Google’s Artificial Intelligence Built an AI That Outperforms Any Made by Humans


Google’s Artificial Intelligence Built an AI That Outperforms Any Made by Humans

tl;dr

Google’s AutoML project, designed to make AI build other AIs, has now developed a computer vision system that vastly outperforms state-of-the-art-models. The project could improve how autonomous vehicles and next-generation AI robots “see.”

An AI That Can Build AI

n May 2017, researchers at Google Brain announced the creation of AutoML, an artificial intelligence (AI) that’s capable of generating its own AIs. More recently, they decided to present AutoML with its biggest challenge to date, and the AI that can build AI created a “child” that outperformed all of its human-made counterparts.

The Google researchers automated the design of machine learning models using an approach called reinforcement learning. AutoML acts as a controller neural network that develops a child AI network for a specific task. For this particular child AI, which the researchers called NASNet, the task was recognizing objects — people, cars, traffic lights, handbags, backpacks, etc. — in a video in real-time.

AutoML would evaluate NASNet’s performance and use that information to improve its child AI, repeating the process thousands of times. When tested on the ImageNet image classification and COCO object detection data sets, which the Google researchers call “two of the most respected large-scale academic data sets in computer vision,” NASNet outperformed all other computer vision systems.

According to the researchers, NASNet was 82.7 percent accurate at predicting images on ImageNet’s validation set. This is 1.2 percent better than any previously published results, and the system is also 4 percent more efficient, with a 43.1 percent mean Average Precision (mAP). Additionally, a less computationally demanding version of NASNet outperformed the best similarly sized models for mobile platforms by 3.1 percent.

A View of the Future

Machine learning is what gives many AI systems their ability to perform specific tasks. Although the concept behind it is fairly simple — an algorithm learns by being fed a ton of data — the process requires a huge amount of time and effort. By automating the process of creating accurate, efficient AI systems, an AI that can build AI takes on the brunt of that work. Ultimately, that means AutoML could open up the field of machine learning and AI to non-experts.

As for NASNet specifically, accurate, efficient computer vision algorithms are highly sought after due to the number of potential applications. They could be used to create sophisticated, AI-powered robots or to help visually impaired people regain sight, as one researcher suggested. They could also help designers improve self-driving vehicle technologies. The faster an autonomous vehicle can recognize objects in its path, the faster it can react to them, thereby increasing the safety of such vehicles.

The Google researchers acknowledge that NASNet could prove useful for a wide range of applications and have open-sourced the AI for inference on image classification and object detection. “We hope that the larger machine learning community will be able to build on these models to address multitudes of computer vision problems we have not yet imagined,” they wrote in their blog post.

Though the applications for NASNet and AutoML are plentiful, the creation of an AI that can build AI does raise some concerns. For instance, what’s to prevent the parent from passing down unwanted biases to its child? What if AutoML creates systems so fast that society can’t keep up? It’s not very difficult to see how NASNet could be employed in automated surveillance systems in the near future, perhaps sooner than regulations could be put in place to control such systems.

Thankfully, world leaders are working fast to ensure such systems don’t lead to any sort of dystopian future.

Amazon, Facebook, Apple, and several others are all members of the Partnership on AI to Benefit People and Society, an organization focused on the responsible development of AI. The Institute of Electrical and Electronics Engineers (IEE) has proposed ethical standards for AI, and DeepMind, a research company owned by Google’s parent company Alphabet, recently announced the creation of group focused on the moral and ethical implications of AI.

Various governments are also working on regulations to prevent the use of AI for dangerous purposes, such as autonomous weapons, and so long as humans maintain control of the overall direction of AI development, the benefits of having an AI that can build AI should far outweigh any potential pitfalls.

Futurism
AutoML
Deepmind



5 Likes

A big reason i am avoiding singularity AI coin. Carazy.

3 Likes


:grin:

4 Likes

The Singularity is coming.

4 Likes

Like it ot not. This is coming.
We need to learn to live with them.

2 Likes

inevitably :slight_smile:

But it is a very interesting topic imo, this can change our whole lives in the future

3 Likes

Robots lives matter.

Haha sorry its justbthe way you phrased it. Yes, the way someone wants it to be is irrelevant to the way it actually is.

4 Likes

It is creepy I know…
It looks like we will not know what AI will do (we will be dumb to understand what they are up to).
Invest in singularitynet to destruct your species :smiley:

3 Likes

I think singularity will be crushed by the industry leaders honestly.

4 Likes

yea, google and deepmind a way ahead and have almost unlimited resources. We only know what they made public, who knows what they already did and kept secret :alien:

1 Like

Dont forget amazon alexa. These are consumer mainstream ai. If I were looking to invest in AI it would be them or on comoanies fighting for military contracts with AI

3 Likes

oh your right. The best thing is, they sell those things and let them be “trained” by the consumers.

Genius :vitalik:

2 Likes

Yes on both accounts.

I would never invest in something thag would have to take on google, let alone google and amazon. On the flipside if those invested in singularity do outpace them, they are in for homerun gains but its a gamble.

I find myself looking for the blue ocean instead of competing with industry giants.

Think back to 2008 when ironman came out. Everyone wanted a jarvis. Google and amazon are making that happen. Eventually they will clean etc and become walking beings but thats a ways away as it will be too expensive.

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like 10 years ago we had shitty phones and now ai is creating ai. im scared and intrigued.

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There is a great movie “Her”, about AI that is learning faster than humans :slight_smile:

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oh, didn´t know that one! Looks interesting!

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