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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
Category: robotics/AI – Page 1,584
Dr Renée Deehan — VP, Science & AI, InsideTracker — Evidence-Based And Actionable Wellness Solutions
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.
Dr. Deehan has spent her career working in the precision medicine and personalized nutrition domains, previously serving as the VP of Computational Biology & Translational Informatics at QuartzBio and as the VP of Biology and Bioinformatics at PatientsLikeMe, the world’s largest integrated community, health management, and real-world data platform.
At PatientsLikeMe, Dr. Deehan was responsible for data and knowledge engineering, AI/machine-learning, and translational biology functions that drove infrastructure and consumer & business product development. She was also the Principal Investigator for the DigitalMe Ignite program, which collected longitudinal blood and patient-generated health data from over 5,000 at-home site visits from over 2,000 participants and was able to generate over 2 Million data points from the DigitalMe program.
Dr. Deehan also designed and cross-functionally implemented the first generation of an “advanced research platform”, capable of integrating survey and omics data for biomarker analysis, including ensemble-based machine-learning pipelines. Additionally, they developed an outsourced pipeline to support their wet-lab omics needs (DNA/RNAseq, proteomics, immune sequencing/antibody repertoire analysis, metabolomics, methylomics).
This AI Uses a Scan of Your Retina to Predict Your Risk of Heart Disease
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.
Tesla reportedly places massive order of next-gen self-driving chips with TSMC
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.
Back in 2016, Tesla started building a team of chip architects led by legendary chip designer Jim Keller to develop its own silicon.
The goal was to design a super powerful and efficient chip to achieve self-driving in consumer vehicles without additional hardware like in custom-built autonomous vehicles operated by Waymo and Cruise.
Scientists Created an Artificial Neuron That Actually Retains Electronic Memories
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.
The Man Who’s Building a Computer Made of Brains
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.
Amazon Robot UNVEILED, Warehouse Worker Panic Stirs
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
“What do you call a robotic arm that relies on computer vision, artificial intelligence, and suction cups to pick up items?
In Amazon’s world, it’s called a “Sparrow.”
The tech giant unveiled a robot on Thursday that’s capable of identifying individual items that vary in shape, size, and texture. Sparrow can also pick these up via the suction cups attached to its surface and place them into separate plastic crates.
Sparrow is the first robot Amazon has revealed of its kind and it has the potential to wipe out significant numbers of the company’s warehouse workers.
A breakthrough AI can track real-time cell changes revealing a key mystery in biology
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.
Image jungle/iStock N/A
The study was published in the journal Intelligent Computing.
This AI Supercomputer Has 13.5 Million Cores—and Was Built in Just Three Days
At the time, all this was theoretical. But last week, the company announced they’d linked 16 CS-2s together into a world-class AI supercomputer.
Meet Andromeda
The new machine, called Andromeda, has 13.5 million cores capable of speeds over an exaflop (one quintillion operations per second) at 16-bit half precision. Due to the unique chip at its core, Andromeda isn’t easily compared to supercomputers running on more traditional CPUs and GPUs, but Feldman told HPC Wire Andromeda is roughly equivalent to Argonne National Laboratory’s Polaris supercomputer, which ranks 17th fastest in the world, according to the latest Top500 list.