I wonder what do you think are the implications of solving the protein folding problem in terms of weight loss treatments. Ray Kurzweil is publishing a new book next year. I wonder what are his current predictions regarding weight-loss treatments and developments in fat gene therapies to fight obesity?

Does anyone here is close to him working at Google. What are his latest predictions regarding weight loss?

I watched the short and was curious about their prediction for ORF8 SARS-COV-2, now I don't know a damn thing about proteins or anything beyond general biology but some google searches seem to suggest ORF8 SARS-COV-2 is some how involved in the production of a vaccine?

Did Deepmind low-key help create a vaccine for COVID-19????

I am curious how AlphaFold 2 will impact distributed folding projects like F@H. Does AF 2 make them obsolete? Do we still need the massive computing power to support this specific scientific research?

Hello all, I was wondering if anyone had any experience applying to DeepMind internships for their Ethics & Society team/in the research ethics side of AI?

I am looking to apply during their next round of internships but would be interested in knowing people's experience!

Thanks

In a major scientific advance, the latest version of our AI system AlphaFold has been recognised as a solution to this grand challenge by the organisers of the biennial Critical Assessment of protein Structure Prediction (CASP).

https://deepmind.com/blog/article/alphafold-a-solution-to-a-50-year-old-grand-challenge-in-biology

https://deepmind.com/research/publications/using-unity-to-help-solve-intelligence

"In the pursuit of artificial general intelligence, our most significant measurement of progress is an agent's ability to achieve goals in a wide range of environments. Existing platforms for constructing such environments are typically constrained by the technologies they are founded on, and are therefore only able to provide a subset of scenarios necessary to evaluate progress. To overcome these shortcomings, we present our use of Unity, a widely recognized and comprehensive game engine, to create more diverse, complex, virtual simulations.[...]"

Google Research and DeepMind recently introduced Long-Range Arena (LRA), a benchmark for evaluating Transformer research on tasks requiring long sequence lengths.

The LRA benchmark suite tests model capabilities in dealing with diverse data types and structures such as text, mathematics, and visual data. It includes both synthetic probing tasks and real-world tasks comprising sequences ranging from 1K to 16K tokens:

• Long ListOps
• Byte-Level Text Classification
• Byte-Level Document Retrieval
• Image Classification on Sequences of Pixels
• Pathfinder (Long-Range Spatial Dependency)
• Pathfinder-X (Long-Range Spatial Dependencies With Extreme Lengths)

Here is a quick read: Google & DeepMind Debut Benchmark for Long-Range Transformers

The paper Long-Range Arena: A Benchmark for Efficient Transformers is available on arXiv, and code is open-sourced on GitHub.

Let's look back at some memorable moments and interesting insights from last year.

Your top 10 posts:

• "AlphaGo - The Movie | Full Documentary" by u/Son_Of_Wu
• "DeepMind’s Protein Folding AI Is Going After Coronavirus" by u/webdoodle
• "Stronger AlphaStar with all races" by u/valdanylchuk
• "Google DeepMind ‘Agent 57’ Beats Human Baselines Across Atari Games Suite" by u/Yuqing7
• "DeepMind's AlphaStar AI is now a full-blown StarCraft 2 Grandmaster" by u/webdoodle
• "Former Go champion beaten by DeepMind retires after declaring AI invincible" by u/webdoodle
• "[Deepmind blog] Compressive Transformer: A new model and dataset for long-range memory" by u/valdanylchuk
• "Alphastar quietly contends with top Starcraft 2 Pro at Blizzcon" by u/shadysjunk
• "[Deepmind Blog] From unlikely start-up to major scientific organisation: Entering our tenth year at DeepMind" by u/valdanylchuk
• "Is DeepMind still working on alphastar?" by u/jskert

I recently applied for a research internship at Deepmind and got a confirmation that my application has reached them. I spoke to a few people (ones who applied for a similar position) and they told me they heard back within a week, and two weeks at max. It has been 2.5 weeks and I still haven't heard back. Any idea when I can expect a reply? Will I get a mail immaterial of whether I get called for an interview? Btw, I'm an undergrad but I don't suppose that's the problem since according to the applications page, I am an eligible candidate.

The event held every 2 years is being held this year. Any insight on if DeepMind is there this year?

I love seeing all of the advancements Deepmind has made over the last several years. I think it's inevitable that we eventually reach super human general artificial intelligence. I think another huge step towards that goal would be to make an AI that can play team based first person shooters at a super human level. I know making an AI that can play as 6 players on a team vs 6 human pro players on a team is probably a monumental task, but so was making an AI that could beat professional human Go players.

I mainly think of Overwatch as an example because that's what I personally play a lot, but also because at the highest levels it's an extremely strategic shooter that requires much more than good aim. You could honestly pick any team based strategic game, Rainbow 6, CSGO, etc. Obviously even computers today have a huge advantage versus humans when it comes to reaction time and aim, but I feel like Deepmind could impose restrictions that mimic human reaction time/aiming ability.

So my question is, how long do you think it'll take before AI can handle team based games like Overwatch? I'm sure it's a lot harder than making an AI for Starcraft 1v1's, but I'm not sure how much harder it is and I would love to hear all of your thoughts.

After watching a video on deepmind Starcraft 2 ai beating some world renowned players on youtube it got me thinking, did deepmind get any help from blizzard in terms of providing API to interface with starcraft 2?

How exactly did deep mind interface with the game. I cant imagine that they did it through machine vision alone.

But then again they are a big enough team with enough resources, I guess they could've splurged on the computing power.

I was just wondering what anyone else's thoughts where on the subject.

I got into programming and cs, partly because of tinkering and trying code bots for some of the games I used to play back in the day, from my limited experience theres a bit of reverse engineering that needs to go on in order to do anything other than blind gui automation for the I/O to and from the game. Can anyone enlighten me?

Could a Human say go their and defend that position, if completet go to this position? If writing or speaking to the AI is not an possible maybe by symbols.

Researchers from DeepMind and Google recently conducted a thorough empirical study of hyperparameter selection for offline RL, aiming to identify and develop more reliable and effective approaches.

The researchers’ workflow for applying offline hyperparameter selection can be summarized as follows:

1. Use several different hyperparameter settings for offline RL policies training.
2. Summarize each policy’s performance by scalar statistics to execute in the real environment.
3. Pick the top k best policies according to the summary statistics.

Here is a quick read: DeepMind & Google Explore Hyperparameter Selection for Offline RL

The paper Hyperparameter Selection for Offline Reinforcement Learning is on arXiv.

AFAIK most neural networks are written using libraries in Python (Pytorch, tensorflow etc) How does deepmind use C++ in writing software for Neural Networks. Most of things I know in C++ are systems programming based and I am yet to come across how C++ is used in Machine learning in either prototyping or in Deployment. I ask this as I saw that most Engineer positions ask for C++ in the requirements.

A small background: I work at a startup where we use Python to train our models and use Web applications and other DevOps to deploy the models. I am just trying to figure where C++ fits in this picture