The skeleton cast of a Titanosaur is now on display at the American Museum of Natural History in New York. The 122-foot (37-meter) dinosaur skeleton is too long to fit in the exhibition hall, so its neck and head poke out toward the elevator banks, offering a surprise greeting when the doors open.
Nice. But I’m more concerned about the jobs that will be lost from this.
#Zoox #youtube #ai #yahoofinance.
This segment originally aired on February 17, 2023.
Zoox CEO Aicha Evans joins Yahoo Finance Live anchors Dave Briggs and Seana Smith to discuss approval of its self-driving auto by the California DMV, the state of the autonomous vehicle industry, and Amazon’s ownership of the company.
Don’t Miss: Valley of Hype: The culture that built Elizabeth Holmes.
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2022 has been a dynamic year for quantum computing. With commercial breakthroughs such as the UK Ministry of Defence (MoD) investing in its first quantum computer, the launch of the world’s first quantum computer capable of advantage over the cloud and the Nobel Prize in Physics awarded for ground-breaking experiments with entangled photons, the industry is making progress.
At the same time, 2022 saw the tremendous accomplishment of the exaflop barrier broken with the Frontier supercomputer. At a cost of roughly $600 million and requiring more than 20 megawatts of power, we are approaching the limits of what classical computing approaches can do on their own. Often for practical business reasons, many companies are not able to fully exploit the increasing amount of data available to them. This hampers digital transformation across areas most reliant on high-performance computing (HPC): healthcare, defense, energy and finance.
A fully-connected annealer extendable to a multi-chip system and featuring a multi-policy mechanism has been designed by Tokyo Tech researchers to solve a broad class of combinatorial optimization (CO) problems relevant to real-world scenarios quickly and efficiently. Named Amorphica, the annealer has the ability to fine-tune parameters according to a specific target CO problem and has potential applications in logistics, finance, machine learning, and so on.
The modern world has grown accustomed to an efficient delivery of goods right at our doorsteps. But did you know that realizing such an efficiency requires solving a mathematical problem, namely what is the best possible route between all the destinations? Known as the “traveling salesman problem,” this belongs to a class of mathematical problems known as “combinatorial optimization” (CO) problems.
As the number of destinations increases, the number of possible routes grows exponentially, and a brute force method based on exhaustive search for the best route becomes impractical. Instead, an approach called “annealing computation” is adopted to find the best route quickly without an exhaustive search.
When Ben Reinhardt was an undergrad at Caltech, he often passed a mural painted on the back of a building on campus. It included a quote from Theodore von Kármán, a scientist and engineer who served as the first director of JPL: “Scientists study the world as it is, engineers create the world that never has been.”
But a recent paper published in Nature described a decline in scientific progress over the last few decades.
Some of the other new scientific institutions experimenting with shaking up the traditional structure of research include Arcadia Institute, based in the Bay Area, which is dedicated to a translational program that, “will provide a unique combination of funding, support, and access to accelerate new product development.”
Alexey Guzey is another leader in this space; he recognized a gap in opportunities for young scientists and initiated New Science, which plans to finance entire labs outside of academia, and turn “the process of doing science into an experiment itself.” For a better overview of all the new types of research organizations, check out Sam Arbesman’s The Overedge Catalog.
I have to admit, it’s very human like. It makes we wonder if the incident if fabricated, but it may also be true.
SOPA images/Getty.
The concept of a conversational chatbot shot to fame with OpenAI’s ChatGPT, which can provide paraphrased answers for users’ detailed queries and write poetry or code with equal ease. Microsoft, which has provided financial support for OpenAI’s work, has incorporated the chatbot into its Bing search engine, providing users with a new way to search for information. The service’s rollout is still slow, with few users getting access. However, their experience has been interesting.
The losses for short-sellers betting against Elon Musk’s electric vehicle company have ballooned to $7.6 billion over the past month, making it the least profitable short position for hedge funds, according to data from S3 Partners.
The swift one-month surge in Tesla stock has wiped out about half of the gains short-sellers made last year betting against the company. At the end of December, short-sellers had made a $15 billion profit in 2022, making Tesla the most profitable short of the year.
Shares of Tesla have been on a rollercoaster following vehicle price cuts and a weaker-than-expected fourth-quarter delivery number. But on the company’s most recent earnings call, Musk reaffirmed the company’s long-term growth target of 50%.
If you ask it the right questions, ChatGPT represents an incredible resource and tool. And people noticed fast — within five days it gained over 1 million users, and now Microsoft is in talks for a potential $10 billion investment in the company.
As a reporter, the hype surrounding the AI tool intrigued me, and a colleague of mine said it’s journalism chops were convincing (though only if you didn’t squint too hard to notice articles were riddle with misinformation).
Knowing that ChatGPT’s database cut off in 2021, I asked it to write a stock market story about trading trends in 2020, and in less than one minute it spat out a 400-word story that mapped out S&P 500 moves, meme stocks, and shares that rallied during the early days of the pandemic.
The results highlight some potential strengths and weaknesses of ChatGPT.
Some of the world’s biggest academic journal publishers have banned or curbed their authors from using the advanced chatbot, ChatGPT. Because the bot uses information from the internet to produce highly readable answers to questions, the publishers are worried that inaccurate or plagiarised work could enter the pages of academic literature.
Several researchers have already listed the chatbot as a co-author in academic studies, and some publishers have moved to ban this practice. But the editor-in-chief of Science, one of the top scientific journals in the world, has gone a step further and forbidden any use of text from the program in submitted papers.
It’s not surprising the use of such chatbots is of interest to academic publishers. Our recent study, published in Finance Research Letters, showed ChatGPT could be used to write a finance paper that would be accepted for an academic journal. Although the bot performed better in some areas than in others, adding in our own expertise helped overcome the program’s limitations in the eyes of journal reviewers.
However, we argue that publishers and researchers should not necessarily see ChatGPT as a threat but rather as a potentially important aide for research — a low-cost or even free electronic assistant.
