Illogical marketing slogans like “coldest beer in town” are fascinating.
If you take a moment to think about it, every mini mart and liquor store in town has to chill beer to the exact same temperature before it freezes, so no store will have colder beer than any other store. (For the specifics, including the effect of ABV on alcohol freezing temperature, see Oxbow Tavern’s blog post.)
But liquor store marketers know that we DON’T take a moment to think about it. When it’s hot and we want beer, we want the “coldest beer in town.”
Well, while it was hot this morning, and while the HK Food Store was open (unlike the C & M Classy Mart a couple of miles northwest), I opted NOT to get the coldest beer in town. I wasn’t carrying a beer bottle opener, and I didn’t feel like breaking the law by walking down Grove Avenue with a beer bottle hidden in a paper bag.
Yes, I’m stealing the Biometric Update practice of combining multiple items into a single post, but this lets me take a brief break from identity (mostly) and examine three general technology stories:
Advances in speech neuroprosthesis (the Pat Bennett / Stanford University story).
The benefits of Dynamic Media for Adobe Enterprise Manager users, as described by KBWEB Consult.
The benefits of graph databases for Identity and Access Management (IAM) implementations, as described by IndyKite.
Neuroprosthetics “is a discipline related to neuroscience and biomedical engineering concerned with developing neural prostheses, artificial devices to replace or improve the function of an impaired nervous system.
Various news sources highlighted the story of amyotrophic lateral sclerosis (ALS) patient Pat Bennett and her somewhat-enhanced ability to formulate words, resulting from research at Stanford University.
Because I was curious, I sought the Nature article that discussed the research in detail, “A high-performance speech neuroprosthesis.” The article describes a proof of concept of a speech brain-computer interface (BCI).
Here we demonstrate a speech-to-text BCI that records spiking activity from intracortical microelectrode arrays. Enabled by these high-resolution recordings, our study participant—who can no longer speak intelligibly owing to amyotrophic lateral sclerosis—achieved a 9.1% word error rate on a 50-word vocabulary (2.7 times fewer errors than the previous state-of-the-art speech BCI2) and a 23.8% word error rate on a 125,000-word vocabulary (the first successful demonstration, to our knowledge, of large-vocabulary decoding). Our participant’s attempted speech was decoded at 62 words per minute, which is 3.4 times as fast as the previous record8 and begins to approach the speed of natural conversation (160 words per minute9).
For Bennett, the (ALS) deterioration began not in her spinal cord, as is typical, but in her brain stem. She can still move around, dress herself and use her fingers to type, albeit with increasing difficulty. But she can no longer use the muscles of her lips, tongue, larynx and jaws to enunciate clearly the phonemes — or units of sound, such as sh — that are the building blocks of speech….
After four months, Bennett’s attempted utterances were being converted into words on a computer screen at 62 words per minute — more than three times as fast as the previous record for BCI-assisted communication.
Now let’s shift to companies that need to produce marketing collateral. Bredemarket produces collateral, but not to the scale that big companies need to produce. A single company may have to produce millions of pieces of collateral, each of which is specific to a particular product, in a particular region, for a particular audience/persona. Even Bredemarket could potentially produce all sorts of content, if it weren’t so difficult to do so:
An Instagram carousel post about the Bredemarket 400 Short Writing Service, targeted to voice sales executives in the identity industry.
A TikTok reel about the Bredemarket 400 Short Writing Service, targeted to marketing executives in the AI industry.
All of this specialized content, using all of these different image and video formats? I’m not gonna create all that.
But as KBWEB Consult (a boutique technology consulting firm specializing in the implementation and delivery of Adobe Enterprise Cloud technologies) points out in its article “Implementing Rapid Omnichannel Messaging with AEM Dynamic Media,” Adobe Experience Manager has tools to speed up this process and create correctly-messaged content in ALL the formats for ALL the audiences.
One of those tools is Dynamic Media.
AEM Dynamic Media accelerates omnichannel personalization, ensuring your business messages are presented quickly and in the proper formats. Starting with a master file, Dynamic Media quickly adjusts images and videos to satisfy varying asset specifications, contributing to increased content velocity.
A graph database, also referred to as a semantic database, is a software application designed to store, query and modify network graphs. A network graph is a visual construct that consists of nodes and edges. Each node represents an entity (such as a person) and each edge represents a connection or relationship between two nodes.
Graph databases have been around in some variation for along time. For example, a family tree is a very simple graph database….
Graph databases are well-suited for analyzing interconnections…
To see how this applies to identity and access management (IAM), I’ll turn to IndyKite, whose Lasse Andersen recently presented on graph database use in IAM (in a webinar sponsored by Strativ Group). IndyKite describes its solution as follows (in part):
A knowledge graph that holistically captures the identities of customers and IoT devices along with the rich relationships between them
A dynamic and real-time data model that unifies disconnected identity data and business metadata into one contextualized layer
Yes, I know that every identity company (with one exception) uses the word “trust,” and they all use the word “seamless.”
But this particular technology benefits banking customers (at least the honest ones) by using the available interconnections to provide all the essential information about the customer and the customer’s devices, in a way that does not inconvenience the customer. IndyKite claims “greater privacy and security,” along with flexibility for future expansion.
In other words, it increases velocity.
What is your technology story?
I hope you provided this quick overview of these three technology advances.
But do you have a technology story that YOU want to tell?
Perhaps Bredemarket, the technology content marketing expert, can help you select the words to tell your story. If you’re interested in talking, let me know.
MCLEAN, Va., May 2, 2023 /PRNewswire/ — The West Virginia University Research Corporation (WVURC) and Pangiam, a leading trade a travel technology company, announced a new partnership to conduct research and develop new, cutting-edge artificial intelligence, machine learning and computer vision technologies for commercial and government applications.
Pangiam and WVURC will work together to launch Pangiam Bridge, a cutting-edge artificial intelligence driven solution for customs authorities worldwide. Pangiam Bridge will allow customs officials to automate portions of the customs inspection process for baggage and cargo. Jim McLaughlin, Pangiam Chief Technology Officer, said, “we are excited to grow Pangiam’s artificial intelligence work in partnership with West Virginia University and continued development of Pangiam Bridge for customs authorities.”
Pangiam Bridge is obviously not ready for prime time yet; it’s not even mentioned on Pangiam’s Products and Services page, nor is it mentioned anywhere else on Pangiam’s website. The only mention of Pangiam Bridge is in this press release, which isn’t surprising considering that this is a research effort. But if the research holds out, then many of the manual processes used by customs agents may be significantly reduced or eliminated entirely.
Project DARTMOUTH is the collaboration between Pangiam and Google Cloud, named after the 1956 Dartmouth Summer Research Project on Artificial Intelligence. Project DARTMOUTH utilizes AI and pattern analysis technologies to digest and analyze vast amounts of data in real-time and identify potential prohibited items in carry-on baggage, checked baggage, airline cargo and shipments.
Companies always strive to obtain some sort of recognition. I tried to do the same for Bredemarket, but my effort got derailed into a common local Inland Empire joke.
Aware’s biometric blog recognition
So what recognition did I want to receive? The same recognition that noted biometric company Aware received in 2020.
The Best Biometrics Blogs from thousands of Biometrics blogs on the web using search and social metrics. Subscribe to these websites because they are actively working to educate, inspire, and empower their readers with frequent updates and high-quality information.
Not that I necessarily consider myself equal to Aware or some of the other noted companies on the current list, but as the self-acknowledged identity/biometric blog expert, with hundreds of identity posts over the last three years, I figured I had a shot of making the list. The benefit to me, of course, is that if I made the list, I had a better chance of securing identity blog post writing clients and other clients.
So far I haven’t made the biometric blogs list.
But I did make another list.
Which is somewhat problematic.
Ontario blogs? True.
You see, earlier this morning I received an email that stated the following.
I would like to personally congratulate you as your blog Bredemarket Blog has been selected by our panelist as one of the Top 45 Ontario Bloggers on the web.
I personally give you a high-five and want to thank you for your contribution to this world. This is the most comprehensive list of Top 45 Ontario Bloggers on the internet and I’m honored to have you as part of this!
We’d be grateful if you can help us spread the word by briefly mentioning about the Top 45 Ontario Bloggers list in any of your upcoming post.
Yup. The people who created the feed think that I’m in CANADA.
But if you think my listing is messed up, take a look at the number 1 listing, for the official news site for the Government of Ontario. This IS a Canadian website, as evidenced by its URL of https://news.ontario.ca/newsroom/en, and the fact that it discusses people like Doug Ford. But take a real close look at the logo at the left of the listing.
And our websites down here don’t offer French as one of the two main languages.
If you live in Canada, don’t read this section
But at least the Bredemarket blog is listed SOMEWHERE, because I help a lot of U.S. companies (sorry, no Canadian companies) create the words they need to drive awareness and eventually revenue. Services such as the Bredemarket 400 Short Writing Service let Bredemarket collaborate with you to create the text your firm needs.
If you are reading this on your laptop (or your desktop), point your smartphone to the QR code on your laptop (or desktop) screen to read my first e-book, “Six Questions Your Content Creator Should Ask You.”
(UPDATE OCTOBER 22, 2023: “SIX QUESTIONS YOUR CONTENT CREATOR SHOULD ASK YOU IS SO 2022. DOWNLOAD THE NEWER “SEVEN QUESTIONS YOUR CONTENT CREATOR SHOULD ASK YOU” HERE.)
As I said before, QR codes are sometimes useful, and sometimes not.
If you want to know the “why” about the e-book-see what I did there?-visit my announcement of the e-book. You can view the e-book there also.
By the way, I just checked my WordPress stats. Since this e-book was published in December 2022, it’s been downloaded over 160 times. I hope it’s helping people.
Gambling is becoming acceptable in more and more places.
When I was young, and even when I got older, the idea of locating a pro sports team in Las Vegas, Nevada was unthinkable. In the last few years, that has changed dramatically.
The Roblox “Robux” gambing lawsuit
Well, now that gambling for adults has become more and more acceptable (although adults in my home state of California still can’t gamble by phone), now attention is focusing on child gambling.
In a new class action lawsuit filed in the Northern District of California this week, two parents accuse Roblox of illegally facilitating child gambling.
While gambling is not allowed on the platform, which hosts millions of virtual games that cater to children and teens, the lawsuit points to third-party gambling sites that invite users to play blackjack, slots, roulette and other games of chance using Roblox’s in-game currency.
But the gambling sites’ terms of service prohibit underage gambling!
I’m not going to concentrate on Roblox here, but on the other defendants—the ones who actually operate the sites that allegedly allow child gambling.
The lawsuit specifically names RBXFlip, Bloxflip and RBLXWild as participants in “an illegal gambling operation that is preying on children nationwide.”
But according to Bloxflip’s Terms of Service, it’s impossible that children can be using the site, because the Terms of Service prohibit this.
By accessing Bloxflip or using the Services, you accept and agree to our website policies, including these Terms of Service, and you certify to us that (i) you are eighteen (18) years of age or older, and are at least the age of majority in your jurisdiction, (ii) you are not a resident of Washington, (iii) you have the legal capacity to enter into and agree to these Terms of Service, (iv) you are using the Services freely, voluntarily, willingly, and for your own personal enjoyment, and (v) you will only provide accurate and complete information to us and promptly update this information as necessary to maintain its accuracy and completeness.
However, stating a minimum age in your TOS is even less effective than other common age verification methods, such as
Asking your customer to check a box to say that they are over 18 years old.
Asking your customer to type in their birthday.
Requiring your customer to read a detailed description of IRA/401(k) funding strategies and the medical need for colonoscopies. (This would be more effective than the first two methods.)
A better way to verify and estimate ages
As more and more companies are realizing, however, there are other ways to measure customer ages, including a comparison of a live face with a government-issued identification card (driver’s license or passport), or the use of “age estimation” software to ensure that a 12 year old isn’t gambling. (And don’t forget that NIST will test age estimation software as part of its FATE testing.)
Even when the kids aren’t gambling legal currency.
(D)igital security engineers at the University of Wisconsin–Madison have found these systems are not quite as foolproof when it comes to a novel analog attack. They found that speaking through customized PVC pipes — the type found at most hardware stores — can trick machine learning algorithms that support automatic speaker identification systems.
The project began when the team began probing automatic speaker identification systems for weaknesses. When they spoke clearly, the models behaved as advertised. But when they spoke through their hands or talked into a box instead of speaking clearly, the models did not behave as expected.
(Shimaa) Ahmed investigated whether it was possible to alter the resonance, or specific frequency vibrations, of a voice to defeat the security system. Because her work began while she was stuck at home due to COVID-19, Ahmed began by speaking through paper towel tubes to test the idea. Later, after returning to the lab, the group hired Yash Wani, then an undergraduate and now a PhD student, to help modify PVC pipes at the UW Makerspace. Using various diameters of pipe purchased at a local hardware store, Ahmed, Yani and their team altered the length and diameter of the pipes until they could produce the same resonance as they voice they were attempting to imitate.
Eventually, the team developed an algorithm that can calculate the PVC pipe dimensions needed to transform the resonance of almost any voice to imitate another. In fact, the researchers successfully fooled the security systems with the PVC tube attack 60 percent of the time in a test set of 91 voices, while unaltered human impersonators were able to fool the systems only 6 percent of the time.
We evaluate two state-of-the-art ASI models: (1) the x-vector network [51] implemented by Shamsabadi et al. [45], and (2) the emphasized channel attention, propagation and aggregation time delay neural network (ECAPATDNN) [17], implemented by SpeechBrain.1 Both models were trained on VoxCeleb dataset [15, 36, 37], a benchmark dataset for ASI. The x-vector network is trained on 250 speakers using 8 kHz sampling rate. ECAPA-TDNN is trained on 7205 speakers using 16 kHz sampling rate. Both models report a test accuracy within 98-99%.
So what we know is that this test, which used these two ASI models trained on a particular dataset, demonstrated an ability to fool systems 60 percent of the time.
But…
What does this mean for other ASI algorithms, including the commercial algorithms in use today?
And what does it mean when other datasets are used?
In other words (and I’m adapting my own text here), how do the results of this study affect “current automatic speaker identification products”?
The answer is “We don’t know.”
So pipe down…until we actually test commercial algorithms for this technique.
But I’m sure that the UW-Madison researchers and I agree on one thing: more research is needed.
I and countless others have spent the last several years referring to the National Institute of Standards and Technology’s Face Recognition Vendor Test, or FRVT. I guess some people have spent almost a quarter century referring to FRVT, because the term has been in use since 1999.
Starting now, you’re not supposed to use the FRVT acronym any more.
To bring clarity to our testing scope and goals, what was formerly known as FRVT has been rebranded and split into FRTE (Face Recognition Technology Evaluation) and FATE (Face Analysis Technology Evaluation). Tracks that involve the processing and analysis of images will run under the FATE activity, and tracks that pertain to identity verification will run under FRTE. All existing participation and submission procedures remain unchanged.
The change actually makes sense, since tasks such as age estimation and presentation attack detection (liveness detection) do not directly relate to the identification of individuals.
Us old folks just have to get used to the change.
I just hope that the new “FATE” acronym doesn’t mean that some algorithms are destined to perform better than others.
Bredemarket 