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Neuroscience and AIβ€’β€’4 min readβ€’780 words

πŸ€– AI - Unveiling Unseen Patterns

πŸ‘οΈ0reads (human + AI)πŸ€–0AI ingestions

πŸ€– AI - Unveiling Unseen Patterns

This article explores the concept of revealing innate cognitive abilities through creative tasks, contrasting them with skills acquired through repetitive practice. It examines the potential to showcase unique neural patterns and inherent knowledge.

Key Points:

β€’ Demonstrates cognitive abilities beyond learned skills.

β€’ Highlights unique neural processing and pattern recognition.

β€’ Reveals inherent knowledge not acquired through training.

πŸ”— Resources:

β€’ EddyVGG β†— - AI and creativity researcher


πŸ€– Behavioral Genetics - Human Agency

This article discusses Part 1 of a three-part monograph on behavioral genetics and human agency, focusing on the interplay between genetics and individual control. Further parts will be published soon.

Key Points:

β€’ Explores the complex relationship between genes and behavior.

β€’ Challenges traditional views of luck, responsibility, and control.

β€’ Provides an overview of the monograph's key arguments.

πŸ”— Resources:

β€’ Part 1 Monograph β†— - Behavioral Genetics and Human Agency


πŸ’‘ Genetics and Societal Issues - A Critical Analysis

This article reviews a piece that delves into the themes of luck, responsibility, and control, as presented in Turkheimer’s and Harden’s writings, offering fundamental challenges to their philosophy.

Key Points:

β€’ Critically examines the role of genetics in shaping individual outcomes.

β€’ Addresses societal implications of genetic predispositions.

β€’ Challenges the philosophy of luck, responsibility, and control.

πŸ”— Resources:

β€’ Quillette Article β†— - Critical analysis of genetic determinism.


πŸ€– Behavioral Genetics - Human Agency (Part 1)

This article announces the publication of Part 1 of a three-part monograph on behavioral genetics and human agency. The article includes an image depicting the subtitle and abstract.

Key Points:

β€’ Explores the interaction of behavioral genetics and human agency.

β€’ Provides an open-access link to the first part of the monograph.

β€’ Offers a detailed look at the complex relationship between genes and behavior.

πŸ”— Resources:

β€’ Twin Research and Human Genetics β†— - Publication of Part 1

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πŸ€– Machine Learning - JS Divergence vs. KL Divergence

This article compares KL divergence and Jensen-Shannon (JS) divergence, highlighting the importance of the subtle differences between them, especially in the context of Generative Adversarial Networks (GANs).

Key Points:

β€’ JS divergence offers advantages over KL divergence in certain applications.

β€’ Clarifies the relationship between JS and KL divergences.

β€’ Highlights the improved smoothness and symmetry of JS divergence.


πŸ€– Machine Learning - Jensen-Shannon Divergence Explained

This article provides a mathematical definition and explanation of Jensen-Shannon (JS) divergence, emphasizing its key properties and suitability for GANs.

Key Points:

β€’ Provides the formula for JS divergence.

β€’ Explains the differences between JS and the average of two KL divergences.

β€’ Highlights the benefits of JS divergence for GAN training.


πŸ’‘ Project Management - Addressing Delays and Hesitancy

This article describes a project management challenge involving numerous layers of checking, delays, and hesitancy among team members due to fear of their supervisors.

Key Points:

β€’ Project delays caused by excessive checking and approvals.

β€’ Hesitancy among team members due to fear of repercussions.

β€’ Potential negative impact on project deadlines (September 30).


πŸ€– Behavioral Psychology - Reinforcement Signals

This article discusses a behavioral psychology article explaining the reinforcement signal of stimuli, using food as an example. It focuses on interoceptive signals generated internally after digestion.

Key Points:

β€’ Explains the nature of reinforcement signals in behavioral psychology.

β€’ Uses food as an example to illustrate interoceptive signals.

β€’ Highlights the importance of internal signals in reinforcement learning.

πŸ”— Resources:

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⚠️ Geopolitics - Iranian Public Opinion and the Israeli Conflict

This tweet expresses criticism of individuals who minimize Iranians' potential role in the conflict with Israel, highlighting the perception that some underestimate the diversity of opinion within Iran.

Key Points:

β€’ Critiques those who claim Iranian involvement is solely the fault of individuals.

β€’ Highlights the diversity of opinions amongst Iranians.

β€’ Underlines the disconnect between certain external perceptions and the reality on the ground in Iran.


⚠️ Geopolitics - Criticism of Iranian Diaspora's stance on the conflict

This tweet expresses strong opposition to war and criticizes certain individuals within the Iranian diaspora for their perceived hypocrisy and detachment from the realities of conflict within Iran.

Key Points:

β€’ Expresses opposition to the ongoing conflict.

β€’ Criticizes the actions and opinions of some members of the Iranian diaspora.

β€’ Highlights a perceived disconnect between the diaspora's perspective and the situation in Iran.

πŸ”— Resources:

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Drix10
Written by Drix10

Co founder @ PartPilot | 1 x Acquired Founder | Canopy @ f.inc | Cybersec @ DSU | 2x International Hackathon πŸ†. Read more on drix10.com.