Art historians may have a new tool for settling the attribution of disputed paintings using artificial intelligence (AI) thanks to research by a cross-disciplinary team led by physicists at Case Western Reserve University. The research, shows how machine learning analysis of small sections of topographical scans of paintings—some as tiny as half a millimeter—was able to attribute the works to the correct artist with up to 96% accuracy.
Don’t you hate it,” says Jon the Robot, gesturing with tiny articulated arms at an expectant crowd, “when you’re trying to solve inverse kinematics equations to pick up a cup and then you get ‘Error 453, no solution found’?” The crowd laughs. “Don’t you hate that?” The prospect of an AI that understands why we are laughing, and that can generate its own genuinely funny material, is sort of a holy grail for a subset of AI researchers.
YouTube has made massive strides towards solving millions of copyright claims that plague its platform. The automated Content ID system is by no means perfect but does provide a way for rightsholders and alleged infringers to amicably settle their differences. What it doesn’t have is the human ability to spot opportunities for cooperation and innovation. Sadly, humans can struggle with that too.
AI tools can already create entirely new music from scratch, from apps that produce automated lyrics to others that write the chords and instrumentation. Just as computers and mobile phones have democratized the distribution and recording of music, its proponents say that AI makes the process of music creation available to everyone. It could also have some unforeseen negative effects, according to its detractors.
The U.S. Copyright Office has launched a public consultation to evaluate various technical measures that can identify and protect copyrighted content online. With help from various stakeholders and the public at large, the Office hopes to get a better understanding of the pros and cons of these tools, including upload filters, and the potential role of the Government.
Tenami is a Chrome extension and Windows package that allows Twitch streamers to ‘stream’ copyrighted movies and TV shows to their users, without actually distributing any copyrighted content. It does this by extending Twitch’s watch party feature to include support for several official streaming services which are synced and seamlessly delivered to Twitch viewers.
In 2015 one might have imagined that the major studios would simply shrivel up and die like so many other market-leading firms in other “disrupted” industries. But they haven’t. And the reason they haven’t reveals a path forward for managers in industries facing digital transformation.
The European Union’s ambitious plan to update its pioneering internet rules gained momentum Tuesday after a key committee passed measures requiring technology companies to better police content and lawmakers prepared to vote on regulations to rein in Big Tech. One set of EU rules, the Digital Services Act, aims to make tech companies more responsible for content on their platforms.
Grand View Research predicts a USD $15 billion market by 2027. The problem with meeting or exceeding that expectation is in the challenge of producing significantly more audiobooks. Artificial intelligence (AI) can provide technology that can streamline audiobook production and meet the constantly increasing demand.
On Tuesday, the Senate voted 68 to 31 to confirm Jessica Rosenworcel’s re-appointment to the Federal Communications Commission, putting her in place to be the first permanent chair of the agency under President Biden. Rosenworcel will also be the first female chair in the 86-year history of the FCC.