The new structure would allow for most of ByteDance’s existing investors to retain their equity stakes and would bring more video to Perplexity, according to a source familiar with the situation.
Category: robotics/AI – Page 399
Nvidia transitions to advanced CoWoS-L chip packaging, signaling a major shift for TSMC
Speaking on the sidelines of an event hosted by chip supplier Siliconware Precision Industries in Taichung, Taiwan, Huang explained the transition in Nvidia’s chip packaging requirements. “As we move into Blackwell, we will use largely CoWoS-L. Of course, we’re still manufacturing Hopper, and Hopper will use CoWoS-S. We will also transition the CoWoS-S capacity to CoWoS-L,” he stated.
Huang emphasized that this shift does not indicate a reduction in capacity but rather an increase in capacity for CoWoS-L technology. “So it’s not about reducing capacity. It’s actually increasing capacity into CoWoS-L,” he said.
CoWoS-L (Chip-on-Wafer-on-Substrate with Local Silicon Interconnect) represents a significant advancement over CoWoS-S in terms of performance and efficiency for high-end computing applications like AI and HPC.
Ultra-small neuromorphic chip learns and corrects errors autonomously
Existing computer systems have separate data processing and storage devices, making them inefficient for processing complex data like AI. A KAIST research team has developed a memristor-based integrated system similar to the way our brain processes information. It is now ready for application in various devices, including smart security cameras, allowing them to recognize suspicious activity immediately without having to rely on remote cloud servers, and medical devices with which it can help analyze health data in real time.
The joint research team of Professor Shinhyun Choi and Professor Young-Gyu Yoon of the School of Electrical Engineering has developed the next-generation neuromorphic semiconductor-based ultra-small computing chip that can learn and correct errors on its own. The research is published in the journal Nature Electronics.
What is special about this computing chip is that it can learn and correct errors that occur due to non-ideal characteristics that were difficult to solve in existing neuromorphic devices. For example, when processing a video stream, the chip learns to automatically separate a moving object from the background, and it becomes better at this task over time.
100x Faster: Light-Powered Memory That’s Revolutionizing Computing
A new era in computing is emerging as researchers overcome the limitations of Moore’s Law through photonics.
This cutting-edge approach boosts processing speeds and slashes energy use, potentially revolutionizing AI and machine learning.
Machine learning is a subset of artificial intelligence (AI) that deals with the development of algorithms and statistical models that enable computers to learn from data and make predictions or decisions without being explicitly programmed to do so. Machine learning is used to identify patterns in data, classify data into different categories, or make predictions about future events. It can be categorized into three main types of learning: supervised, unsupervised and reinforcement learning.
Eliza wakes up: $420K AI robot brings emotional intelligence to life
Eliza evolves into a lifelike AI robot, offering emotional intelligence, human-like companionship, and interactive engagement for $420,000.
Nano-Chainmail 2D Mechanically Interlocked Polymer
Nemourlon armor of reasonable weight resists penetration by most fragments and any bullet that is not both reasonably heavy and fairly high-velocity.’ — Jerry Pournelle, 1976.
Goldene — A Two-Dimensional Sheet Of Gold One Atom Thick ‘Hasan always pitched a Gauzy — a one-molecule-layer tent, opaque, feather-light, and very tough.’ — Roger Zelazny, 1966.
GNoME AI From DeepMind Invents Millions Of New Materials ‘…the legendary creativity of our finest human authors pales against the mathematical indefatigability of GNoME.’
Reverse Aging : Small Molecule Cocktail & Epigenetic Reprogramming | Dr David Sinclair
This video provides a progress update on cutting-edge research exploring epigenetic reprogramming and small molecule cocktails for cellular rejuvenation.
Dr David Sinclair delve into the latest studies on how these approaches can potentially reverse the effects of aging at the cellular level. Topics covered include:
• The mechanisms of epigenetic reprogramming using Yamanaka factors. The development and testing of novel small molecule cocktails. Applications in various tissues and organs Research on reversing cellular senescence and restoring cell identity. The use of AI for high-throughput screening of potential rejuvenating compounds.
This update highlights recent advancements, challenges, and future directions in this exciting field of research.
* Credits to ARRD \& Dr David Sinclair*
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