“This is the first project of its kind to incorporate a social component into a traffic control system.”
Vehicle pollution is a significant contributor to air pollution worldwide making it both a global and local problem.
A researcher is using machine learning to create traffic light management systems that are socially and environmentally conscious making them ideal at lessening emissions from vehicles.
Kynikos Associates founder and legendary short seller Jim Chanos has highlighted the disparity between the public perception and actual performance of Tesla Inc. TSLA.
What Happened: In an interview with the Institute for New Economic Thinking, Chanos pointed out a common misbelief held by many Tesla admirers. He said the electric vehicle giant is seen as a multi-faceted entity — an AI firm, an alternative energy business, and a robotics organization.
This image, Chanos argues, is a result of Elon Musk’s compelling portrayal of Tesla as a future-focused company.
Neuralink reportedly aims to implant its device into 11 humans next year. Elon Musk said it will be inserted by robot.
Oak Ridge National Laboratory’s research in quantum biology and AI has significantly improved the efficiency of CRISPR Cas9 genome editing in microbes, aiding in renewable energy development.
Scientists at Oak Ridge National Laboratory (ORNL) used their expertise in quantum biology, artificial intelligence, and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
CRISPR is a powerful tool for bioengineering, used to modify genetic code to improve an organism’s performance or to correct mutations. The CRISPR Cas9 tool relies on a single, unique guide RNA.
A San Francisco smoothie startup promised to create customers “one-of-a-kind” recipes, but two months after opening, the store was shuttered.
The shop, BetterBlends, used artificial intelligence to generate custom smoothies based on customer preferences. The company only offered one menu item called “Your Smoothie, powered by AI” and claimed to be “the most personalized restaurant, ever,” according to its site.
WHAT IS ARTIFICIAL INTELLIGENCE (AI)?
The new chips were designed to be less powerful than the models sold in the US, according to sources.
NVIDIA really, really doesn’t want to lose access to China’s massive AI chip market.
NVIDIA really, really doesn’t want to lose access to China’s massive AI chip market. The company is developing three new AI chips especially for China that don’t run afoul of the latest export restrictions in the US, according to The Wall Street Journal and Reuters. Last year, the US government notified the chipmaker that it would restrict the export of computer chips meant for supercomputers and artificial intelligence applications to Russia and China due to concerns that the components could be used for military purposes. That rule prevented NVIDIA from selling certain A100 and H100 chips in the country, so it designed the A800 and H800 chips specifically for the Chinese market.
However, the US government recently issued an updated set of restrictions that puts a limit on how much computing power a chip can have when it’s meant for export to the aforementioned countries. The A800 and the H800 are no longer eligible for export under the new rules, along with NVIDIA’s other products, which include its top-of-the-line RTX 4090 consumer GPU. Some reports even suggest that the company could end up canceling over $5 billion worth of advanced chip orders in China.
The new chips meant for the Chinese market are called the HGX H20, the L20 and the L2, based on the specs sent to distributors. While the H20 is supposed to be the most powerful model out of the three, all of them don’t go beyond the computing power threshold set by the US government’s new export rules. That means customers using them for AI applications may need more chips than they would if they had access to higher-spec models.
Nov 10 (Reuters) — Alphabet’s (GOOGL.O) Google is in talks to invest hundreds of millions of dollars in Character. AI, as the fast growing artificial intelligence chatbot startup seeks capital to train models and keep up with user demand, two sources briefed on the matter told Reuters.
The investment, which could be structured as convertible notes, according to a third source, will deepen the existing partnership Character. AI already has with Google, in which it uses Google’s cloud services and Tensor Processing Units (TPUs) to train models.
Google and Character AI did not respond to requests for comment.
As artificial intelligence (AI) reaches the peak of its popularity, researchers have warned the industry might be running out of training data – the fuel that runs powerful AI systems.
This could slow down the growth of AI models, especially large language models, and may even alter the trajectory of the AI revolution.
But why is a potential lack of data an issue, considering how much there are on the web? And is there a way to address the risk?