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We tend to think that the lowest point of entry for machine learning (ML) is on a Raspberry Pi, which it definitely is not. [EloquentArduino] has been pushing the limits to the low end of the scale, and managed to get a basic classification model running on the ATtiny85.

Using his experience of running ML models on an old Arduino Nano, he had created a generator that can export C code from a scikit-learn. He tried using this generator to compile a support-vector colour classifier for the ATtiny85, but ran into a problem with the Arduino ATtiny85 compiler not supporting a variadic function used by the generator. Fortunately he had already experimented with an alternative approach that uses a non-variadic function, so he was able to dust that off and get it working. The classifier accepts inputs from an RGB sensor to identify a set of objects by colour. The model ended up easily fitting into the capabilities of the diminutive ATtiny85, using only 41% of the available flash and 4% of the available ram.

Its important to note what [EloquentArduino] isnt doing here: running an artificial neural network. Theyre just too inefficient in terms of memory and computation time to fit on an ATtiny. But neural nets arent the only game in town, and if your task is classifying something based on a few inputs, like reading a gesture from accelerometer data, or naming a color from a color sensor, the approach here will serve you well. We wonder if this wouldnt be a good solution to the pesky problem of identifying bats by their calls.

We really like how approachable machine learning has become and if youre keen to give ML a go, have a look at the rest of the EloquentArduino blog, its a small goldmine.

Were getting more and more machine learning related hacks, like basic ML on an Arduino Uno, and Lego sortings using ML on a Raspberry Pi.

The rest is here:
Tiny Machine Learning On The Attiny85 - Hackaday

Suppose you are driving a hybrid car with a personalised Alexa prototype and happen to witness a road accident. Will your Alexa automatically stop the car to help the victim or call an ambulance? Probably,it would act according tothe algorithmprogrammed into itthat demands the users command.

But as a fellow traveller with Alexa, what would you do? If you areanempathetic human being, you would try to administer first aid and take the victim to a nearby hospital in your car. This empathy is what is missing in the machines, largely in the technocratic conquered education which parents are banking upon these days.

Tech-buddies

With the advancement of bots or robots teaching in our classrooms, theteachersof millennials are worried. Recently, a WhatsApp video of AI-teacher engaging class in one of the schools of Bengaluru went viral. Maybe in a decade or two, academic robots in our classrooms would teach mathematics. Or perhaps they will teach children the algorithmsthatbrings them to life and togetherthey can create another generation of tech-buddies.

I was informed by a friend that coding is taught atprimary level now which was indeed a surprise for me. Then what about other skills? Maybe life skills like swimming, cooking could also be taught by a combination of YouTube and personal robots. However, we have the edge over the machines in at least one area and thats basic human values. This is where human intervention cant be eliminated at all.

The values are not taught; rather they are ingrained at every phase of life by various people who we meet including parents, teachers, peers, and anyone around us alongside practising them. Say for example, how does one teach kids to care for the elderly at home?

Unless one feels the same emotional turmoilas the elderly before them as they are raised and apply the compassionate values, they wouldnt be motivated to take care of them.

The missing link in academia

The discussions on trans-disciplinary or interdisciplinary courses often put forward multiple subjects as well as unconventional subjects to study together. Like engineering and terracotta designs or literature and agriculture. However, the objection comes within academia citing a lack of career prospects.

We tend to forget the fact that the best mathematicians were also musicians and the best medicinal practitioners were botanists or farmers too. Interest in one subject might trigger gaining expertise in others and connect the discreet dots to create a completely new concept.

Life skills like agriculture, pottery, animal care, gardening, andhousing are essentialskills that have many benefits.Every rural person is equipped with these skills through surrounding experiences. Rather than in a classroom session, these learning takes place by seeing, interacting as well as making mistakes.

A friend who homeschooled both her kids had similar concerns. She was firmly against the formalised education which teaches a limited amount of information mostly based on memorisation taking out the natural interest of the child. Several such institutes are functioning to serve the same goals of lifelong learning. Such schools aiming at understanding human-nature, emotional wellbeing, artistic and critical thinking are fundamentally guided on the idea of learning in a fear-free environment.

When scrolling on the admissions page in these schools, I was surprised that the admissions for the 2021 academic year were already completed.This reflects the eagerness of many parents looking for such alternative education systems.

These analogies bring back the basic question of why education? If it is merely for technology-driven jobs, probably by the time your kids grow there wouldnt be many jobs as themachines would have snatched them.

Also, the country is moving towards a technology-driven economy and may not need many skilled labourers. Surely, a few post-millennials would survive in any condition if they are extremely smart and adoptive butthey may need to stop and reboot if theireducation has not prepared them for uncertainties to come.

(The writer is with Christ, Bengaluru)

Link:
Limits of machine learning - Deccan Herald

Dell's Latitude 9510 shakes up corporate laptops with 5G, machine learning, and thin bezels | PCWorld ');consent.ads.queue.push(function(){ try { IDG.GPT.addDisplayedAd("gpt-superstitial", "true"); $('#gpt-superstitial').responsiveAd({screenSize:'971 1115', scriptTags: []}); IDG.GPT.log("Creating ad: gpt-superstitial [971 1115]"); }catch (exception) {console.log("Error with IDG.GPT: " + exception);} }); This business workhorse has a lot to like.

Dell Latitude 9510 hands-on: The three best features

Dell's Latitude 9510 has three features we especially love: The integrated 5G, the Dell Optimizer Utility that tunes the laptop to your preferences, and the thin bezels around the huge display.

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The Dell Latitude 9510 is a new breed of corporate laptop. Inspired in part by the companys powerful and much-loved Dell XPS 15, its the first model in an ultra-premium business line packed with the best of the best, tuned for business users.

Announced January 2 and unveiled Monday at CES in Las Vegas, the Latitude 9510 weighs just 3.2 pounds and promises up to 30 hours of battery life.PCWorld had a chance to delve into the guts of the Latitude 9510, learning more about whats in it and how it was built. Here are the coolest things we saw:

The Dell Latitude 9510 is shown disassembled, with (top, left to right) the magnesium bottom panel, the aluminum display lid, and the internals; and (bottom) the array of ports, speaker chambers, keyboard, and other small parts.

The thin bezels around the 15.6-inch screen (see top of story) are the biggest hint that the Latitude 9510 took inspiration from its cousin, the XPS 15. Despite the size of the screen, the Latitude 9510 is amazingly compact. And yet, Dell managed to squeeze in a camera above the displaythanks to a teeny, tiny sliver of a module.

A closer look at the motherboard of the Dell Latitude 9510 shows the 52Wh battery and the areas around the periphery where Dell put the 5G antennas.

The Latitude 9510 is one of the first laptops weve seen with integrated 5G networking. The challenge of 5G in laptops is integrating all the antennas you need within a metal chassis thats decidedly radio-unfriendly.

Dell made some careful choices, arraying the antennas around the edges of the laptop and inserting plastic pieces strategically to improve reception. Two of the antennas, for instance, are placed underneath the plastic speaker components and plastic speaker grille.

The Dell Latitude 9510 incorporated plastic speaker panels to allow reception for the 5G antennas underneath.

Not ready for 5G? No worries. Dell also offers the Latitude 9510 with Wi-Fi 6, the latest wireless networking standard.

You are constantly asking your PC to do things for you, usually the same things, over and over. Dells Optimizer software, which debuts on the Latitude 9510, analyzes your usage patterns and tries to save you time with routine tasks.

For instance, the Express SignIn feature logs you in faster. The ExpressResponse feature learns which applications you fire up first and loads them faster for you. Express Charge watches your battery usage and will adjust settings to save bettery, or step in with faster charging when you need some juice, pronto. Intelligent Audio will try to block out background noise so you can videoconference with less distraction.

The Dell Latitude 9510s advanced features and great looks should elevate corporate laptops in performance as well as style.It will come in clamshell and 2-in-1 versions, and is due to ship March 26. Pricing is not yet available.

Melissa Riofrio spent her formative journalistic years reviewing some of the biggest iron at PCWorld--desktops, laptops, storage, printers. As PCWorld's Executive Editor she leads PCWorlds content direction and covers productivity laptops and Chromebooks.

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Dell's Latitude 9510 shakes up corporate laptops with 5G, machine learning, and thin bezels - PCWorld

Rodney Brooks (previously) is a distinguished computer scientist and roboticist (he's served as as head of MIT's Computer Science and Artificial Intelligence Laboratory and CTO of Irobot); two years ago, he published a list of "dated predictions" intended to cool down some of the hype about self-driving cars, machine learning, and robotics, hype that he viewed as dangerously gaseous.

Every year, Brooks revisits those predictions to see how he's doing (to "self certify the seriousness of my predictions"). This year's scorecard is characteristically curmudgeonly, and shows that Brooks's skepticism was well-warranted, revealing much of the enthusiasm for about AI to have been mere froth: "I had not predicted any big milestones for AI and machine learning for the current period, and indeed there were none achieved... [W]e have seen warnings that all the over-hype of machine and deep learning may lead to a new AI winter when those tens of thousands of jolly conference attendees will no longer have grants and contracts to pay for travel to and attendance at their fiestas"

Some of the predictions are awfully fun, too, like "The press, and researchers, generally mature beyond the so-called 'Turing Test' and Asimov's three laws as valid measures of progress in AI and ML" (predicted for 2022; last year's update was, "I wish, I really wish.").

Brooks is pretty bullish on the web for piercing hype-bubbles, noting that it provides "outlets... for non-journalists, perhaps practitioners in a scientific field, to write position papers that get widely referenced in social media... During 2019 we saw many, many well informed such position papers/blogposts. We have seen explanations on how machine learning has limitations on when it makes sense to be used and that it may not be a universal silver bullet."

Bruce Sterling's actually pretty comfortable with tech hype: "Ive come to see tech-hype as a sign of social health. Its kinda like being young and smitten by a lot of random pretty people, only, youre not gonna really have relationships with most of them, and also, the one you oughta marry and have children with, that is probably not the one who seems most fantastically hot and sexy. Also, if nothing at all seems fantastically hot and sexy, then you probably have a vitamin deficiency. Its all part of the marvelous pageant of life, ladies and gentlemen."

I made my predictions because at the time I saw an immense amount of hype about these three topics, and the general press and public drawing conclusions about all sorts of things they feared (e.g., truck driving jobs about to disappear, all manual labor of humans about to disappear) or desired (e.g., safe roads about to come into existence, a safe haven for humans on Mars about to start developing) being imminent. My predictions, with dates attached to them, were meant to slow down those expectations, and inject some reality into what I saw as irrational exuberance.

Predictions Scorecard, 2020 January 01 [Rodney Brooks]

(via Beyond the Beyond)

(Image: Gartner; Cryteria, CC-BY, modified)

The Boeing 737 Next Generation has a gnarly bug: on instrument approach to seven specific runways, the six cockpit display units used to guide the pilots to their landing go suddenly black and they remain black until the pilots choose a different runway to land on.

Every year, the AI Now Institute (previously) publishes a deep, thoughtful, important overview of where AI research is and the ethical gaps in AI's use, and makes a list of a dozen urgent recommendations for the industry, the research community, and regulators and governments.

Librecorps is a program based at the Rochester Institute for Technology's Free and Open Source Software (FOSS) initiative that works with UNICEF to connect students with NGOs for paid co-op placements where they build and maintain FOSS tools used by nonprofits.

Theres art software for beginners, and theres art software that packs in all the bells and whistles. Usually, the two are mutually exclusive, but Clip Studio Paint DEBUT is one of the rare exceptions: A platform for budding artists that dont put a ceiling on their options once theyve outgrown the fundamentals. Even if youve []

The mind is a powerful tool and, like any great tool, it can be easily misused. Mindfulness is a great buzzword to throw around, but how do we actually achieve it? Anyone can find a personal trainer for their body, but its not like there are brain trainers out there for hire. Or are []

Its hard to find a web-based profession or any profession, for that matter that doesnt require you to deal with PDFs. Theyre universally recognized, theyre used for tons of official documents, and theyre stubbornly resistant to editing. Thats by design, of course. But technology always finds a workaround. And if youve got a []

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AI, machine learning, and other frothy tech subjects remained overhyped in 2019 - Boing Boing

BOSTON & SAN FRANCISCO--(BUSINESS WIRE)--Pear Therapeutics, Inc., the leader in Prescription Digital Therapeutics (PDTs), announced today that it has entered into agreements with multiple technology innovators, including Firsthand Technology, Inc., leading researchers from the Karolinska Institute in Sweden, Cincinnati Childrens Hospital Medical Center, Winterlight Labs, Inc., and NeuroLex Laboratories, Inc. These new agreements continue to bolster Pears PDT platform, by adding to its library of digital biomarkers, machine learning algorithms, and digital therapeutics.

Pears investment in these cutting-edge technologies further supports its strategy to create the broadest and deepest toolset for the development of PDTs that redefine standard of care in a range of therapeutic areas. With access to these new technologies, Pear is positioned to develop PDTs in new disease areas, while leveraging machine learning to personalize and improve its existing PDTs.

We are excited to announce these agreements, which expand the leading PDT platform, said Corey McCann, M.D., Ph.D., President and CEO of Pear. "Accessing external technologies allows us to continue to broaden the scope and efficacy of PDTs.

The field of digital health is evolving rapidly, and PDTs are going to increasingly play a big part because they are designed to allow doctors to treat disease in combination with drug products more effectively than with drugs alone, said Alex Pentland, Ph.D., a leading expert in voice analytics and MIT Professor. For PDTs to make their mark in healthcare, they will need to continually evolve. Machine learning and voice biomarker algorithms are key to guide that evolution and personalization.

About Pear Therapeutics

Pear Therapeutics, Inc. is the leader in prescription digital therapeutics. We aim to redefine medicine by discovering, developing, and delivering clinically validated software-based therapeutics to provide better outcomes for patients, smarter engagement and tracking tools for clinicians, and cost-effective solutions for payers. Pear has a pipeline of products and product candidates across therapeutic areas, including severe psychiatric and neurological conditions. Our lead product, reSET, for the treatment of Substance Use Disorder, was the first prescription digital therapeutic to receive marketing authorization from the FDA to treat disease. Pears second product, reSET-O, for the treatment of Opioid Use Disorder, received marketing authorization from the FDA in December 2018. For more information, visit us at http://www.peartherapeutics.com.

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4. Ljtsson B, Andersson G, Andersson E, Hedman E, Lindfors P, Andrewitch S, Rck C, Lindefors N. Acceptability, effectiveness, and cost-effectiveness of internet-based exposure treatment for irritable bowel syndrome in a clinical sample: a randomized controlled trial. BMC Gastroenterol. 2011;11(1):110. PMID:21992655

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Pear Therapeutics Expands Pipeline with Machine Learning, Digital Therapeutic and Digital Biomarker Technologies - Business Wire