The richest man in the world is building a super-intelligent AI to understand the true nature of the universe. This is what the project means for investors.
Elon Musk held a Twitter Spaces event in early July to reveal X.ai, his newest AI business. X.ai researchers will focus on science, while also building applications for enterprises and consumers.
To participate, investors should continue to buy Arista Networks ANET (ANET).
NASA and SpaceX teams are set to launch the agency’s Psyche mission to metallic asteroid 16 Psyche from Florida on Friday, Oct. 13. Psyche will launch atop a SpaceX Falcon Heavy rocket from Launch Complex 39A (LC-39A) at the Kennedy Space Center in Cape Canaveral, Florida. Launch is currently scheduled for 10:19 AM EDT (14:19 UTC). Current weather forecasts from the 45th Weather Squadron predict a 40% chance for favorable weather at liftoff. Should the launch be scrubbed due to weather, backup launch opportunities are available throughout the following days. Psyche’s launch window lasts from Oct. 5 to Oct. 25.
Psyche will be the first mission to ever visit and extensively study a metallic asteroid. 16 Psyche is thought to have once been the core of forming planetesimal back when the solar system was first forming. If this prediction is true, 16 Psyche could provide planetary scientists with incredible amounts of information and insight into how planets form and what the cores of planets like Earth, Mars, and Mercury look like.
In this article we’ll use a Q-Former, a technique for bridging computer vision and natural language models, to create a visual question answering system. We’ll go over the necessary theory, following the BLIP-2 paper, then implement a system which can be used to talk with a large language model about an image.
Who is this useful for? Data scientists interested in computer vision, natural language processing, and multimodal modeling.
How advanced is this post? Intermediate. You might struggle if you don’t have some experience in both computer vision and natural language processing.
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Of the three great Stoics, Seneca always interested me the least. A playwright and professional philosopher, he seemed unlikely to be acquainted with the more mundane forms of suffering that beset humanity. This made him seem unfit to propound upon a philosophy concerned with right conduct under challenging circumstances.
Marcus Aurelius, ruler of an enormous empire, spent most of his reign embroiled in wars he had no desire to fight. Epictetus, a Greek who endured the hardships of slavery, also embodied the Stoic ideal. Cries of “ad hominem!” aside, it is hard to dispute that our experiences shape our outlooks on living. Biographical criticisms can be flimsy, but the central argument in De Brevitate Vitae — an otherwise inspirational classic — was exceptionally naive for the 1st century.
Although Seneca understood intrigue and exile firsthand, he was not privy to the time-sapping vicissitudes of householding or holding down a job.
Watch live as NASA astronaut Frank Rubio, the new record holder for the longest single U.S. spaceflight, returns home from the International Space Station. T…
Watch the Psyche spacecraft launch from NASA’s Kennedy Space Center in Florida on a SpaceX Falcon Heavy rocket. NASA and SpaceX are now targeting launch at 1…
For a long time, each ML model operated in one data mode – text (translation, language modeling), image (object detection, image classification), or audio (speech recognition).
However, natural intelligence is not limited to just a single modality. Humans can read and write text. We can see images and watch videos. We listen to music to relax and watch out for strange noises to detect danger. Being able to work with multimodal data is essential for us or any AI to operate in the real world.
OpenAI noted in their GPT-4V system card that “incorporating additional modalities (such as image inputs) into LLMs is viewed by some as a key frontier in AI research and development.”
New research conducted by the not-for-profit organisation, Material Focus, has found that half a billion small, cheap electrical everyday items, such as headphones or handheld fans, found their way into landfill in the UK last year.
Consumers discard or possess disused electronic goods containing raw materials critical for the green energy transition and worth almost $10 billion every year, the United Nations said on Thursday.
Toys, cables, electronic cigarettes, tools, electric toothbrushes, shavers, headphones and other domestic gadgets contain metals like lithium, gold, silver and copper.
Demand is expected to soar for these materials due to their crucial role in rapidly growing green industries such as electric vehicle battery production.
