The firm is sharing Sora with a small group of safety testers but the rest of us will have to wait to learn more.
OpenAI has built a striking new generative video model called Sora that can take a short text description and turn it into a detailed, high-definition film clip up to a minute long.
The updated AI model can now do some seriously impressive things with long videos or text.
Google DeepMind today launched the next generation of its powerful artificial-intelligence model Gemini, which has an enhanced ability to work with large amounts of video, text, and images.
ChatGPT maker OpenAI stepped up the race in generative artificial intelligence Thursday when it unveiled its text-to-video generation tool, Sora, viewed as an impressive but potentially dangerous step in the booming AI economy amid concerns about disinformation spread.
“Game on,” said the CEO and cofounder of rival video generator Runway after OpenAI teased content from its latest AI tool.
Marco tempest is a creative technologist at the NASA jet propulsion laboratory, a director’s fellow alumni at the MIT medialab, and the founder and director of the magiclab in new york city.
Marco Tempest uses AI to bring the world’s first programmer to life.
The human brain is probably the most complex thing in the universe. Apart from the human brain, no other system can automatically acquire new information and learn new skills, perform multimodal collaborative perception and information memory processing, make effective decisions in complex environments, and work stably with low power consumption. In this way, brain-inspired research can greatly advance the development of a new generation of artificial intelligence (AI) technologies.
Powered by new machine learning algorithms, effective large-scale labeled datasets, and superior computing power, AI programs have surpassed humans in speed and accuracy on certain tasks. However, most of the existing AI systems solve practical tasks from a computational perspective, eschewing most neuroscientific details, and tending to brute force optimization and large amounts of input data, making the implemented intelligent systems only suitable for solving specific types of problems. The long-term goal of brain-inspired intelligence research is to realize a general intelligent system. The main task is to integrate the understanding of multi-scale structure of the human brain and its information processing mechanisms, and build a cognitive brain computing model that simulates the cognitive function of the brain.
The Schwartz Reisman Institute for Technology and Society and the Department of Computer Science at the University of Toronto, in collaboration with the Vector Institute for Artificial Intelligence and the Cosmic Future Initiative at the Faculty of Arts & Science, present Geoffrey Hinton on October 27, 2023, at the University of Toronto.
0:00:00 — 0:07:20 Opening remarks and introduction.
0:07:21 — 0:08:43 Overview.
0:08:44 — 0:20:08 Two different ways to do computation.
0:20:09 — 0:30:11 Do large language models really understand what they are saying?
0:30:12 — 0:49:50 The first neural net language model and how it works.
0:49:51 — 0:57:24 Will we be able to control super-intelligence once it surpasses our intelligence?
0:57:25 — 1:03:18 Does digital intelligence have subjective experience?
1:03:19 — 1:55:36 Q&A
1:55:37 — 1:58:37 Closing remarks.
Continue reading “Geoffrey Hinton | Will digital intelligence replace biological intelligence?” »
Issues such as abrupt changes in speed limits and incomplete lane markings are among the most influential factors that can predict road crashes, finds new research by University of Massachusetts Amherst engineers. The study then used machine learning to predict which roads may be the most dangerous based on these features.
Published in the journal Transportation Research Record, the study was a collaboration between UMass Amherst civil and environmental engineers Jimi Oke, assistant professor; Eleni Christofa, associate professor; and Simos Gerasimidis, associate professor; and civil engineers from Egnatia Odos, a publicly owned engineering firm in Greece.
The most influential features included road design issues (such as changes in speed limits that are too abrupt or guardrail issues), pavement damage (cracks that stretch across the road and webbed cracking referred to as “alligator” cracking), and incomplete signage and road markings.
The Internet is abuzz with talk about Sora, a new AI model that brings text-to-video generation to a whole new level.
According to OpenAI, its new video AI called Sora is a “world simulator,” that taught itself how to understand 3D spaces.
A research has identified and analyzed potential areas which can give a country comparative advantage and expansion in economic activities.
The findings indicates that developing countries can leverage Artificial Intelligence (AI) to achieve a faster and more sustainable growth. This has led to countries worldwide racing to harness AI to make their industries more competitive and helping to diversify economies.
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