M. Alex O. Vasilescu

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M. Alex O. Vasilescu

M. Alex O. Vasilescu

@AlexVasilescu

Developing a #causal #tensor framework: TensorFaces, Human Motion Signatures| @MIT & @UofT alumna| @UCLA Assoc Dir #ComputerVision & #Graphics Lab| TensorVision

Los Angeles and New York Katılım Ağustos 2020
757 Takip Edilen599 Takipçiler
M. Alex O. Vasilescu retweetledi
M. Alex O. Vasilescu
M. Alex O. Vasilescu@AlexTensor·
If your empathy gives you permission to silence dissent, create blacklists, assassinate careers, ruin lives, or kill concrete human beings, it is not empathy. It is cruelty with better PR. (The ends do not justify the means.)
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M. Alex O. Vasilescu
M. Alex O. Vasilescu@AlexTensor·
In every mature field, we do not ask whether a bridge intended to collapse, whether an aircraft wanted to crash, or whether a drug chose to be toxic. We ask: Were specs sound? Was testing adequate? Were risks disclosed? Was there negligence? #AI should be held to the same standard. Article: msn.com/en-us/news/us/… 2/2
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Gary Marcus
Gary Marcus@GaryMarcus·
Who is accountable? the latest from @marketoonist
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M. Alex O. Vasilescu
M. Alex O. Vasilescu@AlexTensor·
@GaryMarcus @marketoonist We need to firmly separate practical engineering and deployment failures from prophecies or debates about the “moral status” of statistical software.
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Jonathan @ICLR
Jonathan @ICLR@lightetal·
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M. Alex O. Vasilescu@AlexVasilescu·
@janfmVI Negative letters of recommendation are neutral letters that say nothing positive.
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M. Alex O. Vasilescu@AlexVasilescu·
One could argue that computer vision saved ML. Multilinear (Tensor) Independent Component Analysis "strongly influenced" the direction of research in deep learning, as mentioned in "Disentangling factors of variation via generative entangling", authored by the team led by Bengio.
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Peyman Milanfar
Peyman Milanfar@docmilanfar·
Machine Learning saved Computer Vision. Go back to 2012 and you’d see it trapped in useless niche problems with solutions that didn't generalize or replicate. Machine Learning didn't just rescue CV - it fundamentally transformed and propelled it into the forefront of AI.
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M. Alex O. Vasilescu
M. Alex O. Vasilescu@AlexTensor·
Mimicking emotional behaviors is not the same as having or experiencing emotions. It is concerning to see Hinton anthropomorphizing machines and promoting magical thinking. This is dangerous. It invites the public to misunderstand technical malfunctions as personality traits. It lets scientists off the hook and undermines accountability in #AI. #HumanEthics
vitrupo@vitrupo

Geoffrey Hinton says AI may already be developing emotions. “In terms of cognitive behavior, it could be just like us when it comes to emotions.” He collapses the line between real and simulated -- by defining feeling as learned behavior. If that's true, AI may already qualify as emotional.

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M. Alex O. Vasilescu
M. Alex O. Vasilescu@AlexTensor·
Tensor factor analysis pipeline
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M. Alex O. Vasilescu
M. Alex O. Vasilescu@AlexTensor·
In 1956, John McCarthy, Marvin Minsky (my @MIT_CSAIL academic advisor), N. Rochester, and Claude Shannon set out to precisely define learning and intelligence so that a machine could simulate them. They aimed to determine how a machine could use language, form abstractions and concepts, solve problems typically reserved for humans, and improve itself. John McCarthy, Marvin Minsky and Claude Shanon all became @MIT faculty. John McCarthy later on joined @Stanford.
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