What does it look like inside the mind of a machine? Inspired by the architectural vision of a futuristic Los Angeles in “Blade Runner,” media artist Refik Anadol melds art with artificial intelligence in his studio’s collaborations with architects, data scientists, neuroscientists, musicians and more. Witness otherworldly installations that might make you rethink the future of tech and creativity.
Artificial General Intelligence – AGI might be the last invention of mankind. For better or for worse. Artificial intelligence is very beneficial to society in today’s age. AI will probably continue to be beneficial in the coming decades. However, as intelligent machines continue to improve, with the development of a true AGI or artificial general intelligence, there might be a serious threat to humanity. This issue is known as the AI control problem or the AI alignment problem. The risks involved in the process of improving intelligent systems might be intrinsic to intelligent machines that are goal-oriented. Today’s AI are known as narrow AI. They are able to beat humans in specifics tasks like chess but the same AI can not beat humans across multiple domains. At least not yet. A true artificial general intelligence might be able to solve some of the deepest secrets of nature. It might run simulations and come up with new mathematical equations and models to solve seemingly unsolvable problems in science. Such an intelligent machine might be able to cure any disease and create a wealth of sorts we’ve only seen in science fiction. It is difficult for many people to take the AI control problem seriously. Not just for the general public but also for researchers and some computer scientists who are themselves involved in the creation of tomorrow’s AI. The skeptics for this thesis do not bring forth any compelling argument why we shouldn’t be concerned about AI. To say AGI is far into the future and therefore we shouldn’t worry is a non sequitur. However long it takes to create true artificial general intelligence, if we do not destroy ourselves and continue to improve our machines, the day we will stand in the presence of an AGI will come sooner than we realize. Hopefully we will be ready.
Artificial General Intelligence or short AGI was commonly referred as Strong AI. The continues advancements in robotics are also spurring the development of AGI. Currently we only have narrow AI or weak AI. But robots are paving the way for strong AI. In the future, robots might possibly become smarter than us or at least, reach human level intelligence. The field of robotics has seen many improvements over the years, as artificial intelligence systems continue to get better. Machine intelligence is a trendy topic among computer scientists and other relevant researchers on the field. As robots continue to get better, concerns for the rise of a superintelligence or an artificial general intelligence that could have different goals from ours, is increasingly getting the attention of computer scientists and lay people alike. We have often seen works of science fiction where robots and AGI have malicious intent. However, things could go really bad fur us even if initially these intelligent machines are programmed to obey human orders and follow our values. As a machine continues to improve itself by modifying it’s own source code, it could lead to an intelligence explosion. A point of time often referred as a technological singularity. Where it becomes hard if not impossible to predict future trajectories of the AI in question. As of the year 2017, there are over 40 organizations focused on the development of AGI. As we’ve said many times before, today’s AI is narrow. However the field of robotics is accelerating the rise of AGI and we will possibly witness a truly general AI in our lifetimes.
The unique infrastructure of the Fetch.ai network will optimize the world we live in. In this video we explain the real-world benefits our innovative technology will introduce.
Fetch.ai is a world-changing project, a “decentralized digital world” where autonomous software agents act on the behalf of their owners, or themselves, to get useful economic work done.
We are a dynamic, fast-growing international team of experts and forward-thinking technology enthusiasts working on the convergence of blockchain, AI and multi-agent systems. We are building technology for both today and tomorrow – a collective super-intelligence on top of decentralized economic internet built with a highly scalable next-generation distributed ledger technology. Combined with machine learning, this delivers the predictions and infrastructure to power the future economy.
Developing fascinating and promising new technology, we have a team of top class software engineers and researchers working across multiple fields (multi agent systems, machine learning, economics, cryptography).
To further improve our solutions and deploy them in real life scenarios, we also collaborate with top academics and corporate partners across the world .
We believe our technology will improve how we communicate, it will give voice and new opportunities to people, organizations and the Internet of Things, effectively democratizing the space and improving lives of citizens.
This episode helps you compare deep learning vs. machine learning. You’ll learn how the two concepts compare and how they fit into the broader category of artificial intelligence. During this demo we will also describes how deep learning can be applied to real-world scenarios such as fraud detection, voice and facial recognition, sentiment analytics, and time series forecasting.
The dawn of a Superintelligence or the process of the creation of artificial general intelligence has often been described as a digital metamorphosis. By seeking better and cheaper technology, we are inevitably fueling the process that will eventually give rise to a superintelligence or AGI. Computer scientists have pointed out that there are only two possibilities why AGI wont emerge. Either we destroy ourselves, or we agree not to pursue better technology. Since the last alternative is quite improbable, one day, if we do not destroy civilization, we will witness the rise of artificial general intelligence. Superintelligent machines pose a unique threat to humanity if our values are not aligned. One solution to the apparent Fermi paradox could be the misaligned values between artificial life and biological life. The development of AI, in particular Strong AI or General AI most often referred as AGI could also be the architect of a Utopian world. However we can not afford for a best case scenario by sitting on our hands. We have to tread carefully in these unfamiliar digital waters and put the right systems and regulations into place. There is also hope for humanity in the sense of us merging with intelligent machines into a symbiotic relationship. The dawn of artificial general intelligence and aligning our values with such an AGI which is also known as the AI control problem, might be the single most important task in the history of our species.
The technological singularity is one of the most popular topics in computer science today. The implications of it are immense, and it could change the course of history. Artificial Intelligence is on the rise, and soon enough, we will have Superintelligence. It’s not slowing down any time soon. What is the technological singularity? When is it coming? Are robots actually a threat? I have a few ideas.
This video discusses the basics of Artificial Intelligence, Machine Learning and Deep Learning.
In 2019, Facebook settled a lawsuit with civil rights groups following the revelation that advertisers using their platform could use the targeting options to exclude many specific demographics from seeing their ads. It’s now more difficult for an unscrupulous advertiser to use Facebook’s platform to discriminate.
However, even when you remove human bias from the system, Facebook’s ad delivery algorithms can result in biased outcomes. According to research from Northeastern University, Facebook sometimes displays ads to highly skewed audiences based on the content of the ad.
By purchasing ads and inputting neutral targeting options, the researchers found that the algorithmically determined audience for job ads for cleaners, secretaries, nurses, and preschool teachers was mostly women. The job ads for fast food workers, supermarket cashiers, and taxi drivers skewed toward Black users. The studies show that by targeting “relevant” users, these systems can reinforce existing disparities in our interests and our opportunities.
Tesla is not just a car company. Long term, Elon Musk is likely to make Tesla an autonomous robotics logistics company with the advent of full self driving autonomous vehicle software and hardware. At the moment, all Tesla’s are large and heavy due to their enormous battery pack technology. However, what if Tesla did a 180 and started creating super small autonomous delivery drones by the late 2020s? If Tesla did this, perhaps they could unlock new revenue growth and net income profits to help their bottom line. Tesla could absolutely dedicate 1 or 2 gigafactories to this idea and exploit their new found autonomous computer hardware and software for the tiny robot revolution. If Tesla did this successfully, perhaps Tesla may be able to solidify itself as the worlds most valuable and profitable company on Earth and in the stock market with its clean energy technology stack…