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Research Associate in Machine Learning-Based Spatial Audio

#artificialintelligence

We have a research associate (postdoc) position to work on spatial audio processing and spatial hearing using methods from machine learning. The aim of the project is to design a method for interactively fitting individualised filters for spatial audio (HRTFs) to users in real-time based on their interactions with a VR/AR environment. We will use meta-learning algorithms to minimise the time required to individualise the filters, using simulated and real interactions with large databases of synthetic and measured filters. The project has potential to become a very widely used tool in academia and industry, as existing methods for recording individualised filters are often expensive, slow, and not widely available for consumers. The role is initially available for up to 18 months, ideally starting on or soon after 1st January 2022 (although there is flexibility).


No More "What" Without the "Why"

#artificialintelligence

Throughout the last months, I had the chance to enable various organizations and leaders leveraging their large databases with machine learning. I was particularly engaging with member organisations which struggle with rising dropout rates (churns) -- an issue that became even more serious throughout the pandemic when individual income has been on a declining and the fear of job loss on a rising path. With machine learning, we used very large membership databases with individual-level information (e.g. Machine Learning tells us the "What", Causal Inference the "Why" Despite the overall good performance of the machine learning models, our clients were always interested in one obvious question: Why does an individual member leave? Unfortunately, machine learning models are not suited to identify the causes of things but rather they are built to predict things.


How to teach computers to recognize dogs and cakes in images

#artificialintelligence

Artificial intelligence is a very interesting topic that evokes a lot of emotions. This is due to the fact that the development of new technologies involves many opportunities and threats. Some artificial intelligence technologies have been around for a long time, but advances in computational power and numerical optimization routines, the availability of huge amounts of data, have led to great breakthroughs in this field. Artificial intelligence is widely used to provide personalized recommendations when shopping or simply searching for information on the web. More advanced inventions include autonomous self-driving cars -- which, in a simplified way, make decisions about the next movements of vehicles based on data collected from various types of sensors installed in them.


Artificial Intelligence Is Incompatible With The Future Of Communication – Here's Why

#artificialintelligence

The future of work is no longer merely a concept, but a reality -- Covid-19 has made sure of that. The pandemic has accelerated workplace innovation across sectors to the point of no return, with contemporary businesses now almost entirely reliant on new technologies simply to exist. What role, then, does artificial intelligence (AI) have to play in this drastic shift? For some time now, I've firmly maintained the belief that AI would take over the vast majority of process-driven work within 15 years. However, with years of key developments in the world of work having recently been crammed into a matter of months, the future has unfolded very differently than we imagined.


Reinforcement Learning for a Better Tomorrow

#artificialintelligence

Artificial Intelligence (AI) has had the power of ruling the technologically dominated world for quite some time now. Today, we have reached a stage wherein advanced artificial intelligence has become one of the most sought after techniques to bring about innovation and solve complex business problems. Over the last few years, the technology has matured to the extent that it has become highly scalable. In the midst of all this, what has grabbed eyeballs from everywhere across is reinforcement learning – training the machine learning models to be able to make the best possible decisions. Reinforcement learning makes use of algorithms that do not rely only on historical data sets, to learn to make a prediction or perform a task.


Demystifying Differentiation and Optimisers in Neural Network

#artificialintelligence

In the previous article, I talked about the different loss functions available and understood the gradient function. The gradient function uses differentiation of loss with respect to the weight to calculate how the network must change the weight to get closer to the expected output.


Tokyo Olympics robot impresses with impeccable shooting during US-France halftime

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The Tokyo Olympics men's basketball matchup between the U.S. and France was briefly overshadowed by a robot at halftime. The robot was spotted at the foul line taking almost as long as NBA champion Giannis Antetokounmpo to shoot, but the machine made the basket. The robot was then placed at the top of the three-point arch and shot the ball with as much precision as Golden State Warriors star Stephen Curry.


Tom Brady's incredible accuracy on full display in pre-training camp video

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Tom Brady and the Tampa Bay Buccaneers appear ready to compete for another Super Bowl. Brady on Sunday showed off his accuracy in a video. "Training camp starts this week. Brady and the Buccaneers visited the White House earlier in the week to celebrate the franchise's second Super Bowl title. The team brought back each of its starters after beating the Kansas City Chiefs, a feat that has never been done in the NFL until Tampa Bay did it. The 43-year-old is entering his 22nd NFL season and coming off MCL surgery as he reportedly played with a torn ligament the entire 2020 season. In 2020, Brady had 4,633 passing yards and 40 touchdown passes. He took the Buccaneers into the playoffs on a wild card berth and won each playoff game on the road before beating the Chiefs in Super Bowl LV. Alex Guerrero, Brady's personal trainer, said last week fans can expect to see Brady on the field for another two years -- at least. Guerrero said during an appearance on "The Adam Schefter Podcast" Tuesday that the goal was always to help prepare Brady to play through at least 45, which means that he will fulfill his contract with the Bucs through the 2022 season. "I think the biggest accomplishment from me will come probably if we make it through age 45 because that's what his goal was.


spaCy Version 3.0 Released: All Features & Specifications

#artificialintelligence

The 3.0 version has state of the art transformer-based pipelines and pre-trained models in seventeen languages. The first version of spaCy was a preliminary version with little support for deep-learning workflows. The second version, however, introduced convoluted neural network models in seven different languages. The third version is a massive improvement over both of these versions. The 3.0 version has completed dropped support for Python 2 and only works on Python 3.6.


Artificial Intelligence's Differences Vs. The Human Brain

#artificialintelligence

Artificial intelligence and its not-so-positive reputation have always stemmed from one thing: its apparent superiority over human intelligence. Compared to a very smart person, a computer is simply faster in a lot of aspects. What would take human years to process will only take minutes for AI, and that's a fact. As such, comparing the two types of intelligence yields proof that they are, indeed, quite different from each other. When you talk about a machine's learning capabilities, artificial intelligence can only learn one way: if it is fed a certain amount of data.