"Mathematician: An individual willing to assume anything but responsibility."- Theodore von Kármán
tag > ML
-
-
Back in 2016, i gave a talk at "The Conference" in Malmö, Sweden. Just found out that @PeterLubeck made this neat drawing about the talk back then.
-
The draft EU AI Regulation was leaked today - was asked to comment on this for a CNBC piece
#Comment: In the global race for A.I talent and capabilities, the EU is today clearly far behind China and the US. I find it rather difficult to understand how the introduction of highly complex, highbrow AI regulations in a niche market, will have any real impact on the development of "AI" globally. Further, i wonder how the EU's plans can be practically enforced, given that they constantly and catastrophically fail to regulate far "simpler" things, such as finance or tech-giants. Finally, i wonder why they choose to regulate an abstract concept such as "AI" instead of an applied technology like "machine learning" or it's specific applications? As the famous mathematician Paul Dirac once said "There are two main problems in A.I: What is A and what is I". Or as Edsger Dijkstra, one of Europe's greatest computer scientists, once said: "Computer science is no more about computers than astronomy is about telescopes".
-
"There are two main problems in A.I: What is A and what is I" - Paul Dirac
-
Untold History of AI: The DARPA Dreamer Who Aimed for Cyborg Intelligence - J.C.R. Licklider’s proposals for “man-machine symbiosis” led to the invention of the Internet
"A monopoly on the means of communication may define a ruling elite more precisely than the celebrated Marxian formula of monopoly in the means of production." - Robert Anton Wilson
#Technology #Augmentation #Robot #ML #History #Politics #Economics #Philosophy
-
A graphic i made a long time ago, illustrating a fun but fundamentally flawed idea: A interactive generative mental experience state-change model
-
"The Entire Universe is Prefused with Signs, If It Is Not Composed Exclusively of Signs." - Charles Peirce
-
Neural Network of Weakly Coupled Nonlinear Oscillators
- A Neural Network of Weakly Coupled Nonlinear Oscillators with a Global, Time-Dependent Coupling - Theory and Experiment
- A Nanotechnology-Ready Computing Scheme based on a Weakly Coupled Oscillator Network
- Information Processing with Dynamically Coupled Oscillators
- Synchronization in complex oscillator networks and smart grids
- Exotic states in a simple network of nanoelectromechanical oscillators
- Kuramoto model
-
Did Myanmar’s military deepfake a minister’s corruption confession? (KrAsia)
Phyo Min Thein, the former chief minister of the Yangon region, appeared on a television network operated by the Myanmar military. He said he offered bribes to Aung San Suu Kyi, the former State Counsellor of Myanmar. But viewers who know the minister said his voice didn’t sound right, and the video quality was craggy, fueling speculation that the clip was generated using deepfake tools.
-
Brain-computer interface for generating personally attractive images (Paper)
Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive. The device demonstrated this knowledge by its ability to create new portraits on its own that were tailored to be found personally attractive to individuals. The results can be utilized, for example, in modelling preferences and decision-making as well as potentially identifying unconscious attitudes. Videos: Paper Overview, Paper Explained
-
Get your animal microchipped today! It is mandatory.
#FFHCI #Military #Biotech #ML #Augmentation #Biology #Politics
-
Robust Soldier Crab Ball Gate - A study that shows how swarm behaviors can be Turing complete
“Soldier crabs Mictyris guinotae exhibit pronounced swarming behaviour. The swarms of the crabs tolerant of perturbations. In computer models and laboratory experiments we demonstrate that swarms of soldier crabs can implement logical gates when placed in a geometrically constrained environment.”
-
This paper from CVPR 2021 focuses on the unsupervised learning problem of playable video generation (PVG) where it allows the user to control the generated video by selecting an action when playing a video game.
-
Jointly learning video, audio, text to recall digital memories (facebook AI)
"Smartphone cameras have made it simple to take photos and videos on the fly. In the future, wearables such as AR glasses will make it even easier to capture things — hands free. As this becomes the norm, people should be able to recall specific moments from their vast bank of digital memories just as easy as they capture them. It’ll be valuable to build smarter AI systems that can understand what’s happening in videos on a more granular level."
-
Im2Vec: Synthesizing Vector Graphics without Vector Supervision
Machine learning will soon surpass hand-engineered image vectorization methods (which are already quite good), but will allow us to more interesting things with the learned representations
