Environmental Design Research Association Puns

Ancient Greek philosophers mused on nature and nurture and how they inform human behaviour, and social scientists continue this debate today. A new DeepMind scalable environment simulator takes a digital approach to the question, enabling the examination of environmental factors on AI agents.

The DeepMind Lab2D platform is designed to create “2D, layered, discrete ‘grid-world’ environments in which pieces akin to chess pieces move around.” It targets the specific needs of multi-agent deep reinforcement learning (RL) researchers, and has been open-sourced.

Here is a quick read: DeepMind Open-Sources Lab2D: Environmental Design for Multi-Agent RL Research

The paper DeepMind Lab2D is on arXiv, and the code is available on the project GitHub.

I am an undergrad researching safety design, specifically in the setting of a college campus, and am interested in broadening my understanding on the principles of CPTED and related concepts crucial for effective security design. Are there any studies or important resources I should consider when seeking to deepen my knowledge and understanding on the topic? If so, I would greatly appreciate any suggestions to guide my search.

AP News just ran an article titled "Jake’s mice: Searching for answers to the puzzle of autism" by Laura Ungar.

The article describes a lab using mouse models of autism derived from an autistic kid named Jake. The gene being explored (MYT1L) is reported to be involved in "one out of every 10,000 to 50,000 autism cases". Jake's parents are reported to be heavily involved in Autism Speaks.

Not only does the article propagate the disease model of autism and also centers the effects of autism on non-autistic adults rather than asking autistic folks, it also fails to mention how AS doesn't actually speak for autistic folks and is basically a eugenics program.

If anyone feels inclined, AP News can be contacted at support@apnews.com

i'm making a proposal to our HOA for installing an EV charger at our parking lot. So far, I have identified Chargepoint, EVGo and Blink. Are there additional providers that guys recommend?

Among these, it seemed like Chargepoint is the most well established company (EVGo sales support is so hard to reach) followed by Blink. When I called EVGo, the call went to a lady's house who had her tv playing in the background and she gave me a new number which turned out to be their driver support number.

Does anyone know if one company can handle all car manufacturers? I believe Tesla uses their own connectors so how does it work if i install a Chargepoint charger?

Also, appreciate any tips to convince HOA board. Some of the owners have already installed chargers at their garages so I'm pretty sure they will ask why we want to install at commonplace.

Hi everyone!

So I am interested in research into cognition for those who have been exposed to an environmental hazard (I am specifically interested in geological processes, such as volcanic eruptions, earthquakes, etc), but am also interested in hazards that would not have any legal ramifications (such as ground water contamination by a company or lead exposure, etc).

Is anyone working on this, or know somewhere who is?

Thanks!

Ancient Greek philosophers mused on nature and nurture and how they inform human behaviour, and social scientists continue this debate today. A new DeepMind scalable environment simulator takes a digital approach to the question, enabling the examination of environmental factors on AI agents.

The DeepMind Lab2D platform is designed to create “2D, layered, discrete ‘grid-world’ environments in which pieces akin to chess pieces move around.” It targets the specific needs of multi-agent deep reinforcement learning (RL) researchers, and has been open-sourced.

Here is a quick read: DeepMind Open-Sources Lab2D: Environmental Design for Multi-Agent RL Research

The paper DeepMind Lab2D is on arXiv, and the code is available on the project GitHub.

Ancient Greek philosophers mused on nature and nurture and how they inform human behaviour, and social scientists continue this debate today. A new DeepMind scalable environment simulator takes a digital approach to the question, enabling the examination of environmental factors on AI agents.

The DeepMind Lab2D platform is designed to create “2D, layered, discrete ‘grid-world’ environments in which pieces akin to chess pieces move around.” It targets the specific needs of multi-agent deep reinforcement learning (RL) researchers, and has been open-sourced.

Here is a quick read: DeepMind Open-Sources Lab2D: Environmental Design for Multi-Agent RL Research

The paper DeepMind Lab2D is on arXiv, and the code is available on the project GitHub.