The next-generation IBM z16 comes with an IBM Telum processor for real-time AI insights.
Mainframes and AI? Isn’t that something like a Model-T Ford with a Tesla motor? Actually, no. Mainframes are as relevant in 2022 as they were in the 1960s. IBM’s new IBM z16, with its integrated on-chip Telum AI accelerator, is ready to analyze real-time transactions, at scale. This makes it perfect for mainframe mission-critical workloads such as healthcare and financial transactions.
This 21st century Big Iron AI accelerator is built onto its core Telum processor. With this new dual-processor 5.2 GHz chip and its 16 cores, it can perform 300 billion deep-learning inferences per day with one-millisecond latency. Can you say fast? IBM can. Read More
Monthly Archives: April 2022
OpenAI’s new DALL.E model turns your words into pieces of art
OpenAI takes the wraps off DALL·E 2, its second-generation text-to-image generator.
OpenAI, the AI research startup, has announced(opens in new tab) DALL·E 2, an update to its text-to-image generator that looks like a serious step forward.
In essence, DALL·E 2 can create art from a natural language input, such as: “a painting of a fox sitting in a field at sunrise in the style of Claude Monet”. OpenAI says the goal is to create “original, realistic images and art” that can “combine concepts, attributes, and styles”. Read More
ZooBuilder: 2D and 3D Pose Estimation for Quadrupeds
MuZero with Self-competition for Rate Control inVP9 Video Compression
Video streaming usage has seen a significant rise as entertainment, education, and business increasingly rely on online video. Optimizing video compression has the potential to increase access and quality of content to users, and reduce energy use and costs overall. In this paper, we present an application of the MuZero algorithm to the challenge of video compression. Specifically, we target the problem of learning a rate control policy to select the quantization parameters (QP) in the encoding process of libvpx, an open source VP9 video compression library widely used by popular video-on-demand (VOD) services. We treat this as a sequential decision making problem to maximize the video quality with an episodic constraint imposed by the target bitrate. Notably, we introduce a novel self-competition based reward mechanism to solve constrained RL with variable constraint satisfaction difficulty, which is challenging for existing constrained RL >methods. We demonstrate that the MuZero-based rate control achieves an average 6.28% reduction in size of the compressed videos for the same delivered video quality level (measured as PSNR BD-rate) compared to libvpx’s two-pass VBR rate control policy, while having better constraint satisfaction behavior. Read More
#vfxThe singularity is very close
Within one century, biological intelligence will be a tiny minority of all sentient life. It will be very rare to be human. It will be very rare to have cells and blood and a heart. Human beings will be outnumbered a thousand to one by conscious machine intelligences.
Artificial General Intelligence (AGI)1 is about to go from being science fiction to being part of everybody’s day-to-day life. It’s also going to happen in the blink of an eye — because once it gets loose, there is no stopping it from scaling itself incredibly rapidly. Whether we want it to or not, it will impact every human being’s life.
Some people believe the singularity won’t happen for a very long time, or at all. I’d like to discuss why I am nearly certain it will happen in the next 20 years. My overall prediction is based on 3 hypotheses:
- Scale is not the solution.
- AI will design AGI.
- The ball is already rolling.
#singularity
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