Devin comes with some advanced capabilities in software development, including coding, debugging, problem-solving, etc. Here’s all you need to know about it.
Coral.ai @raspberrypi =???Raspberry Pi 4 👉 https://amzn.to/3SBCRW0Coral AI USB Accelerator 👉 https://amzn.to/3SBGrzMRaspberry Pi Camera V3 Module 👉 https…
A machine learning pipeline named ARTEMIS captures how the landscape of repeat genomic sequences shifts in patients with cancer, and could facilitate earlier detection and monitoring of tumor progression.
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ARTEMIS is a new approach to characterizing genome-wide repeat elements in cancer and cell-free DNA.
Apple acquired Canada-based company DarwinAI earlier this year to build out its AI team, reports Bloomberg. DarwinAI created AI technology for inspecting components during the manufacturing process, and it also had a focus on making smaller and more efficient AI systems.
DarwinAI’s website and social media accounts have been taken offline following Apple’s purchase. Dozens of former DarwinAI companies have now joined Apple’s artificial intelligence division. AI researcher Alexander Wong, who helped build DarwinAI, is now a director in Apple’s AI group.
Devin, SIMA, Figure 1, all in 24 hours. What does it mean and are AI models taking the wheel? I’ll go through 5 relevant papers and 11 articles to get you all the relevant details, from what exactly Devin accomplished, and didn’t, to DeepMind’s new AGI-attempt-in-3D (SIMA) to just how far AI agents have come and what that means for the future of jobs. They’ll also be a guest star … discussing … me?
AI Insiders [Exclusive videos, Discord, Interviews and More]: / aiexplained.
Devin: https://www.cognition-labs.com/blog.
Devin YT: • AI trains an AI!
SWE-bench: https://arxiv.org/pdf/2310.06770.pdf.
Cognition Twitter: / with_replies.
Reality Check: / 1768056098995814836
Karpathy Tweet: / 1767598414945292695
Bloomberg: https://www.bloomberg.com/news/articl…
Chollet Prediction: / 1767935813646716976
https://magic.dev/
SIMA: https://deepmind.google/discover/blog…
SIMA Paper: https://storage.googleapis.com/deepmi…
MobileAgent: https://arxiv.org/pdf/2401.16158.pdf.
OpenAI Agent: https://www.theinformation.com/articl…
Red Dead Redemption AI: https://arxiv.org/pdf/2403.03186.pdf.
RT-X: https://deepmind.google/discover/blog…
Figure 1 Hz: / 1767928771875868677
MasterPlan: https://www.figure.ai/master-plan.
Unit Cost: https://www.cnbc.com/2024/02/29/robot…
MMMU: https://arxiv.org/pdf/2311.16502.pdf.
https://github.com/MMMU-Benchmark/MMMU
Jeff Clune Tweet: / 1768320487627579466
Semianalysis: https://www.semianalysis.com/p/ai-dat…
Huang AGI Quote: https://www.reuters.com/technology/nv…
Altman Quote: https://www.marketingaiinstitute.com/.…
US Govt Report: https://twitter.com/jeffclune?ref_src…
AI Insiders: / aiexplained.
Intel wants to stay ahead of the performance game in the PC chip market, a throne that it often used to sit on before AMD and Apple’s new chips blew it out of the competition. But now it has again solidified its hold on the desktop performance crown with the release of its new Core i9-14900KS processor.
Launching it as a “special edition” release, the new chip represents a massive jump from last year’s top performer, Intel’s Core i9-13900KS. What is its top clock speed? Well out-of-the-box, it hits a maximum clock speed of 6.2GHz. This makes it the undisputed fastest consumer-grade desktop processor currently available.
These small particles that look like dust to the naked eye are highly detailed and can be customized to suit a wide variety of needs ranging from microfluidics to vaccine delivery and even microelectronics, a press release has said.
3D printing or additive manufacturing at a macroscale level has matured at the market level, where items like shoes, hearing aids, and even household goods can be made using this technique.
A new type of solar cell made using selenium and silicon could offer a cost advantage while also delivering energy conversion efficiency.
The results highlight the potential of using whole liver perfusion systems to evaluate early stage AAV-based therapies.
“Viruses, infections, and pandemics have become recurrent features in our lives, profoundly impacting human existence and even extending their reach to animals. Despite this, accessible, rapid, and affordable virus detection methods have been lacking,” said Xingcai Zhang, PhD, researcher, Harvard University, told GEN. “Our study aims to visualize viral infection states, predict infection duration, unravel the infection process, explore inhibition methods, and contribute to understanding viral disease transmission and pathogenesis.”
Viral infection of cells causes stress resulting in cell morphology differences over time. This study leveraged those known morphological changes to discern between infected and non-infected cells in culture. The standard practice for identifying infected cells, the methyl thiazolyl tetrazolium (MTT) assay, requires the use of reagent treatments and chemical reactions which can take upwards of 40 hours per sample, which is destroyed in the process.
The method proposed in this paper uses a lensless light diffraction platform to detect diffraction patterns, which can be used to extract information such as contrast and inverse differential moment which are used to create diffraction fingerprints. The fingerprints can be monitored continuously in the same samples as there is no inherent damage to cells.