Lifeboat Foundation

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GPT-4 is about to be released to the public and is supposedly close to what some may consider Artificial General Intelligence. In this video, I’ll talk all about the possible applications and abilities which GPT4 will have.
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TIMESTAMPS:
00:00 Passing the Turing Test.
02:41 Why such a big Secret?
03:58 What is GPT-4 going to be?
06:32 Last Words.
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#ai #gpt4 #openai

Evidence-Based And Actionable Health, Wellness And Longevity Solutions — Dr. Renee DeHaan, Ph.D. — VP, Science & AI, InsideTracker

Dr. Renée Deehan, Ph.D. is the VP of Science & Artificial Intelligence at InsideTracker (https://www.insidetracker.com/), and leads a science team that builds and mines the world’s largest data set of blood, DNA, fitness tracking and phenotypic data from healthy people, creating evidence-based solutions that are simple, clear, and actionable.

Continue reading “Dr Renée Deehan — VP, Science & AI, InsideTracker — Evidence-Based And Actionable Wellness Solutions” »

They then used QUARTZ to analyze retinal images from 7,411 more people, these aged 48 to 92, and combined this data with information about their health history (such as smoking, statin use, and previous heart attacks) to predict their risk of heart disease. Participants’ health was tracked for seven to nine years, and their outcomes were compared to Framingham risk score (FRS) predictions.

A common tool for estimating heart disease risk, the FRS looks at age, gender, total cholesterol, high density lipoprotein cholesterol, smoking habits, and systolic blood pressure to estimate the probability someone will develop heart disease within a given span of time, usually 10 to 30 years.

The QUARTZ team compared their data to 10-year FRS predictions and said the algorithm’s accuracy was on par with that of the conventional tool.

Those who follow Elon closely will notice that he is always trying to save a buck. For example, the AI chips used in current Teslas were made by Samsung instead of TSMC to save money. (TSMC makes the best chips but they are also the most expensive.) Another example of Elon saving money would be the mass layoffs at Twitter.

Well, it looks like Elon is really trying to get Full Self-Driving working and has decided that the next generation of FSD chips will be made by TSMC. He placed an order that is so big that Tesla will be the 7th largest customer of TSMC next year. He is going for 4/5 nm chips compared to the 14 nm chips he is using today.

Tesla has reportedly placed a massive order of chips for its next-gen Full Self-Driving (FSD) computer with Taiwan’s TSMC. The order is so large that it might make Tesla one of TSMC’s biggest customers.

Continue reading “Tesla reportedly places massive order of next-gen self-driving chips with TSMC” »

The human brain is incredible.

Despite consuming the equivalent of just two bananas per day, this doesn’t stop it from executing unconscionably complex tasks with impressive efficiency. But a team of researchers has designed a way to build a prototype of an artificial neuron made of unbelievably thin graphene slits housing a single layer of water molecules, according to a new study published in the journal Science.

Circa 2016 😗

Last month, Google’s AI division, DeepMind, announced that its computer had defeated Europe’s Go champion in five straight games. Go, a strategy game played on a 19×19 grid, is exponentially more difficult for a computer to master than chess—there are 20 possible moves to choose from at the start of a chess game compared to 361 moves in Go—and the announcement was lauded as another landmark moment in the evolution of artificial intelligence.

Or, at least, living neurons. His startup, Koniku, which just completed a stint at the biotech accelerator IndieBio, touts itself as “the first and only company on the planet building chips with biological neurons.” Rather than simply mimic brain function with chips, Agabi hopes to flip the script and borrow the actual material of human brains to create the chips.

Elon Musk has been touting Tesla’s FSD Beta v11 for some time now, and it’s finally here. He says it will be ready for wide rollout before the end of 2022.

Amazon unveils its newest warehouse robotic arm that utilizes artificial intelligence, which proves a terrifying possibility for Amazon warehouse workers to be easily replaced. John Iadarola and Jessica Burbank break it down on The Damage Report.

Amazon’s new robot should strike fear into its hundreds of thousands of warehouse workers — https://www.businessinsider.com/amazon-released-warehouse-ro…022-11

Continue reading “Amazon Robot UNVEILED, Warehouse Worker Panic Stirs” »

The study shows how deep learning can be used to detect cell image analysis.

Researchers have found a way to observe cell samples to study morphological changes — or the change in form and structure — of cells. This is significant because cells are the basic unit of life, the building blocks of living organisms, and researchers need to be able to observe what could influence the parameters of cells, such as size, shape, and density.

Conventionally, cell samples were observed directly through microscopes by scientists to observe and discover any changes of the cells. They would look for morphological changes in the cell structures.

Continue reading “A breakthrough AI can track real-time cell changes revealing a key mystery in biology” »