avldigital, to Artificial German
@avldigital@openbiblio.social avatar

for the () 2025 convention "Thinking Beyond – Collective and/or Intelligence" which will take place in New Orleans on January 9-12, 2025.

🗓️Deadline for Abstracts: March 15, 2024

📌Further Information:
https://avldigital.de/de/vernetzen/details/callforpapers/mla-2025-thinking-beyond-brecht-collective-andor-artificial-intelligence-new-orleans/ Humanities @litstudies @germanistik

LouisIngenthron, to ai
@LouisIngenthron@qoto.org avatar

, specifically , is an incredible tool for upgrading code.

I fixed an architecture problem that resulted in over 700 warnings related to nullability in C#. I was able to clear all of those warnings properly with the help of AI in just a couple hours. Now my code base is far more robust and better at handling errors elegantly.

Shockingly, when you use a glorified pattern-matching algorithm to deal with a pattern-matching problem, you get good results. Who knew?

@freeschool@qoto.org avatar

@LouisIngenthron Does using the AI share your data / give it to people who provide the AI and their 3rd parties?

freeschool, to ai
@freeschool@qoto.org avatar

Gary Ackerman Podcast Show -
"Artificial Intelligence"

Audio Topic with @garyackerman / https://qoto.org/@garyackerman

Follow & click Bell 🔔 (after follow accepted) to get notified of similar.

KissAnne, to Artificial
@KissAnne@mastodon.social avatar

I got a runner's knee . I have the strongest possible in my left . It was chosen because the posterior cruciate ligament was torn, and the knee would not have stabilized without this model. On the left side, the tendons are now irritatedand and tight. The reason is the stiffness of the model. This artificial joint does not flex at all laterally. It's a strong but "dummy knee" said the physiotherapist. I need to rest, take Burana and go to the massage.

cdarwin, to Artificial
@cdarwin@c.im avatar

Before a drug is approved by the U.S. Food and Drug Administration (FDA), it must demonstrate both safety and efficacy.

However, the does not require an understanding a drug’s mechanism of action for approval.

This acceptance of results without explanation raises the question of whether the "" decision-making process of a safe and effective model must be fully explained in order to secure FDA approval.

This topic was one of many discussion points addressed on Monday, Dec. 4 during the 🔸"MIT Abdul Latif Jameel Clinic for Machine Learning in Health AI and Health Regulatory Policy Conference", 🔸which ignited a series of discussions and debates amongst faculty; regulators from the United States, EU, and Nigeria; and industry experts concerning the regulation of AI in health.

As continues to evolve rapidly, uncertainty persists as to whether regulators can keep up and still reduce the likelihood of harmful impact while ensuring that their respective countries remain competitive in innovation.

To promote an environment of frank and open discussion, the Jameel Clinic event’s attendance was highly curated for an audience of 100 attendees debating through the enforcement of the Chatham House Rule, to allow speakers anonymity for discussing controversial opinions and arguments without being identified as the source.

Rather than hosting an event to generate buzz around AI in health, the Jameel Clinic's goal was to create a space to keep regulators apprised of the most cutting-edge advancements in , while allowing faculty and industry experts to propose new or different approaches to frameworks for AI in , especially for AI use in settings and in .

AI’s role in medicine is more relevant than ever, as the industry struggles with a post-pandemic labor shortage, increased costs (“Not a salary issue, despite common belief,” said one speaker), as well as high rates of burnout and resignations among health care professionals.
One speaker suggested that priorities for clinical AI deployment should be focused more on operational rather than patient diagnosis and treatment.

One attendee pointed out a “clear lack of across all constituents — not just amongst developer communities and health care systems, but with patients and regulators as well.”
Given that medical doctors are often the primary users of clinical AI tools, a number of the medical doctors present pleaded with regulators to consult them before taking action.

was a key issue for the majority of AI researchers in attendance.
They lamented the lack of data to make their AI tools work effectively.
Many faced barriers such as intellectual property barring access or simply a dearth of large, high-quality datasets.
“Developers can’t spend billions creating data, but the FDA can,” a speaker pointed out during the event.
“There’s a price uncertainty that could lead to underinvestment in AI.”
Speakers from the EU touted the development of a system obligating governments to make health data available for AI researchers.


davej, to spiders
@davej@dice.camp avatar
amadeus, to ai
@amadeus@mstdn.social avatar

I sometimes use to double check my and think that the on how to integrate into an tool that my friends from came up with is very interesting to say the least. I would love to have something similar in on . https://ia.net/topics/ia-writer-7

analyticus, to ai

How real is the threat of data poisoning to generative AI?

A new tool has been created to poison image-output models like Midjourney and DALLE-2. Is ChatGPT next?


BeAware, to aiart

Let’s talk, an AI art rant.

Hi everyone, thanks for dropping in. Today we’re going to discuss something that is really important to me. A.I. art and copyright.

Now, as most of you know, I am a HUGE supporter and creator of A.I. art through the use of Midjourney and/or Stable Diffusion. I am not artistically or financially gifted so I can neither create or purchase man-made art. That […]



JustCodeCulture, to technology
@JustCodeCulture@mastodon.social avatar

CBI Image of the Day!

A young boy plays chess against a Control Data Corp computer program at a demonstration at the Palmer House in downtown Chicago, IL, 1979.



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