LEM
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
The late Ian Watson's sci-fi The Embedding is intriguing – but dated
The Embedding Ian Watson, Gollancz The acclaimed British science-fiction writer Ian Watson, author of more than two dozen novels, died this April. His fame may have faded over the decades, but his debut novel The Embedding was greeted with acclaim when it was published in 1973. The Spectator declared it “the most spectacular thing in science fiction since the outstanding Solaris by Stanisław Lem”.
Superintelligence: The Idea That Eats Smart People (2016)
This is the text version of a talk I gave on October 29, 2016, at Web Camp Zagreb [video] (45 mins) SuperintelligenceThe Idea That Eats Smart People | | | In 1945, as American physicists were preparing to test the atomic bomb, it occurred to someone to ask if such a test could set the atmosphere on fire. This was a legitimate concern.
AI Is Slowing Down
If you liked this piece, you should subscribe to my premium newsletter. It’s $70 a year, or $7 a month, and in return you get a weekly newsletter that’s usually anywhere from 5,000 to 18,000 words, including vast, detailed analyses of NVIDIA, Anthropic and OpenAI’s finances, and the AI bubble writ large (updated to version 3.0 last week). My Hater's Guides To the SaaSpocalypse, Private Credit and Private Equity are essential to understanding our current financial system, and my guide to how...
JONATHAN TURLEY: California proves voters get the government they tolerate
This week, the nation watched as California grappled again with the ordinarily straightforward task of counting votes in an election. While large states such as Florida declare election winners within 24 hours, California may take up to two weeks to count all the votes. Even Los Angeles cannot count its votes in the time of large states despite giving the Clerk an annual budget of $336 million and a $448,179 a year salary with the help of 1,100 budgeted positions.
Geometric Second-Order Feature Correlation Learning for Self-Supervised Speech Emotion Recognition
Announce Type: new Abstract: Self-supervised learning (SSL) yields powerful, context-rich representations for speech emotion recognition (SER), yet aggregating these representations into holistic descriptors remains a bottleneck. Conventional first-order aggregation implicitly assumes feature independence, which overlooks the latent Riemannian geometry and discards higher-order relationships essential to the representational power of the backbone. To address this problem, this paper proposes...