One of the great challenges in learning new skills is being able to put them to practice in real scenarios. Although practicing in real scenarios offers critical learning, it also comes with serious risks. Can AI be the answer in creating on the job learning without the risks? My guest is an internationally recognized expert in AI in education and the technology he created helps people learn faster and more effectively. Dr Lewis Johnson co-founded Alelo in 2005 as a spinout of the University of Southern California, under his leadership Alelo has developed into a major producer of AI-driven learning products focusing on communication skills.
Ricky Ray Butler is CEO of BEN, an entertainment AI company that places brands into influencer, streaming, TV, music and film content. As everything in our lives -- including entertainment -- turns digital, we're starting to recognize the negative impact that digital consumption and technology have on the environment. For instance, Carbon Trust recently reported that streaming just one hour of the newest binge-worthy TV show requires the same amount of energy as boiling a kettle for six minutes. It might not sound like much, but it adds up quickly, especially as content consumption spiked in 2020 and our time spent engaging with digital media is expected to increase another nine minutes this year. Businesses and consumers alike are looking for ways to mitigate their carbon footprint, and people aren't just gaining awareness around sustainability when it comes to consumer and enterprise technology.
Language modeling -- that is, predicting the probability of a word in a sentence -- is a fundamental task in natural language processing. It is used in many NLP applications such as autocomplete, spelling correction, or text generation. Currently, language models based on neural networks, especially transformers, are the state of the art: they predict very accurately a word in a sentence based on surrounding words. However, in this project, I will revisit the most classic language model: the n-gram models. In this project, my training data set -- appropriately called train -- is "A Game of Thrones", the first book in the George R. R. Martin fantasy series that inspired the popular TV show of the same name.
During training, the squared L2 error between the clean spectrogram and the predicted spectrogram is used as a loss function to train the network. At inference time, our separation model can be applied to arbitrarily long segments of video and varying numbers of speakers. The latter is achieved by either directly training the model with multiple-input visual streams (one for speaker), or simply by feeding the visual features of the desired speaker to the visual stream. For full details about the architecture and training process, see our full paper.15
Sense8 was an eight-hour Netflix Original series created by Lana and Andy Wachowski, and J. Michael Straczynski. The science fiction series starred eight characters worldwide, connected by a bond that can be felt through every sense. Sense8 follows the inhabitants of Chicago, who are all connected by more than just two or three senses; they are experiencing everything that their counterparts are seeing, sensing, hearing, and feeling. The series is a love story between two characters, and as they become more connected to their sense counterparts, they begin to feel their partners' pain. They also carry the responsibility of protecting their loved ones that are constantly in danger and fighting for freedom from some sort of outside threat.
A young computer scientist who grew up in Mississippi is focusing her efforts on fairness and identifying biases in technology. Though she's working in Atlanta as an artificial intelligence researcher for Amazon, she's reinvesting much of her earnings towards the development of a multi-million dollar innovation center that's set to transform her native downtown Jackson. Dr. Nashlie Sephus is also CEO of The Bean Path -- a non-profit that works to bridge the "tech gap" in communities where access to technical expertise, computer coding and other resources are limited. She speaks candidly with host Eddie Robinson about her experiences in closing commercial real estate deals in the Deep South and how she's worked in a field of study where there's not many Black women with PhDs. Fill out the form below to subscribe our new daily editorial newsletter from the HPM Newsroom.
Representing knowledge and the reasoning for the conclusions drawn has remained a cornerstone of artificial intelligence (AI) for decades. A knowledge graph (KG) is a powerful data structure that represents information in a graphical format. DBpedia, an open source knowledge graph defines a knowledge graph as "a special kind of database which stores knowledge in a machine-readable form and provides a means for information to be collected, organised, shared, searched and utilised." Formally, a KG is a directed labeled graph which represents relations between data points. A node of the KG represents a data point.
Company OverviewWarnerMedia is a leading media and entertainment company that creates and distributes premium and popular content from a diverse array of talented storytellers and journalists to global audiences through its consumer brands including: HBO, HBO Max, Warner Bros., TNT, TBS, truTV, CNN, DC Entertainment, New Line, Cartoon Network, Adult Swim, Turner Classic Movies and others. Business Unit OverviewHBO Max is where storytelling takes center stage and where creatives find a home with the support and resources to do their best work, no matter the genre or format. Whatever the viewer wants to watch is front and center and more of what they crave is easily discovered. It is where our exclusive HBO Max Originals and iconic entertainment brands thrive, with HBO, Warner Bros., DC, Turner Classic Movies, Cartoon Network and more delivering the greatest array of series, movies and specials for audiences of all ages. HBO Max launched in the US in May 2020 and is scheduled to be in an additional 60 markets this year, launching in Latin America in June and followed by upgrades of HBO-branded streaming services in Europe.
Imagine you're going on a first date with a prospective hottie. You meet them at the bar, hoping to make a connection, and you immediately discover that they're dressed head to toe like a realistic rhino, jaguar, or maybe even a dolphin (blowhole and all). Each episode of the show--which is both a bastardization of real furry culture and a reboot of a 2014 BBC series--follows a hopeful single as they look for their "sexy beast" from a trio of contestants. All four of the singles featured in each episode wear elaborate prosthetics throughout their dates, in an attempt to promote "real connections" among its contestants, rather than allow them to focus on each other's real, human looks. Naturally, after watching all six half-hour episodes, we did what we had to do: rank all 24 of these sexy beasts from least to most sexy. These were our three main criteria: how well-made their prosthetic mask is; how likeable the person under the mask is, and how likely we are to go out with that person based on said mask and likability.
More than two years after it was first introduced, Panic's Playdate finally has a preorder date: Thursday, July 29. This charming and bright yellow handheld video game console has a unique crank on its side, and its $179 price includes 24 games developed exclusively for the device. You won't be able to play all 24 games right away, though. Panic will deliver two games every week to the device over Wi-Fi for three months until all 24 are in the system. This encapsulates Season 1's games, and unfortunately, Panic doesn't have much to share on Season 2. "We're waiting to see how many people are interested in the Playdate before determining how games are distributed in the future," a Panic spokesperson wrote in an email.