Tag Archives: Artificial Intelligence
Five Most Controversial Moments Of AI In 2020
Artificial Intelligence has to be one of the most impactful technologies that the world has seen in recent years. It is no longer just limited to the quaint research and development labs of academies and bigger institutions but has successfully penetrated the normal and day-to-day functioning of the society.
Like any other technology, AI also comes with its set of challenges. However, the stakes are slightly higher, considering the impact AI-technology-gone-rogue can have. Below we list some of the most controversial moments of the AI industry in 2020. If not anything, this may be considered as a cautionary alarm moving forward. Read More
What is AI? We made this to help.
We made an podcast game to help you determine what is, or isn’t, AI
Defining what is, or isn’t artificial intelligence can be tricky (or tough). So much so, even the experts get it wrong sometimes. That’s why MIT Technology Review’s Senior AI Reporter Karen Hao created a flowchart to explain it all. In this bonus content our Host Jennifer Strong and her team reimagine Hao’s reporting, gamifying it into an audio postcard of sorts. Read More
How Compute Divide Leads To Discrimination In AI Research
Science doesn’t discriminate, but probably technology does, at least in terms of accessibility. New research has found that the unequal distribution of compute power in academia is promoting inequality in the era of deep learning. The study conducted jointly by AI researchers from Virginia Tech and Western University found that this de-democratisation of AI has pushed people to leave academia and opt for high-paying industry jobs.
The study found that the amount of compute power at elite universities, ranked among top 50 as per QS World University Rankings, is much more than at mid-to-low tier institutions. For the research, authors analysed over 170,000 papers presented across 60 prestigious computer science conferences such as ACL, ICML, and NeurIPS in categories like computer vision, data mining, NLP, and machine learning. Read More
Read the Paper
Top 10 Artificial Intelligence Research Labs in the World
Artificial intelligence is continuously evolving and propagating across every industry. With much of the groundbreaking innovations moving the industry forward, the technology is continuously making headlines every day. AI refers to software or systems that perform intelligent tasks like those of human brains such as learning, reasoning, and judgment. Its applications range from automation and translation systems for natural languages that people use daily, to image recognition systems that help identify faces and letters from images. Today, AI is used in different forms include digital assistants, chatbots and machine learning, among others.
Here’s a look at the top 10 AI Research Labs in the world that are leading the research and development in AI and related technologies. Read More
How Can AI And Quantum Computers Work Together?
Traditional computers operate based on data that is encoded in a binary system. Essentially, each bit of data is represented in zeroes and ones only — no more, no less than the two forms. Hence, the binary computing system. However, there is a new generation of computers emerging on the horizon called quantum computing and it’s taking computing systems beyond the normal binary.
… One of the areas where quantum computing is more lucrative and promising is artificial intelligence. As AI operates on the analysis of large datasets, the margin of error and inaccuracy in the process of learning has significant room for improvement — and quantum computing may well allow us to improve the algorithm’s ability to learn and interpret. Read More
Agence is an experience that is never the same twice.
A dynamic short-film that merges cinematic storytelling, artificial intelligence, and user interactivity, Agence is never the same twice. In this simulated universe, you have the power to observe or interfere with tiny AI creatures, called the “Agents”, as they react to each other and their emerging world. Once you meet these little AI creatures, their story will never be the same. Read More
Eye on A.I. Episode 44 – Fei-Fei Li
This week I speak to Stanford professor Fei-Fei Li, one of the people responsible for the current AI revolution. Fei-Fei talked about her early days running a New Jersey dry cleaner to finance her Princeton education, her creation of ImageNet, the world’s first large labeled image data set, which allowed the validation of neural networks, and her latest work on ambient intelligence, which promises to transform elder care. Read More
Do We Live in a Simulation? Chances Are about 50–50
Gauging whether or not we dwell inside someone else’s computer may come down to advanced AI research—or measurements at the frontiers of cosmology
It is not often that a comedian gives an astrophysicist goose bumps when discussing the laws of physics. But comic Chuck Nice managed to do just that in a recent episode of the podcast StarTalk.The show’s host Neil deGrasse Tyson had just explained the simulation argument—the idea that we could be virtual beings living in a computer simulation. If so, the simulation would most likely create perceptions of reality on demand rather than simulate all of reality all the time—much like a video game optimized to render only the parts of a scene visible to a player. “Maybe that’s why we can’t travel faster than the speed of light, because if we could, we’d be able to get to another galaxy,” said Nice, the show’s co-host, prompting Tyson to gleefully interrupt. “Before they can program it,” the astrophysicist said,delighting at the thought. “So the programmer put in that limit.” Read More
Neil deGrasse Tyson Explains the Simulation Hypothesis
The Next Generation Of Artificial Intelligence
The field of artificial intelligence moves fast. It has only been 8 years since the modern era of deep learning began at the 2012 ImageNet competition. Progress in the field since then has been breathtaking and relentless.
If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Read More (Part 1) … (Part 2)
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