Background Problematic Internet use (PIU) is an emerging entity with varied contents. Behavioral addictions have high comorbidity of attention deficit hyperactivity disorder and obsessive-compulsive spectrum disorders. Social networking site (SNS) addiction and role playing game (RPG) addiction are traditionally studied as separate entities. We present a case with excessive Internet use, with a particular focus on phenomenology and psychiatric comorbidities. Case presentation Fifteen-year-old girl with childhood onset attention deficit disorder, obsessive-compulsive disorder, adolescent onset trichotillomania, and disturbed family environment presented with excessive Facebook use. Main online activity was creating profiles in names of mainstream fictional characters and assuming their identity (background, linguistic attributes, etc.). This was a group activity with significant socialization in the virtual world. Craving, salience, withdrawal, mood modification, and conflict were clearly elucidated and significant social and occupational dysfunction was evident. Discussion This case highlights various vulnerability and sociofamilial factors contributing to behavioral addiction. It also highlights the presence of untreated comorbidities in such cases. The difference from contemporary RPGs and uniqueness of role playing on SNS is discussed. SNS role playing as a separate genre of PIU and its potential to reach epidemic proportions are discussed. Conclusions Individuals with temperamental vulnerability are likely to develop behavioral addictions. Identification and management of comorbid conditions are important. The content of PIU continues to evolve and needs further study.
Sri Lanka has a beautiful heritage woven around Jewelry; treasures, coronations, sacred possessions, and performing arts. How does it feel to be a key player in a local industry that derives from that?
The social media platform needs to be more transparent as to how it designs and implements automated processes to identify online abuse against women. While Twitter has disclosed details on how it is using algorithms to combat misinformation during the current COVID-19 pandemic, it is yet to provide the same level of transparency on how algorithms are used to address abusive tweets.
In response to our analysis, Twitter acknowledged it needs to do more. However, the company said its combination of human moderation and use of technology, allows it to take a more proactive response to online abuse. On publishing disaggregated data by country or region, Twitter argued this could be open to misinterpretation and give a misleading impression of the problem.
I am streaming a video and playing it from my android app. Now, I want to know the audio and video codec that is used. I have a textbox to get the url the user wants to stream. Now, I run my media player with this url as datasource. Is it possible to find the codec of the video streaming url? If so, which classes should I use. I have gone through MediaCodec and still not sure.
An invention by the French surrealists, exquisite cadavers refers to a game in which words are assembled into a piece of writing by each player in turn. Playing on this technique in her new novel, Exquisite Cadavers, Meena Kandasamy gives importance to both the story and her process.
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Interview with Latent AI Co-founders Jags Kandasamy and Sek Chai.Show NotesSome estimate as many as 75 billion new devices will come online in the nextfive years. This is where tech startup Latent AI enters the equation. Latent AIis helping developers build AI models, specifically ones that can be used onedge devices.
Jags Kandasamy:Absolutely. We are in the world of exploding devices. Thenumber of devices that's coming online is growing exponentially. The amount ofdata that is getting created is also exploding. The only way we've been able tosolve this problem is applying AI. Today, AI is being applied in the cloud. Wethought, why not apply AI to where the source of the data is, where the data isgetting generated?Our value prop that we bring to the table is we help developers build AI modelsthat can be deployed at small devices, small constrained devices, and along thedifferent pathways that the data travels. That's what we bring to the table.
Jags Kandasamy:I think Gartner called this out. In the next five years, 75billion devices are going to be coming online from an IOT standpoint. Right. Andwhat is today, I think 2% of these devices - whatever the devices that areavailable today - are processing AI at the edge. That is going to turn to about50% of them using AI at the edge of that 75 billion devices in five years.
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