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JOURNAL CLUB:


THE LATEST ACADEMIC RESEARCH, EXPLAINED IN PLAIN ENGLISH.

Journal Club is a premium daily newsletter and podcast authored and hosted by
Malcolm Diggs. Each episode is lovingly crafted by hand, and delivered to your
inbox every morning in text and audio form.


Join the Club Listen to Samples
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FREE SAMPLES

(A FEW PREVIOUS EPISODES)


A LOW-COST DEEP-LEARNING-BASED SYSTEM FOR GRADING CASHEW NUTS

In Computer Science we don't talk about cashews very often, but maybe we should.
A team of researchers in Vietnam just trained a computer-vision classifier on
top of YoloV8 that can grade cashew nuts as they're coming down a conveyor belt.
It can perform the grading in milliseconds, with less than a 3% error rate,
running entirely on cheap off-the-shelf components. Impressive!..

0:00 0:00




TCP STRATOS FOR STRATOSPHERE BASED COMPUTING PLATFORMS

A few companies are planing on putting their datacenters in the stratosphere.
Yes, the stratosphere! Their theory is that the sheer amount of free cooling
would justify the costs and headache. For a moment let's put aside how they're
going to get the machines all the way up there, and then let's put aside how
they're going to keep them afloat. There's still one big problem: TCP isn't
going to work very well in the stratosphere. Not well at all. That's according
to a new study in which the researchers are proposing an alternative new variant
of TCP for use exclusively in the stratosphere. They're calling TCP Stratos...

0:00 0:00




INFERRING TRAJECTORIES OF PSYCHOTIC DISORDERS USING DYNAMIC CAUSAL MODELING

The field of Psychiatry doesn't always lend itself well to data-science. The
field of Computational Psychiatry, on the other hand, thinks we can do better.
In this new study, researchers built a proof-of-concept model that should be
able to take a new patient (who is admitted for depression, mania or psychosis),
review their history, and then project forward the ultimate progression and
possible treatment of their condition. Far fetched? Let's dive in and find
out...

0:00 0:00




THE NEXT EPISODE

(SNEAK PREVIEW)


THE NEXT ISSUE OF THIS NEWSLETTER WILL BE SENT OUT AT 6:00 AM (PT).

If you don't sign up before the release time, you'll miss that episode forever.
There is no archive, you only get access to the issues that are released while
your membership is active.

 * 12

 * HOURS

 * 36

 * MINUTES

 * 19

 * SECONDS


THE TOPICS WE COVER


MACHINE LEARNING (A.I.)

We'll keep you up to date on the latest training and implementation techniques
within Machine Learning, Computer Vision, Expert Systems, Natural Language
Processing, Robotics, Autonomous Driving, and all forms of applied AI.


COMPUTE INFRASTRUCTURE

As the hyper-scalers grow and evolve, so do their compute offerings. As new
chips and materials are developed, new types of computing become possible.


PROGRAMMING LANGUAGE EVOLUTION

Whether it's the latest GPGPU programming experiments, new dev-tools for Rust,
or new packages for Python, we keep up with the latest in programming language
evolution.


DISTRIBUTED SYSTEMS

From farm equipment to satellites, the world is increasingly comprised of
interconnected distributed systems. We analyze and explore many of them.


ALGORITHMIC ADVANCEMENTS

The sea of algorithms only seems to get wider and deeper. Whether it's new algos
for hashing, search, bin packing, or anything else: we'll keep you up-to-date on
the latest and greatest.


NEW DATA STORES AND STRUCTURES

The ways we can store and retrieve our data are changing all the time: Just in
the past few years CRDTs, vector databases, streaming queues, novel blockchain
storage engines, and realtime dbs have changed the way applications are built.


NEW PROGRAMMING PARADIGMS

The best-practices for application development are in constant upheaval:
Recently durable-execution environments, quantum computing, serverless state
machines, reactive systems, gRPC clusters, and multi-cloud environments have
shook things up.


SECURITY IMPROVEMENTS

It's never been more difficult or more complex to secure an application. The
rash of recent breaches and leaks affirm this fact. As applications get more
complex, their attack surface only grows. We'll help you keep track of the
latest best practices in securing your stack.


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FREQUENTLY ASKED QUESTIONS


HOW DOES THIS WORK EXACTLY?

We create a new issue of our newsletter (in text and audio form) every morning,
and email it to all our current members. Every issue is a breakdown of a recent
academic research paper from a peer-reviewed journal. We try to pick the most
interesting/impactful article each day. When an issue arrives in your inbox you
can read our breakdown from that email, or you can click the provided link to
listen to the audio version (narrated by Malcolm). We'll also provide the link
for you to download the original paper in PDF. If you scroll up on this page
you'll be able to listen to some free samples to get a feel for the episodes.


IF I SIGNUP, CAN I ACCESS OLD EPISODES?

Absolutely! Just go to the Episode Archive and follow the instructions to have
any episode resent to you via email.


HOW LONG IS EACH EPISODE?

Anywhere from 5-15 minutes from beginning to end. Or 750-2500 words for the
written version. It depends on the paper.


WHERE CAN I FIND THE PDFS OF THE ACTUAL JOURNAL ARTICLES?

Every issue provides the direct link to the download page for the article being
discussed (the DOI url).


HOW DO YOU CHOOSE YOUR ARTICLES?

Every day we browse DOAJ and other article databases for new manuscripts. We
manually sift through them until we find something interesting. If an article
makes it to the "interesting" pile, then we'll read and scrutinize it, and try
to determine if it's the kind of paper that would make a good episode. Some are
good candidates, but most aren't. Eventually we find the winner-of-the-day and
manually write, record and edit the episode.


DO YOU USE ARTIFICIAL INTELLIGENCE (AI) TO CREATE THESE ISSUES/EPISODES?

Nope, everything is made the hard way: manually, by hand. By the nature of our
content, you can probably guess that we're not opposed to AI or technological
advancements. But, they're not good at everything. As of this writing, it's our
position that Large Language Models (LLMs), CNNs and all other Expert Systems
are still really bad at making sense of novel information (information that
doesn't comport with the system's prior understanding of the world). By its
nature, academic research is always novel. So its exactly the kind of content
that LLMs (and others) would have trouble grappling with. Generally speaking, we
believe in using AI when it can do a job objectively better than a human can.
But at this point that's still not the case. A human expert reviewing a research
paper and delving into the nuance and implications of that research still (in
our opinion) vastly outperforms AI at the same task. Maybe that will change, but
until it does, we'll be making these episodes the old fashioned way.

Also, AI voice synthesis (text-to-speech) is almost there, but still not quite.
The voices sound nice for demos, but when you're explaining a complex topic
we've found that a human narrator will naturally emphasize certain words in a
way that TTS can't do yet.


I'M AN AUTHOR, WILL YOU REVIEW MY PAPER FOR AN EPISODE?

We're happy to take a look at it, but we can't guarantee we'll make an episode
out of it. Just email: authors@journalclub.io and please include the DOI. Please
note: we're not making episodes about pre-prints or whitepapers at this time.
And we can only make episodes about Open-Access (cc-by) papers published in
peer-reviewed journals.


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We're using Stripe Checkout. So, it'll accept cards and a few other
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Sure just email malcolm@journalclub.io and we'll email you back a Paypal
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DO YOU OFFER REFUNDS?

Yes of course. If you're not happy, let us know in the first 30 days and you'll
get a full refund. Partial (prorated) refunds are available after that. Our full
refund policy is here.


I'M AN ADVERTISER, CAN I PROMOTE MY PRODUCTS TO YOUR MAILING LIST?

No.


CAN WE BUY THE NAMES/ADDRESSES ON YOUR EMAIL LIST?

No.


MY QUESTION ISN'T ANSWERED IN THIS LIST.

Shoot us an email: malcolm@journalclub.io

Journal Club is a premium daily newsletter and podcast authored and hosted by
Malcolm Diggs. Each episode is lovingly crafted by hand, and delivered to your
inbox every morning in text and audio form.

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