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A sudden increase in AI capability suggests a weirder world in our near future.

Technology has already changed our world. I mean, who knew that we’d be able to flick a switch to illuminate the darkness rather than lighting a candle? It’s wild. But the technology we have today and will have in the future is absolutely insane. From 3D printing houses to robotics to help us in our jobs, here are 20 emerging technologies that will change our world.

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Venture capitalists predict artificial intelligence, virtual reality and video-learning startups will dominate the space in 2023.

Is an American entrepreneur, angel investor, co-founder of Hydrazine Capital, former president of Y Combinator, founder and former CEO of Loopt, and co-founder and CEO of OpenAI.

I wonder if musicians should be worried.

Google Research introduces MusicLM, a model that can generate high-fidelity music from text descriptions. See how MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence modeling task, and how it outperforms previous systems in audio quality and text description adherence. Learn more about MusicCaps, a dataset composed of 5.5k music-text pairs, and see how MusicLM can be conditioned on both text and a melody. Check out this video to see the power of MusicLM: Generating Music From Text! #GoogleResearch #MusicLM #MusicGeneration.

Continue reading “My Mind was Blown. AI Music is INSANE! — Google’s NEW MusicLM AI” »

A model for information storage in the brain reveals how memories decay with age.

Theoretical constructs called attractor networks provide a model for memory in the brain. A new study of such networks traces the route by which memories are stored and ultimately forgotten [1]. The mathematical model and simulations show that, as they age, memories recorded in patterns of neural activity become chaotic—impossible to predict—before disintegrating into random noise. Whether this behavior occurs in real brains remains to be seen, but the researchers propose looking for it by monitoring how neural activity changes over time in memory-retrieval tasks.

Memories in both artificial and biological neural networks are stored and retrieved as patterns in the way signals are passed among many nodes (neurons) in a network. In an artificial neural network, each node’s output value at any time is determined by the inputs it receives from the other nodes to which it’s connected. Analogously, the likelihood of a biological neuron “firing” (sending out an electrical pulse), as well as the frequency of firing, depends on its inputs. In another analogy with neurons, the links between nodes, which represent synapses, have “weights” that can amplify or reduce the signals they transmit. The weight of a given link is determined by the degree of synchronization of the two nodes that it connects and may be altered as new memories are stored.

Deep Learning AI Specialization: https://imp.i384100.net/GET-STARTED
Breakthrough Google DeepMind Adaptive AI agents, known as AdA, are able to learning millions of tasks within minutes each with reinforcement learning, matching the speed and ability of a skilled human gamer, all without using training data. A New InstructPix2Pix text to image artificial intelligence can do photo editing with simple text instructions. A new dataset called OMMO enables novel view synthesis, surface reconstruction, and multi-modal NeRF.

AI News Timestamps:
0:00 New Google DeepMind Reinforcement Learning AI
3:11 New InstructPix2Pix Artificial Intelligence.
6:29 OMMO NeRF View Synthesis.

#technology #tech #ai

A new stage in the history of AI marked by the emergence of a new type of hype.

Microsoft made a multibillion dollar investment in OpenAI, the creator of ChatGPT, reigniting an old rivalry with Google. The move also set off an “AI arms race” that puts Google at risk. FT explains.