Genetic conditions like Dravet syndrome are hard to tackle with traditional gene therapy. But new approaches are in the works.
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Jetson/YouTube.
The company’s mission is “to make the skies available for everyone with our safe personal electric aerial vehicle,” and this futuristic vehicle does just that.
In the realm of computing, information is usually perceived as being represented by a binary system of ones and zeros. However, in our everyday lives, we use a decimal system consisting of ten digits to represent numbers. For instance, the number 9 in binary is represented as 1,001, requiring four digits instead of just one in the decimal system.
Today’s quantum computers have emerged from the binary system, but the physical systems that encode their quantum bits (qubits) have the capability to encode quantum digits (qudits) as well. This was recently demonstrated by a team headed by Martin Ringbauer at the University of Innsbruck’s Department of Experimental Physics. According to experimental physicist Pavel Hrmo at ETH Zurich: “The challenge for qudit-based quantum computers has been to efficiently create entanglement between the high-dimensional information carriers.”
In a study published on April 19, 2023, in the journal Nature Communications.
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Physicists measure and control electron release from metals in the attosecond range.
By superimposing two laser fields of different strengths and frequency, the electron emission of metals can be measured and controlled precisely to a few attoseconds. Physicists from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), the University of Rostock and the University of Konstanz have shown that this is the case. The findings could lead to new quantum-mechanical insights and enable electronic circuits that are a million times faster than today.
Light is capable of releasing electrons from metal surfaces. This observation was already made in the first half of the 19th century by Alexandre Edmond Becquerel and later confirmed in various experiments, among others by Heinrich Hertz and Wilhelm Hallwachs. Since the photoelectric effect could not be reconciled with the light wave theory, Albert Einstein came to the conclusion that light must consist not only of waves, but also of particles. He laid the foundation for quantum mechanics.
As highlighted in a recent article, the release of ChatGPT in its various guises, along with numerous other generative AI-based technologies, has heralded a flurry of articles, studies, and headlines lauding the often catastrophic impact such technologies will have on jobs and society more broadly.
It’s the kind of simplistic and often doom-laden narrative that so often thrives on social media. As Greg Berman and Aubrey Fox remind us in their recent book Gradual, however, change seldom happens rapidly and almost never happens in such a linear fashion.
The study surveyed executives from 200 large companies and found that while most recognized the importance of new technologies, many were unrealistic about their ability to transform their businesses. The survey revealed that companies that took a more measured and realistic approach to technology adoption tended to be more successful.
Overall, these studies suggest that technological predictions are often overly optimistic and that many new technologies fail to meet their initial expectations.
So while many technologies are portrayed as being rapidly adopted, the reality is usually very different. The challenges are perhaps best summed up by Daniel Patrick Moynihan, who famously remarked that when considering change, “we constantly underestimate difficulties, overpromise results, and avoid any evidence of incompatibility and conflict, thus repeatedly creating the conditions of failure out of our desperate need for success.”
OpenAI’s Chat GPT3 has advanced more rapidly than any application In the history of the internet. In just five days, it has surpassed one million users compared to Instagram taking 2.5 months, Facebook at 10 months and Netflix 3.5 years.
Microsoft is staking its future growth by optimizing its Bing search engine, with its own intelligent chat capabilities, based on large language model touted as more powerful that ChatGPT3.
Hedging its bet on generative AI, Microsoft has also made a major investment in OpenAI with a $10B investment.
This article discusses Microsoft Staking its Future on Generative AI and Chat bots.
Over half (53.3%) of data scientists and engineers say they plan to deploy large language model (LLM) applications into production in the next 12 months or “as soon as possible” Learn more about why and how this massive retooling is happening — and how enterprises can be ready.
I’ve got two questions for you that you’ve undoubtedly generically heard of before. Prepare yourself mentally. First, have we hit the wall? Second, does size matter? Both of those questions have deeply entered into the behind-the-scenes news about the latest in generative AI.
Generative AI is the type of Artificial Intelligence (AI) that can generate various outputs by the entry of text prompts. You’ve likely used or known about ChatGPT by AI maker OpenAI which allows you to enter a text prompt and get a generated essay in response, referred to as a text-to-text or text-to-essay style of generative AI, for my analysis of how this works see the link here.
A recent remark by the OpenAI CEO has brought to the fore an ongoing debate whether generative AI such as ChatGPT is nearing a wall and getting bigger won’t make a difference. Here’s the inside scoop on that hefty debate.
The push for the smartest web browser is officially on. Just a month after Microsoft announced an AI-powered version of its search engine Bing, Google has announced it will be also be adding AI functionality to allow users to interact with it in more human ways. Right now, the substance of the announcement is all speculation. There is no known release date (yet) for its AI-powered engine, and no specific AI model has been chosen. Still, Google, which has invested billions on AI in just the past few years, is throwing its hat in the ring as a clear sign that the race for AI leadership is far from over. Its recent announcement merging its DeepMind and Brain divisions further reiterates that.
The addition of Generative AI capabilities to Google Search will be critical if Google intends to remain the top search engine globally. And while there are more questions than answers at this time, Google is going to be adding conversational to its search platform and it should be well received.
Quasars are the most radiant and powerful objects in the entire universe, but nobody knew how they were triggered—until now.