…federally required, allegiance to patients’ medical privacy …. HIPAA only protects medical information Patient advocates warn that using unverified, error-prone ‘lifestyle’ data to make medical assumptions could lead insurers to improperly price plans — for instance, raising rates based on false information — or discriminate against anyone tagged as high cost …. . . [This] is important because patients — through taxes, cash payments and insurance premiums…[fund] entire health care system Yet the industry’s…strategies and inside deals often has little to do with patients’ needs… [ …. T]he big guns in health data…[are] Optum, IBM Watson Health and LexisNexis ….[Optum] owned by…UnitedHealth Group…collected the medical diagnoses, tests, prescriptions, costs and socioeconomic data of 150 million Americans going back to 1993…to link patients’ medical outcomes and costs to details like their level of education, net worth, family structure and race…[and] filed a patent…to gather what people share on…Facebook and Twitter, and to link this…to the person’s clinical and payment information …. Doctors and hospitals have typically been paid based on the quantity of care [provided]…[but] moving toward paying them in lump sums for caring for a patient, or for an event, like a knee surgery…[so] can profit more when patients stay healthy …. Studies show social and economic aspects of people’s lives play an important role in [health]…[but] industry has a history of boosting profits by signing up healthy people and finding ways to avoid sick people … Affordable Care Act prohibits insurers from denying people coverage based on pre-existing health conditions or charging sick people more…[but] Trump administration is promoting short-term health plans, which do allow insurers to deny coverage to sick patients…[fail] to include enough information about which drugs a plan covers…[change] things a plan covers, or how much a patient has to pay…after a patient has enrolled…[or] exclude or limit certain types of providers from their networks — like those who have skill caring for patients with HIV or hepatitis C . …. ’ [IBM] surveys 80,000 Americans a year to assess lifestyle, attitudes and behaviors that could relate to health care…[and] analyzed together to identify social and economic factors for an area….A region with too many sick people, or with patients who don’t take care of themselves, might not be worth the risk ’God forbid you live on the wrong street…[and] get lumped in with a lot of bad things …. …. [LexisNexi] uses 442 nonmedical personal attributes to predict a person’s medical costs…[with] more than 78 billion records…including people’s cellphone numbers, criminal records, bankruptcies, property records, neighborhood safety and more…to predict patients’ health risks and costs in eight areas …. People who downsize their homes tend to have higher health care costs…[likewise] those whose parents didn’t finish high school. Patients who own more valuable homes are less likely to land back in the hospital within 30 days of their discharge….[T]he largest health actuarial firm in the world, Milliman…[uses] LexisNexis scores…[for] individual patients and make adjustments to protect themselves from losses ’No one gave anyone permission to do this…[and] not health data…[but] inferred data’ …[leading] to poor people being charged more…[and] harder for them to get the care they need….[Employers] could even decide not to hire people with…high medical costs in the future …. [Our] policymakers could…protect people’s information…[like] ’Europe, data protection is a constitutional right’….[Also] health scores should be treated like credit scores. Federal law gives people the right to know their credit scores and how they’re calculated .[If] rated by whether they listen to sad songs…or look up information about AIDS online, they should know…. … ” [LexisNexis] told me that if it had calculated my scores it would have done so on behalf of…my insurance company. So, I couldn’t have them. https://www.npr.org/sections/health-shots/2018/07/17/629441555/health-insurers-are-vacuuming-up-details-about-you-and-it-could-raise-your-rates ‘Scraper’ Bots and the Secret Internet Arms Race — “Companies are waging an invisible data war online…[using] software to scan rival websites and collect prices, a process called ‘scraping’…[with] machine-learning algorithms to help…decide how much to charge for different products…. . Google and Bing scrape web pages…for their search engines. Academics and journalists use scraping software to gather data… [ But] scraping can be a two-way street…[with] defenses to subvert scraping …. ….[ …. [One’s] showing different prices to real people than to bots ….[So some] mask bots to avoid detection…[or] appear to be coming from smartphones Users] choice: View ads or allow the app to use ‘some of your device’s resources Sometimes bots actually tell the sites they’re visiting…[but] can also lie. One technique for detecting bots is the frequency with which a visitor hits a site….Captchas can help, but…an inconvenience for legitimate users …. . [Trouble’s] is the need to allow some, but not all, bots to scrape a site If websites blocked bots entirely, they wouldn’t show up in search results. Retailers also generally want their pricing and items to appear on shopping comparison sites…. .” [Amazon] ‘prioritize humans over bots’….[Publishers] make sure advertisers are showing a site’s viewers the same ads that they show to the publishers….[Recently] Chrome extension was accused of being used to steal passwords https://www.wired.com/story/scraper-bots-and-the-secret-internet-arms-race/ DARPA Wants Your Insect-Scale Robots for a Micro-Olympics — “[Large robots] capable in some very specific situations, but…smaller, cheaper, more specialized robots is much more efficient…[especially] with data collection as opposed to manipulation…. [ …. DARPA] program called SHRIMP: SHort-Range Independent Microrobotic Platforms…goal is ‘to develop and demonstrate multi-functional micro-to-milli robotic platforms [Tech] advances in microelectromechanical systems (MEMS), additive manufacturing, piezoelectric actuators, and low-power sensors have allowed researchers to…to create the strength, dexterity, and independence of functional microrobotics platforms…. ] DARPA expects…systems that weigh less than one gram and fit into one cubic centimeter….[to . High Jump… vertically from a stationary starting position…and survivability…>5cm Long Jump… horizontally from a stationary starting position…and survivability…>5cm Weightlifting… progressively larger masses until…>10g. . Shotput_…_ >10cm @ 1g, >5cm @ 2g … Tug of War… connected to a load…> 25mN . Rock Piling… travel to, lift, and stack weights…in a minimum of two layers without human interaction…2g, 2 layers . Steeplechase… traverse the course without human interaction or recharge between each obstacle … 2 obstacles, 5m Biathlon… traverse to a series of beacon waypoints to create an open circuit without human interaction or recharge between each waypoint…2 beacons, 5m. Vertical Ascent… traverse up two surfaces, one with a shallow incline (10º) and the other with a sharp incline (80º) … 10m at 10°, 1m at 80°.” https://spectrum.ieee.org/automaton/robotics/robotics-hardware/darpa-wants-your-insect-scale-robots-for-a-micro-olympics DARPA Plans a Major Remake of U.S. Electronics — “[T]o make small groups of engineers capable of feats that would take 100 engineers to achieve today…aiming for 2025 to 2030… around chip architecture…of deep neural nets and other implementations**….** [A] program called Hive …[is] making associations across data sets which aren’t densely connected…doing things like updating memory access patterns, updating the type of cores that would be doing the processing, and working across the software stack to do a hardware/software codesign for a variety of applications…. ’…[ [Next] is something we call ‘software-defined hardware where] hardware is smart enough to reconfigure itself to be the type of hardware you want, based on an analysis of the data type that you’re working on ….[The] hard thing is…how to do that data introspection, how to reconfigure the chip on a…millisecond timescale…monitor whether you’re right…[and] constantly evolving toward the ideal solution…. … …. [Lastly] is the ‘domain specific system-on-chip starting with the software-defined radio…[then] to machine vision and machine learning and other domains to see if you can still have simplified programming models running on top of hyperspecialized hardware [Work] showed that two to three student designers can do full system-on-chip designs by abstraction and automation …. … Idea is really the intersection of machine learning and electronic design automation (EDA)…to capture the capabilities of the designer inside the EDA itself…[so] every time you use an EDA package, it gets smarter and…next design [easier] envision a cloud resource where multiple people are sharing and can all get better simultaneously…. …. [Today] rare to go to GitHub, find high-quality hardware blocks that are available, and have the verification tools and everything you would need to trust that…it is in a state that is useable for your design. Posh is…about the verification tools…[and] IP blocks that will be freely available As the abstraction of the hardware design gets higher and higher, it gets closer to the software community’s mentality…[and] a methodology to understand how good something is at a deep level before it’s used …. .” [Also] look at where memory is stored and ask: Can those same materials be used for processing information?…. Next-generation nonvolatile memory, for example, that switches very fast and with a low write energy https://spectrum.ieee.org/tech-talk/computing/hardware/darpas-planning-a-major-remake-of-us-electronics-pay-attention.html Find more of my ideas on Medium at, . A Passion to Evolve Or click the Follow button below to add me to your feed. Prefer a weekly email newsletter — free, no ads, no spam, & never sell the list — email me with “add me” in the subject line. dochuston1@gmail.com May you live long and prosper!Doc Huston

News — At The Edge — 7/28

Hi there 👋 Today, let's dive into 7 ML repos that (and those you have likely never heard of)! the top 1% of developers use What defines the top 1%? Ranking developers is a problem, and every methodology has its issues. difficult For example, if you rank developers by the number of lines of code they have written in Python you’ll probably get some pretty good Python developers at the top. However, you may get people who have just copy-pasted lots of Python code to their repos and they aren’t that good. 🙁 At Quine, we , but again not 100% perfect! have developed a methodology that we think is robust in most cases It’s called DevRank (you can read more about how we calculate this ). here The notion of the Top 1% that I use in this article is based on DevRank. And yes, we continue working on this to make it better every day! How do we know which repos the top 1% use? We look at the repos that the 99th percentile has starred. We then compare the propensity of the top 1% of devs vs the bottom 50% of devs to star a repo, and automatically generate the list. In other words, these . repositories are the hidden gems used by the top 1% of developers and are yet to be discovered by the wider developer community CleverCSV I handle your messy CSVs A package developed by some friends of ours . A small but common problem at the start of many ML pipelines, solved well. 🔮 to handle common pain points of loading CSV files CleverCSV is able to detect and load various different CSV dialects, without needing to be told anything in its arguments. CSV files do not provide the necessary information to perform this natively, so some clever inference is required by the library. CleverCSV can even handle messy CSV files, which have mistakes in their formatting. In addition to the Python library, CleverCSV also includes a command line interface for code generation, exploration and standardization. https://github.com/alan-turing-institute/CleverCSV skll Streamline ML workflows with scikit-learn through CLI to obtain cross-validated results with multiple algorithms? Try ’s interface instead for a much cleaner coding experience. ⚡️ Are you writing endless boilerplate in sklearn skll Skll is designed to enable running machine learning experiments with scikit-learn more efficiently, reducing the need for extensive coding. The leading utility provided is called , and it runs a series of learners on datasets specified in a configuration file. run_experiment It also offers a Python API for straightforward integration with existing code, including tools for format conversion and feature file operations. https://github.com/EducationalTestingService/skll BanditPAM k-Medoids Clustering in Almost Linear-Time Back to fundamental algos here — that can run in almost linear time. 🎉 BanditPAM is a new k-medoids (think a robust “k-means”) algorithm Runs in O(nlogn) time rather than O(n^2) time, as per previous algorithms. Cluster centers are data points, and hence correspond to meaningful observations. The center of a k-means cluster may correspond to invalid data; this is not possible with k-medoids. Arbitrary distance metrics can be used (think L1, or Hamming distance for example), efficient k-means algos are typically limited to L2 distance. Implemented from this , BanditPAM is ideal for data scientists looking for a powerful, scalable solution for group work, especially those dealing with large or complex data. paper https://github.com/motiwari/BanditPAM recordlinkage The record matcher and duplicate detector everyone needs Have you ever , or who have slightly different attributes? Use this great library inspired by the , rebuilt for modern Python tooling. 🛠️ struggled to match users within different datasets who have spelt their name wrong Freely Extensible Biomedical Record Linkage (FEBRL) Provides a Python native implementation of the powerful FEBRL library, making use of numpy and pandas. Includes both supervised and unsupervised approaches. Includes tools for generating matching pairs to enable supervised ML approaches. RecordLinkage is ideal for data scientists looking for a flexible, Python-based solution to perform record linkage and data deduplication tasks. https://github.com/J535D165/recordlinkage dragnet A sole focus on web page content extraction . Dragnet focuses on the content and user comments on a page, and ignores the rest. It's handy for our scraper-friends out there. 🕷️ Content extraction from webpages Dragnet aims to extract keywords and phrases from web pages by removing unwanted content such as advertising or navigation equipment. Provides simple Python functions ( and ) with the option to include or exclude comments for extracting content from HTML strings. extract_content extract_content_and_comments A extractor class is there for more advanced use, allowing customisation and training of extractors. sklearn-style https://github.com/dragnet-org/dragnet spacy-stanza The latest StanfordNLP research models directly in spaCy Interested in standard NLP tasks such as part-of-speech tagging, dependency parsing and named entity recognition? 🤔 SpaCy-Stanza wraps the Stanza (formerly StanfordNLP) library to be used in spaCy pipelines. The package includes named entity recognition capabilities for selected languages, extending its utility in natural language processing tasks. It supports 68 languages, making it versatile for various linguistic applications. The package allows your pipeline to be customised with additional spaCy components. https://github.com/explosion/spacy-stanza Littleballoffur "Swiss Army knife for graph sampling tasks" Have you ever worked with a dataset so large that you need to take a sample of it? For simple data, random sampling maintains distribution in a smaller sample. However, in complex networks, snowball sampling - - better captures network structure. where you select initial users and include their connections This helps avoid bias in analysis. 🔦 Now, do you have of it (either for algorithmic or computational reasons)? 👩‍💻 graph-structured data and need to work on samples Littleballoffur offers a range of methods for sampling from graphs and networks, including node-, edge-, and exploration-sampling. Designed with a unified application public interface, making it easy for users to apply complex sampling algorithms without deep technical know-how. https://github.com/benedekrozemberczki/littleballoffur I hope these discoveries are valuable to you and will help build a more robust ML toolkit! ⚒️ If you are interested in leveraging these tools to create impactful projects in open source, you should first find out what your current DevRank is on and see how it evolves in the coming months! Quine Lastly, please consider supporting these projects by starring them. ⭐️ PS: We are not affiliated with them. We just think that great projects deserve great recognition. See you next week, Your Hackernoon buddy 💚 Bap If you want to join the self-proclaimed "coolest" server in open source 😝, you should join our . We are here to help you on your journey in open source. 🫶 discord server

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