Artificial intelligence (AI) is one of the fastest-growing markets in the world, with global revenues zooming from $3.22 billion in 2016 to an estimated $11.28 billion this year. AI sales are expected to more than double again by 2021, and rise to nearly $90 billion by 2025. Given that growth, it makes sense to invest in artificial intelligence stocks.
But you can’t just invest in the usual suspects. Those include the likes of Alphabet (GOOG), Microsoft (MSFT), IBM (IBM), Salesforce.com (CRM) and Nvidia (NVDA). Don’t get me wrong—those are all fine companies and some are solid investments (to varying degrees). But they’re not artificial intelligence stocks, per se; in other words, they’re large and diversified enough companies that AI is just one segment—albeit a fast-growing one—of what they do.
The purer artificial intelligence plays are less diversified, and highly levered to the AI boom. As the artificial intelligence industry has exploded in the last couple years, the following three stocks have all more than doubled the market. And all three are coming off of huge starts to 2019. Read More
Daily Archives: July 7, 2019
Weight Agnostic Neural Networks
Not all neural network architectures are created equal, some perform much better than others for certain tasks. But how important are the weight parameters of a neural network compared to its architecture? In this work, we question to what extent neural network architectures alone, without learning any weight parameters, can encode solutions for a given task. We propose a search method for neural network architectures that can already perform a task without any explicit weight training. To evaluate these networks, we populate the connections with a single shared weight parameter sampled from a uniform random distribution, and measure the expected performance. We demonstrate that our method can find minimal neural network architectures that can perform several reinforcement learning tasks without weight training. On supervised learning domain, we find architectures that can achieve much higher than chance accuracy on MNIST using random weights. Read More
Are Weights Really Important to Neural Networks?
Architecture and weights are two essential considerations for artificial neural networks. Architecture is akin to the innate human brain, and contains the neural network’s initial settings such as hyperparameters, layers, node connections (or wiring), etc. Weights meanwhile are the relative strength of the different connections between nodes after model training, which can be likened to a human brain that has learned for example how to multiply numbers or speak French.
As with the age-old “nature versus nurture” debate, AI researchers want to know whether architecture or weights play the main role in the performance of neural networks. In a blow to the “nurture” side, Google researchers have now demonstrated that a neural network which has not learned weights through training can still achieve satisfactory results in machine learning tasks. Read More
Blockchain and AI Bond, Explained
Artificial intelligence (AI) and blockchain are two of the most-talked-about technologies of the past 10 years, and their evolution has led to significant and promising innovations. The idea of combining them is particularly intriguing.
The profit potential for these two technologies is forecast to be in the billions for the foreseeable future. Gartner, a global technology research firm, estimates that the business value created by AI will near $3.9 trillion in 2022, while some anticipate the blockchain market will be worth roughly $23 billion by 2023.
The drivers behind this tremendous predicted growth are increased adoption, as well as the potential use cases that have been emerging across both sectors. AI, which is technically not a new technology, has taken on a prominent role in the tech world over the past two years. While we are still far from fully thinking machines, AI has been deployed in everything from marketing and sales to manufacturing and even health care. The technology has become a crucial part of most businesses’ plans moving forward. Read More
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