Lifeboat Foundation

Deep Learning (DL) advances have cleared the way for intriguing new applications and are influencing the future of Artificial Intelligence (AI) technology. However, a typical concern for DL models is their explainability, as experts commonly agree that Neural Networks (NNs) function as black boxes. We do not precisely know what happens inside, but we know that the given input is somehow processed, and as a result, we obtain something as output. For this reason, DL models can often be difficult to understand or interpret. Understanding why a model makes certain predictions or how to improve it can be challenging.

This article will introduce and emphasize the importance of NN explainability, provide insights into how to achieve it, and suggest tools that could improve your DL model’s performance.

Artificial intelligence is no longer a futuristic idea. It’s already here, and it has turned out to be a powerful, disruptive force in healthcare fueling some of the most innovative diagnostic tools of today.

Let’s take a look at 7 examples where AI has started to transform healthcare!

That is the way to learn the most, that when you are doing something with such enjoyment that you don’t notice that the time passes.

March 13 (Reuters) — BuzzFeed Inc (BZFD.O) said on Monday that most of its cash and cash equivalents were held at Silicon Valley Bank (SIVB.O), which was shut down last week.

The digital media firm said it had about $56 million in cash and cash equivalents at the end of 2022.

Startup-focused lender SVB Financial Group last week became the largest bank to fail since the 2008 financial crisis, sending shockwaves through the global financial system and prompting regulators to step in to contain the fallout.

Year 2014 face_with_colon_three If black holes have infinitely small sizes and infinitely density this also means that string theory would also solve the infinitely small problem because now we know that infinitely small sizes exist and if that exists then so does infinite energy from super string essentially filling out the rest of the mystery of the God equation. This means that computers could be infinitely small aswell saving a ton of space aswell.

If you’ve wondered how big is a black hole? then you’ve come to the right place! Learn about the sizes of black holes and the multi-layered answer.

FallenKingdomReads’ list of The Top 5 Science Fiction Books That Explore the Ethics of Cloning.

Cloning is a topic that has been explored in science fiction for many years, often raising questions about the ethics of creating new life forms. While the idea of cloning has been discussed in various forms of media, such as movies and TV shows, some of the most interesting and thought-provoking discussions on the topic can be found in books. Here are the top 5 science fiction books that explore the ethics of cloning.

Alastair Reynolds’ House of Suns is a space opera that explores the ethics of cloning on a grand scale. The book follows the journey of a group of cloned human beings known as “shatterlings” who travel the galaxy and interact with various other sentient beings. The book raises questions about the nature of identity and the value of individuality, as the shatterlings face challenges that force them to confront their own existence and the choices they have made.

Its Up!

We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%. We’ve spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails.

Over the past two years, we rebuilt our entire deep learning stack and, together with Azure, co-designed a supercomputer from the ground up for our workload. A year ago, we trained GPT-3.5 as a first “test run” of the system. We found and fixed some bugs and improved our theoretical foundations. As a result, our GPT-4 training run was (for us at least!) unprecedentedly stable, becoming our first large model whose training performance we were able to accurately predict ahead of time. As we continue to focus on reliable scaling, we aim to hone our methodology to help us predict and prepare for future capabilities increasingly far in advance—something we view as critical for safety.

Continue reading “GPT-4” »

The Big Bang may have not been alone.

The Big Bang may not have been alone. The appearance of all the particles and radiation in the universe may have been joined by another Big Bang that flooded our universe with dark matter particles. And we may be able to detect it.

Continue reading “A Second Big Bang May Have Flooded the Universe With Dark Matter” »

Dr. Emily Rice, an Associate Professor of Astrophysics at the Macaulay Honors College of CUNY and resident research associate in the Department of Astrophysics at the American Museum of Natural History (AMNH), is one of the keynote speakers at the TEDxCUNY conference to be hosted on March 10, 2023.

Dr. Rice is extremely involved in the scientific community through her role as a researcher and professor. Dr. Rice co-founded the research group Brown Dwarfs in New York City (BDNYC) with Dr. Kelle Cruz from CUNY Hunter College and Dr. Jackie Faherty from AMNH. Brown Dwarfs are objects that have masses between giant exoplanets and low mass stars. Dr. Rice explained there was a lot about Brown Dwarfs that scientists were yet to explore and understand.

“The three of us started this research group following a small project we had collaborated on,” Dr. Rice said. In 2010, Dr. Cruz had started their work with Hunter College, Dr. Rice was wrapping up her postdoctoral work, and Dr. Faherty was finishing up graduate school. “We all happened to be in New York City at the time, and we were all working with Brown Dwarfs, so we decided to create a research group focused on these substellar objects,” Dr. Rice remarked.