In machine learning, bigger may not always be better. As the datasets and the machine learning models keep expanding, researchers are racing to build state-of-the-art benchmarks. However, larger models can be detrimental to the budget and the environment.
Over time, researchers have developed several ways to shrink the deep learning models while optimizing training datasets. In particular, three techniques–pruning, quantization, and transfer learning–have been instrumental in making models run faster and more accurately at lesser compute power.
In a 2019 study, Lottery Ticket Hypothesis, MIT researchers showed it was possible to remove a few unnecessary connections in neural networks and still achieve good or even better accuracy. Read More
Daily Archives: April 5, 2021
ACLU Files AI FOIA Request
The American Civil Liberties Union (ACLU) has filed a Freedom of Information Act (FOIA) request to find out how America’s national security and intelligence agencies are using artificial intelligence (AI).
The ACLU said it made the request out of concern that AI was being used in ways that could violate Americans’ civil rights.
The request follows the March 1 release of a 16-chapter report containing recommendations on how AI, machine learning, and associated technologies should be used by the Biden administration. Read More
Sofia Robot Has a Third Sister ! AGAIN
Deepfake “Amazon workers” are sowing confusion on Twitter. That’s not the problem.
The accounts are likely just parodies, not part of a sinister corporate strategy, but they illustrate the kind of thing that could happen someday.
The news: Ahead of a landmark vote that could lead to the formation of the first-ever labor union at a US-based Amazon warehouse, new Twitter accounts purporting to be Amazon employees started appearing. The profiles used deepfake photos as profile pictures and were tweeting some pretty laughable, over-the-top defenses of Amazon’s working practices. They didn’t seem real, but they still led to confusion among the public. Was Amazon really behind them? Was this some terrible new anti-union social media strategy? The answer is almost certainly not—but the use of deepfakes in this context points to a more concerning trend overall. Read More
Why A.I. knows who you find attractive better than you do
When it comes to earning social currency, being attractive is as good as gold.
A team of scientists from Finland has now designed a machine learning algorithm that can plumb the depths of these subjective judgments better than we can and can accurately predict who we find attractive via our unique brainwaves — and even generate a unique portrait that captures these qualities — with 83 percent accuracy.
Far beyond just the laws of attraction, this novel brain-computer interface (BCI) could push wide-open a new era of BCI that can bring our unvoiced desires to life.
The research was published this February in the journal IEEE Transactions on Affective Computing. Read More
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