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When your Lex Luthor passes away – Epidemiological

Dr. Mike
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When your Lex Luthor passes away – Epidemiological


To be trustworthy, I don’t know the way I really feel about this.

You might need observed that I finished posting overtly on social media for just a few months again in 2011 in case you adopted me again then. In one in every of my evenings of preventing anti-vaccine misinformation on Twitter, I came across one specific troll who was mocking a feminine doctor over her seems to be. He was doing it to assault her knowledgeable opinion on vaccines. After I engaged him, I ended up kicking a hornet’s nest of types that resulted in my bosses on the Maryland Division of Well being ordering me to chop it out with the social media posting.

The dude mentioned, amongst different issues, that he was a millionaire, making his cash from prescribed drugs. Certainly, he and his spouse (and seemingly others in his private circle) began just a few LLCs that had been engaged within the pharmaceutical business. As a result of I wrote a weblog put up calling him a “douchebag” (which was very immature of me, I do know), he determined to threaten everybody on the well being division with authorized motion. It was “tortuous interference with commerce”. (It’s truly “tortious,” as in a civil improper that might be taken to courtroom.)
Sure, he discovered the emails of just about everybody on the well being division and determined to launch that threatening e-mail to me and copied them. Even the Secretary of Well being was wrapped up on this.

This was additionally the time when social media was changing into increasingly of an issue with well being disinformation and misinformation, one thing I had warned my bosses about. So the bosses took me into an workplace, together with some attorneys for the State of Maryland, they usually (once more) had a chat with me.

I write “once more” as a result of I had already been talked to about earlier engagements with anti-vaccine activists. Most notably, I had written a weblog put up about Jenny McCarthy’s “Era Rescue” group and the way they had been serving to a younger girl who allegedly developed a neurological situation after getting her influenza vaccine. (It turned out to be extra sophisticated than that.)

Anyway, the dude claimed to have attorneys on the prepared and that he can be submitting some type of lawsuit promptly in opposition to me and the well being division. As a result of, in his view, the issues I wrote about him had been written with the consent or acknowledgement of the well being division. Nope. I had written all of that like I’m doing now, at house and in the midst of the night time. (Possibly the dearth of sleep led me to name him a douchebag.)

His assaults acquired weirder when members of various science blogs determined to come back to my protection. The entire thing changed into the “Epilate” (referencing Watergate) affair. My mates and colleagues complained that I used to be being silenced. A few of them who know in regards to the legislation warned my bosses that, as a authorities entity, the well being division needed to tread rigorously when silencing me. That complete First Modification factor and whatnot.

Within the feedback part of a few of these blogs, the dude made some alarming feedback, threatening extra lawsuits and sending hyperlinks to graphically violent movies. Then all of us determined to disregard him, and he form of simply went away. I even despatched him a well-crafted e-mail (written on the recommendation of a lawyer) to get him to again off. Lastly, I blocked him on all social media.

For months, I referred to as him my “Lex Luthor” as a result of he was a millionaire (in response to him). He was additionally considerably of an entrepreneur in science. And he appeared to hate me for being me and nothing extra. In the long run, he form of simply light into the background.
His bullying led me to name him out on it. Calling him out on it led the bosses to inform me to get off social media. My response to their censorship led me to hunt a means out of the well being division. And that led me into the arms of the doctoral diploma.

In truth, in a touch upon one of many weblog posts written by a pal about this complete factor, I discussed the significance of letting issues go so I may discover a doctoral diploma that may enable me to proceed to struggle the nice struggle. Little did I do know that I might be going to Johns Hopkins College in lower than two years after that complete debacle.

Just a few days in the past, as I wrote a weblog put up about my “origin story” in public well being, I acquired curious and re-visited that incident. I used to be inquisitive about the place “Lex” ended up, and I came upon he handed away. His spouse filed a request with the courtroom to grow to be the executor of his property. There was one thing a few wrongful demise lawsuit having been settled. However one factor within the submitting struck me:

“ln her petition for probate filed on January 25, 2023, petitioner alleged Decedent had little or no belongings other than tangible private results. Decedent died in a car accident and probate was opened in an effort to have a private consultant in place to start a civil motion for wrongful demise…”

Little or no belongings? The dude who claimed to everybody on-line how he had hundreds of thousands and the way he would use these hundreds of thousands to sue everybody?

On the one hand, somebody misplaced their associate. (I feel they’d kids. If that’s the case, somebody misplaced a mum or dad.) That’s all very unhappy. I don’t need to think about a world the place I lose my spouse. (Heck, you don’t need to think about such a world, both.)

However, then again, all my interactions with the dude had been detrimental. From my perspective, he by no means contributed to society in a significant means. You see, when he mentioned he had all these hundreds of thousands, we (I and everybody he interacted with within the on-line science blogs) seemed him up. No charities, although he claimed he needed to do (or was doing) one thing in Africa. Nothing of… substance.

There have been different issues we discovered on-line, however these are neither right here nor there. They’re non-public issues between him and his household.

And now, it’s throughout. He’s gone.

It’s simply bizarre.

Evaluation Of Panel Knowledge Fundamentals: Definitions, Methodologies, And Purposes

Dr. Mike
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Evaluation Of Panel Knowledge Fundamentals: Definitions, Methodologies, And Purposes


1. Introduction to Panel Knowledge Evaluation

Panel knowledge, often known as longitudinal knowledge, represents a strong statistical framework that mixes each time sequence and cross-sectional dimensions, enabling researchers to trace the identical topics over a number of time durations. This distinctive knowledge construction has revolutionized empirical analysis throughout quite a few disciplines by offering deeper insights into dynamic modifications and causal relationships that can not be adequately captured by conventional cross-sectional or time sequence knowledge alone.

2. Core Ideas and Definition of Panel Knowledge

 2.1 Elementary Traits

Panel knowledge is characterised by its multidimensional construction that mixes time sequence and cross-sectional parts:

– A number of Observations: Monitoring the identical topics (entities, people, corporations, nations) over a number of time durations

– Consistency in Measurement: The identical variables are measured at every time level, guaranteeing comparability and consistency throughout observations

– Longitudinal Dimension: Capturing knowledge at a number of time factors permits researchers to review the dynamics of change and evolutionary patterns

– Twin Variation: Panel knowledge accommodates two sources of variation – throughout entities and throughout time – enabling extra refined evaluation than single-dimension knowledge

The notation for panel knowledge usually makes use of subscripts the place Yit represents the remark for particular person i at time t, with i = 1,…,N (cross-sectional dimension) and t = 1,…,T (time sequence dimension).

2.2 Balanced vs. Unbalanced Panels

– Balanced Panel: Accommodates the identical variety of observations for all teams throughout all time durations

– Unbalanced Panel: Has lacking values at a while observations for some teams, which requires specialised dealing with strategies

2.3 Knowledge Group Codecs

– Lengthy Format: Observations of every variable from all teams throughout all time durations are stacked right into a single column

– Extensive Format: Observations for a single variable from separate teams are saved in separate columns throughout time durations

3. Methodological Approaches to Panel Knowledge Evaluation

 3.1 Modeling Heterogeneity

The first benefit of panel knowledge lies in its skill to account for heterogeneity throughout particular person items—a essential function that distinguishes it from cross-sectional or time sequence knowledge alone:

– Homogeneous Fashions: Assume that mannequin parameters are frequent throughout all people (e.g., pooled OLS)

– Heterogeneous Fashions: Permit parameters to differ throughout people, together with mounted results and random results fashions

The mounted results mannequin captures individual-specific results which can be correlated with noticed traits, utilizing the formulation: Yit = αi + βXit + εit, the place αi represents entity-specific intercepts. This method is helpful when analyzing variables that change inside entities over time.

The random results mannequin assumes that individual-specific results are uncorrelated with noticed variables, represented as: Yit = βXit + δZi + εit, the place Zi represents unobserved traits. This method is extra acceptable when analyzing each between and within-individual variation.

 3.2 Superior Modeling Strategies

– One-Approach Fastened Results: Controls for unobserved heterogeneity that varies throughout entities however is fixed over time

– One-Approach Random Results: Treats individual-specific results as random variables following a likelihood distribution

– Two-Approach Results Fashions: Incorporates each individual-specific and time-specific results to account for heterogeneity throughout each dimensions

– Dynamic Panel Knowledge Fashions: Contains lagged dependent variables to deal with autocorrelation points (e.g., Arellano-Bond estimators)

 4. Benefits and Purposes of Panel Knowledge

4.1 Key Benefits

– Wealthy Info Content material: By monitoring the identical topics over time, panel knowledge supplies detailed insights into modifications and traits not attainable with cross-sectional knowledge alone

– Causal Inference Enhancement: The longitudinal nature facilitates stronger causal conclusions by permitting researchers to watch how modifications in impartial variables have an effect on dependent variables over time

– Management for Unobserved Variables: Panel knowledge strategies can management for time-invariant traits that may in any other case confound outcomes, lowering the chance of omitted variable bias

– Dynamic Evaluation Functionality: Researchers can analyze how and why modifications happen over time, offering a dynamic perspective on financial, social, and well being phenomena

– Effectivity in Estimation: Panel knowledge usually accommodates extra variability and fewer collinearity amongst variables, resulting in extra environment friendly econometric estimates.

 4.2 Sensible Purposes

– Economics: Learning earnings dynamics, labor market conduct, and financial development patterns

– Public Well being: Analyzing illness development, healthcare utilization, and well being outcomes over time

– Social Sciences: Inspecting social mobility, instructional attainment, and household dynamics

– Finance: Monitoring agency efficiency, inventory costs, and market volatility throughout a number of entities.

Desk: Outstanding Panel Datasets and Their Traits

Dataset Title Scope Key Variables Pattern Measurement
Panel Research of Revenue Dynamics (PSID) US households since 1968 Revenue, wealth, Employment, and well being Over 10,000 households
British Family Panel Survey (BHPS) UK households since 1991 Family earnings, employment, and training Roughly 5,500 households
German Socio-Financial Panel (GSOEP) German inhabitants since 1984 Demographics, earnings, life satisfaction Round 30,000 people
Nationwide Longitudinal Surveys (NLS) US cohorts Employment, training, coaching, earnings Varies by cohort

5. Challenges and Limitations in Panel Knowledge Evaluation

Regardless of its quite a few benefits, panel knowledge evaluation presents a number of methodological challenges that researchers should tackle:

 5.1 Knowledge Assortment and Administration Points

– Attrition Issues: Topics could drop out of the examine over time, resulting in incomplete knowledge and potential choice bias

– Larger Prices: Gathering knowledge over a number of time durations is often dearer than cross-sectional knowledge assortment

– Knowledge Complexity: Managing and sustaining panel datasets requires refined knowledge administration practices on account of their measurement and complexity

5.2 Analytical Challenges

– Complexity in Evaluation: Panel knowledge typically requires specialised statistical strategies which will current a studying barrier for researchers

– Stationarity Issues: Macroeconomic sequence with longer time frames could require cautious testing for unit roots and stationarity

– Mannequin Specification Points: Selecting between mounted results, random results, and different modeling approaches requires cautious theoretical consideration

6. Conclusion and Future Instructions

Panel knowledge evaluation represents a strong methodological framework that has remodeled empirical analysis throughout quite a few disciplines. There should be a constant emphasis on the distinctive benefits of panel knowledge for analyzing dynamic processes and controlling for unobserved heterogeneity, whereas additionally acknowledging the methodological challenges that require refined analytical approaches.

The way forward for panel knowledge evaluation will probably contain continued growth of extra refined modeling strategies to deal with rising analysis questions, notably in areas involving large-scale datasets with advanced hierarchical constructions.  Advances in computational energy and statistical software program have made panel knowledge evaluation extra accessible to researchers throughout numerous fields, promising continued innovation and software in years to return.

Researchers should fastidiously contemplate analysis questions, knowledge availability, and methodological assumptions when deciding on between different modeling frameworks. The selection between mounted results, random results, and different modeling approaches ought to be guided by theoretical issues and empirical assessments to make sure acceptable specification and legitimate inference.



Simplify Common Expressions with RegExpBuilderJS

Dr. Mike
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Simplify Common Expressions with RegExpBuilderJS




Cisco Joins Forces with OCP within the Ethernet for Scale-Up Networking (ESUN) Collaboration

Dr. Mike
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Cisco Joins Forces with OCP within the Ethernet for Scale-Up Networking (ESUN) Collaboration


Final week, Cisco launched the 51.2T Cisco 8223 router P200 deep-buffer routing silicon, purpose-built for enabling AI clusters with a whole lot of hundreds of GPUs to scale-across a number of information facilities. Whereas scale-across is the brand new frontier for connecting the most important AI coaching workloads, scale-up stays the vital enabler for ultra-high bandwidth communication between AI compute nodes. 

Cisco is proud to proceed our efforts to speed up scale-up connectivity as an preliminary member of the Open Compute Venture’s (OCP) Ethernet for Scale-Up Networking (ESUN) collaboration. The ESUN collaboration, which launched in the present day on the OCP International Summit 2025, marks an vital step ahead in advancing Ethernet expertise to fulfill the distinctive calls for of scale-up networking.  

AI workloads are re-shaping fashionable information middle architectures, and networking options should evolve to fulfill the rising calls for. ESUN brings collectively AI infrastructure operators and distributors to align on open requirements, incorporate greatest practices, and speed up innovation in Ethernet options for scale-up networking. ESUN will focus solely on open, standards-based Ethernet switching and framing for scale-up networking—excluding host-side stacks, non-Ethernet protocols, application-layer options, and proprietary applied sciences. 

Cisco is Dedicated to Open, Interoperable AI Networking  

Cisco’s participation in ESUN displays our dedication to open, interoperable, and high-performance AI networking at scale. We consider Ethernet is the inspiration for scale-up networks, and that open collaboration is one of the best path to speed up adoption. Cisco will proceed to play a task in a spread of trade requirements our bodies which can be working in direction of this objective. With ESUN, we stay up for furthering our partnerships and trade management to drive open innovation. 

Cisco’s preliminary priorities for the collaboration embody: 

  • Optimizing open trade requirements for Ethernet-based scale-up options;  
  • Selling interoperability of XPU networking interfaces and Silicon One-based Ethernet switches; 
  • And defining environment friendly L2/L3 headers for switching, error restoration and enabling  lossless, low latency scale-up interconnectivity. 

By collaborating with different ecosystem companions throughout {hardware} and software program, Cisco and ESUN purpose to advance Ethernet-based scale-up networking throughout the trade for fast adoption. We stay up for working with the ESUN OCP membership to form the way forward for scale-up networking! 

Healthcare CIO Adopts AI for Productiveness

Dr. Mike
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Healthcare CIO Adopts AI for Productiveness


Jefferson Metropolis Medical Group, one of many largest multispecialty healthcare supplier organizations in mid-Missouri, is utilizing AI to handle conferences, streamline medical documentation, and optimize supplier workflows. One space the place the physician-owned and independently operated healthcare group is treading rigorously: utilizing AI in its contact heart.

“The factor that we take into consideration in healthcare is compassion,” stated Aaron Hendrickson, CIO of JCMG, which incorporates 125 medical healthcare professionals and 600 staff, and serves over 70,000 sufferers. Certainly, the human contact is central to JCMG’s mission to supply patient-centered care, and its employees has “many differing opinions”  about how AI is used.

“If you begin going absolutely digital and you do not have folks [in your contact center], you’ll be able to run into a problem there the place sufferers say, ‘Oh, I name into JCMG and I by no means speak to anybody,'” Hendrickson stated.   

Balancing AI and Human Interplay

Whereas AI is not presently deployed in JCMG’s contact heart, Hendrickson stated he sees future alternatives for utilizing the expertise to help each the assistance desk and stay brokers with name dealing with and different operations.   However “there must be a line within the sand there someplace,” he added, in order that sufferers can nonetheless attain a stay particular person to debate their healthcare wants.

Associated:AIDS Healthcare Basis CIO Values the ‘Private Contact of AI’

Hendrickson caught up with InformationWeek at Cisco’s latest WebexOne occasion in San Diego, the place he talked about how JCMG is utilizing AI and Cisco applied sciences, together with Webex and Cisco telephones, as a part of its digital transformation.

He stated he believes the “No. 1 use case” for AI on the group will in the end be its integration into the system’s unified communications (UC) platform. However the timing of when JCMG makes use of AI for each part in its UC suite can be as much as the group’s healthcare professionals, who play a central position in deciding the place to spend money on AI and different applied sciences that help the healthcare group’s employees.

“We now have healthcare professionals   that say we have to use AI for affected person engagement — so, for instance, utilizing AI for speaking lab outcomes again to a affected person so the supplier or clinician does not should,” he stated. “There’s a whole lot of completely different use instances on the market.”

Strict Protocol for Getting AI Purchase-In

JCMG follows a structured course of for deploying any new expertise to help its physicians. Hendrickson’s IT group works intently with an IT committee that features  5 healthcare practitioners from differing specialties. This IT committee opinions demos of recent applied sciences and offers suggestions to the IT group. After the evaluation and approval of a brand new expertise, JCMG’s healthcare practitioners can nonetheless select whether or not  to decide in or out of utilizing instruments.

Associated:Backplane to the Future: InfiniBand Know-how Meets Quantum

Some crucial enterprise applied sciences, corresponding to cybersecurity options, are deployed extensively throughout the group, whereas some productiveness instruments, for instance, are elective for physicians to make use of. Hendrickson defined that some elective applied sciences, like ambient listening, are billed again to the suppliers.

Ambient listening is a device that leverages AI to hurry up the method of submitting affected person charts. Physicians document their conversations with sufferers, and the ambient listening expertise then connects to a third-party AI function to create a transcript of the dialog.

Whereas some medical doctors have chosen to decide out of utilizing the expertise, the case for ambient listening was comparatively clear-cut for a lot of of JCMG’s physicians : “In the event you’re documenting in actual time, then your work/life steadiness is there as a result of the doctor, on the finish of the day, is not having to take a seat down and sort out a bunch of notes,” Hendrickson stated. “They wrap up their day, spend time with their household, they usually’re pleased.”

The adoption follows broader business tendencies. In line with a survey by athenahealth, 68% of physicians elevated their use of AI for medical documentation this 12 months, with 48% of physicians   citing “improved medical documentation” as the largest potential good thing about utilizing AI in healthcare. Nevertheless, 61% of physicians reported issues that AI may scale back human interplay with sufferers. These findings stemmed from athenahealth’s 2025 Doctor Sentiment Survey, which surveyed 1,001 physicians  nationwide.

AI for Managing Conferences

Along with medical documentation, JCMG makes use of AI to spice up assembly productiveness. The group presently makes use of the Cisco AI Assistant options for Webex-based conferences, which give AI-generated assembly summaries, motion gadgets, search choices, and extra.

Hendrickson defined that the Webex Suite additionally works effectively in conditions the place the JCMG group is having a gathering with exterior events utilizing applied sciences corresponding to Zoom, Microsoft Groups, or Google Meet. (Cisco stated Zoom on Cisco units can be usually obtainable later this 12 months.)    

Bob Laliberte, principal analyst specializing in networking and observability at The Dice Analysis, weighing in on the Cisco occasion, famous that the corporate’s give attention to interoperability is a giant a part of its technique. 

“Cisco underscored that openness is not a speaking level however a product precept. Clients ought to have the ability to use third-party purposes, run them wherever crucial (cloud, on-premises, or sovereign), and nonetheless entry new AI options,” Laliberte stated.

As to when JCMG will use AI in all areas of its UC, that is as much as the group’s physicians, Hendrickson stated.

“Realizing once we’re prepared is kind of when our physicians are able to make that step,” he stated. “We all know we have to do it. We all know it may possibly add a whole lot of worth to our group.”

*Editor’s word: Cisco offered journey and lodging for the Cisco WebexOne occasion in San Diego.

 



EuroLLM Secures Supercomputing Energy for AI Dataset

Dr. Mike
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EuroLLM Secures Supercomputing Energy for AI Dataset


LISBON, Could 28, 2025 | Multilingual open-source initiatives EuroLLM and OpenEuroLLM have joined forces to safe 3 million GPU hours on Leonardo – one in every of Europe’s strongest supercomputers – to develop a groundbreaking artificial dataset masking 40 European languages.

The initiative was chosen underneath the EuroHPC AI Manufacturing unit Massive Scale name recognizing its potential to advance Europe’s management in multilingual synthetic intelligence.

On the coronary heart of this initiative is a mission to construct strategic autonomy for Europe in AI improvement. By producing high-quality, ethically sourced artificial knowledge, it addresses a long-standing hole in linguistic illustration, specifically for low-resource and minority languages.

André Martins, Chief Scientific Officer at Unbabel and EuroLLM challenge co-lead stated:

“By becoming a member of forces by means of EuroLLM and OpenEuroLLM, we’re bringing collectively the analysis power and open-source ethos wanted to sort out one in every of Europe’s greatest AI challenges: linguistic inclusion at scale. This challenge is about guaranteeing Europe owns its language knowledge, displays its cultural variety, and units its personal requirements in accountable AI improvement.”

The GPU allocation will energy the MultiSynt strategy, a key part of the challenge which seeks to handle one of the vital persistent bottlenecks in multilingual LLM improvement: the dearth of high-quality pre-training knowledge.

“This is a crucial step in securing giant sufficient computing energy to construct the OpenEuroLLM’s household of open LLMs. I’m additionally glad that this has been finished in collaboration with the skilled workforce from the EuroLLM challenge. The objective of this subproject is to discover multilingual artificial knowledge creation and consider their use with a purpose to attain a better frequent objective: constructing high-quality multilingual LLMs for all European languages and past.” – notes Jan Hajic, Charles College, coordinator of the OpenEuroLLM challenge.

Whereas most artificial knowledge technology for giant language fashions up to now has targeted on English, MultiSynt will create the primary complete multilingual artificial dataset designed particularly for pre-training. By leveraging generative fashions to reinforce and diversify present content material, it should assist the broader goals of EuroLLM and OpenEuroLLM: constructing open-source, culturally grounded, and linguistically various AI for Europe.

This system will assist linguistic variety, open entry, and knowledge high quality and aligns with the broader goals of the European Fee’s Digital Decade and the AI Act.

The awarded 3 million hours replicate a robust endorsement of the challenge’s technical advantage and strategic worth.

The initiative will likely be executed by means of phased releases of the artificial dataset.

****ENDS****

About EuroLLM
The EuroLLM challenge contains Unbabel, Instituto Superior Técnico, the College of Edinburgh, Instituto de Telecomunicações, Université Paris-Saclay, Aveni, Sorbonne College, Naver Labs, and the College of Amsterdam. Collectively they created EuroLLM-9B, a multilingual AI mannequin supporting all 24 official EU languages. Developed with assist from Horizon Europe, the European Analysis Council, and EuroHPC, this open-source LLM goals to reinforce Europe’s digital sovereignty and foster AI innovation. 

About OpenEuroLLM

Bringing collectively 20 of Europe’s main AI firms, analysis establishments and EuroHPC centres, the OpenEuroLLM challenge is creating a brand new technology of open supply giant language fashions for European languages. Co-funded by the European Union’s Digital Europe Programme, the challenge is laying the foundations for AI infrastructure that may improve competitiveness, resilience, and digital sovereignty.

About EuroHPC
The European Excessive Efficiency Computing Joint Enterprise (EuroHPC JU) is a joint initiative between the EU, European international locations, and personal companions to develop a world-class supercomputing ecosystem in Europe.

Media Contacts:

For extra data or interview requests, please don’t hesitate to achieve out to our media contacts beneath:

• Unbabel: farah.pasha.ext@unbabel.com

In regards to the Writer

Content material Workforce

Unbabel’s Content material Workforce is answerable for showcasing Unbabel’s steady progress and unimaginable pool of in-house consultants. It delivers Unbabel’s distinctive model throughout channels and produces accessible, compelling content material on translation, localization, language, tech, CS, advertising and marketing, and extra.

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GrapheneOS is lastly prepared to interrupt free from Pixels, and it might by no means look again

Dr. Mike
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GrapheneOS is lastly prepared to interrupt free from Pixels, and it might by no means look again


Calvin Wankhede / Android Authority

TL;DR

  • The makers of GrapheneOS have confirmed they’re partnering with a significant Android OEM to carry the privacy-focused Android fork to Snapdragon-powered smartphones.
  • The mission has confirmed it’s bringing assist for Pixel 10, however is not sure whether or not assist will proceed for Pixel 11.
  • GrapheneOS didn’t reveal the title of its new accomplice, however stated that these gadgets shall be priced in the identical vary as Pixels.

GrapheneOS, the favored privacy-focused Android fork identified for its unique assist of Google Pixel telephones, is about to forged a a lot wider internet. The mission has confirmed it’s working with a significant Android smartphone producer to carry its safe working system to future flagship telephones, as first noticed by PiunikaWeb.

Don’t wish to miss the most effective from Android Authority?

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Till now, GrapheneOS has been accessible solely on Pixel telephones, making Google’s flagships standard amongst privateness lovers, journalists, and, as a Spanish police report advised earlier this 12 months, even organized crime teams in Catalonia. However that Pixel exclusivity might finish by 2026 or 2027.

Graphene OS Android OEM partnership confirmation
Graphene OS android OEM partnership timeline

GrapheneOS revealed in a Reddit thread that it has been working with a “main Android OEM” since June 2025 to allow official assist for “future variations of their present fashions.” These gadgets will reportedly use flagship Snapdragon chips, a notable shift from Google’s in-house Tensor processors.

The mission defined that solely Pixels have met its strict safety and replace necessities to this point. Nonetheless, the brand new partnership means that one other OEM is lastly matching these requirements. GrapheneOS additionally hinted that the mysterious accomplice’s gadgets shall be “priced equally to Pixels” and accessible globally as a part of the model’s commonplace lineup.

Sadly, GrapheneOS didn’t reveal the title of its new accomplice. Nonetheless, people are speculating it may very well be Nothing, given it’s one of many few OEMs that enable bootloader unlocking, which is a prerequisite for putting in GrapheneOS. That stated, Nothing doesn’t actually qualify as a “main Android OEM” proper now.

Graphene OS Pixel Support Ambiguity

The announcement comes after the mission publicly criticized Google’s prolonged safety patch timelines. The platform argued that Google leaves vulnerabilities uncovered for months. Working with a model that grants earlier patch entry might enable GrapheneOS to take care of its excessive safety requirements unbiased of Google.

For Pixel homeowners, nothing adjustments, at the least for now. The OS will proceed to assist present gadgets till their end-of-life. GrapheneOS assist can also be coming for Pixel 10, however the mission continues to be contemplating whether or not or to not add assist for Pixel 11.

Thanks for being a part of our neighborhood. Learn our Remark Coverage earlier than posting.

Oct 6: Moral AI: Darth Vader and the Cowardly Lion

Dr. Mike
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Oct 6: Moral AI: Darth Vader and the Cowardly Lion


Can we belief something we see? Or hear? Final week noticed the information that James Earl Jones was retiring from his position voicing Darth Vader within the Star Wars franchise, and farming it out to AI. Temporary musings comply with.
Particularly, Jones was licensing the rights to his voice to Lucasfilm so they may recreate the voice by way of AI. Synthesizing voices and pictures is now one thing even the general public (or at the least the data-savvy public) can do. In associated information from final week, the analysis lab OpenAI eliminated the waitlist for its DALL-E platform, which may create startlingly actual photos from a easy textual content phrase (see https://openai.com/weblog/dall-e-now-available-in-beta/). Comparable instruments exist to imitate an individual’s voice (see https://beebom.com/deepfake-ai-voice-generator-mimic-celebrity-voices/).
AI’s potential to imitate people to the purpose the place artificial photos and voices are nearly indistinguishable from the true factor creates potentialities for all kinds of mischief. This new frontier for AI is a supply of nice concern to the group that worries about moral points in AI.
However did James Earl Jones’ rights to his personal voice come naturally? Or did he safe these rights in an earlier Star Wars contract?

The Cowardly Lion versus Lestoil

Oct 6: Moral AI: Darth Vader and the Cowardly Lion
It seems that rights to our personal picture and voice are secured to us by a “proper of publicity.” This was examined considerably comically in a authorized contest between Bert Lahr, greatest often called the Cowardly Lion within the Wizard of Oz, and Adell Chemical Firm, greatest often called the maker of Lestoil cleaner.

Enter the Duck

DuckDuck
Lahr claimed that his distinctive voice was unlawfully appropriated by Lestoil in a cartoon industrial that includes a duck. Particularly, Adell employed “because the voice of the aforesaid duck, an actor who specialised in imitating the vocal sounds of the plaintiff.” He additional claimed that the “huge public tv viewers and the leisure business” believed that the phrases spoken and the comedian sounds made by the cartoon duck have been provided and made by Lahr, “buying and selling upon his fame and renown.”
Moreover, Lahr alleged damages as a result of individuals would possibly now imagine he had been decreased to creating nameless duck commercials. And, so as to add insult to damage, not making them properly. Lahr acknowledged that the standard of the duck’s voice within the industrial was inferior to what he may have produced and led individuals to suppose that his talents had deteriorated. Lahr’s 1961 case is commonly cited in research of the “proper of publicity.” He didn’t prevail, however the ruling didn’t undercut the essential proper of publicity. The court docket merely felt that his injury declare,

“Your (nameless) industrial appeared like me, however not so good,” was too broad, and would result in extreme litigation. The proper of publicity is now deeply embedded in widespread and statutory regulation on the state degree, generally as a part of a “proper to privateness.”

Ethical #1

If it appears like a duck and walks like a duck, it may be AI.

Ethical #2

Extra significantly, there are a few classes for these working towards innovative AI. Some new applied sciences and instruments are so alluring that they only name out to be pursued and perfected as objects of technical surprise in and of themselves, with out regard to context, objective or penalties, together with authorized penalties. Finally, accountable information scientists want to think about how a cool new know-how will in the end serve bigger reputable enterprise or organizational targets (and pay attention to the hurt that may be brought on alongside the way in which). Practitioners of rising applied sciences are understandably immune to rules and legal guidelines geared toward proscribing what they will do, and, certainly, focused legal guidelines like which might be typically counter-productive in the long term. The story of the “proper of publicity” reminds us that, within the absence of AI-centric legal guidelines, it’s nonetheless not the Wild West. There are time-honored authorized constraints lengthy predating the appearance of AI that also have to be obeyed by these growing AI purposes.

This new blood check can catch most cancers 10 years early

Dr. Mike
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This new blood check can catch most cancers 10 years early


Human papilloma virus (HPV) is liable for about 70% of head and neck cancers in the US, making it the main HPV-related most cancers and one which continues to rise in frequency every year. Not like cervical most cancers, which could be detected by routine screening, there may be at present no check that may establish HPV-associated head and neck cancers earlier than signs develop. Because of this, most sufferers are recognized solely after the tumor has expanded to billions of cells, typically spreading to close by lymph nodes and inflicting noticeable signs. Discovering a method to detect these cancers a lot earlier might enable for immediate remedy and higher outcomes.

A brand new federally funded research printed within the Journal of the Nationwide Most cancers Institute by researchers at Mass Basic Brigham introduces a promising advance. The crew developed a liquid biopsy check known as HPV-DeepSeek, which may establish HPV-linked head and neck cancers as much as 10 years earlier than signs start. Detecting the illness this early might enhance the possibilities of profitable remedy and cut back the necessity for aggressive therapies, the researchers report.

“Our research reveals for the primary time that we will precisely detect HPV-associated cancers in asymptomatic people a few years earlier than they’re ever recognized with most cancers,” mentioned lead research creator Daniel L. Faden, MD, FACS, a head and neck surgical oncologist and principal investigator within the Mike Toth Head and Neck Most cancers Analysis Heart at Mass Eye and Ear, a member of the Mass Basic Brigham healthcare system. “By the point sufferers enter our clinics with signs from the most cancers, they require therapies that trigger important, life-long unwanted effects. We hope instruments like HPV-DeepSeek will enable us to catch these cancers at their very earliest levels, which in the end can enhance affected person outcomes and high quality of life.”

HPV-DeepSeek works through the use of whole-genome sequencing to establish hint fragments of HPV DNA which have separated from a tumor and entered the bloodstream. Earlier analysis from this crew confirmed that the check might attain 99% specificity and 99% sensitivity in detecting most cancers throughout its preliminary medical presentation, outperforming all present diagnostic strategies.

To discover whether or not HPV-DeepSeek might establish these cancers lengthy earlier than signs seem, the researchers analyzed 56 blood samples from the Mass Basic Brigham Biobank. The samples included 28 from individuals who later developed HPV-associated head and neck most cancers and 28 from wholesome people who served as controls.

HPV-DeepSeek detected HPV tumor DNA in 22 out of 28 blood samples from sufferers who later developed the most cancers, whereas all 28 management samples examined unfavourable, indicating that the check is extremely particular. The check was higher in a position to detect HPV DNA in blood samples that have been collected nearer to the time of the sufferers’ analysis, and the earliest optimistic outcome was for a blood pattern collected 7.8 years previous to analysis.

Utilizing machine studying, the researchers have been in a position to enhance the check’s energy in order that it precisely recognized 27 out of 28 most cancers instances, together with samples collected as much as 10 years previous to analysis.

The authors at the moment are validating these findings in a second blinded research funded by the Nationwide Institutes of Well being (NIH) utilizing lots of of samples collected as a part of the Prostate, Lung, Colorectal, and Ovarian Most cancers Screening Trial (PLCO) on the Nationwide Most cancers Institute.

NYT on the SAT — then and now

Dr. Mike
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NYT on the SAT — then and now


 2014

 

 

 

 2024

We’re undoubtedly in sizzling canine go well with meme territory right here. 

 

 The New York Occasions was very a lot on the forefront of this struggle in 2014,
and as you possibly can see, we have been there taking intensive notes. Apart from
their getting the mathematics incorrect on the penalties for guessing/not guessing
(so far as I do know, that continues to be uncorrected to at the present time), they’ve
just about come round to all of the arguments we have been making 11 years
in the past. That is nowhere higher illustrated than within the first-person
accounts they gave of two girls’s recollections of the SAT—one from 2014 annoyingly
entitled, the opposite from 2024 extremely inspiring.

This is not an entire listing of our SAT posts and even of our SAT/NYT posts, nevertheless it does provide you with a way of what the dialogue appeared like.  

 
Friday, March 14, 2014 

Orthogonality and the SAT 

Friday, March 21, 2014

Typically, the SAT you examine within the information does not look very similar to the precise SAT  

 

Monday, March 24, 2014

SAT winners and losers 

Wednesday, March 26, 2014 

The SAT and the penalty for NOT guessing  

 

Thursday, March 27, 2014

On SAT modifications, The New York Occasions will get the impact proper however the route incorrect  

 

Thursday, Might 15, 2014
The SAT in all probability is unfair to the deprived however not for the explanations you have been listening to 

 

 

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