AssemblyAI

AUGUST 27, 2023

This AI startup is growing quickly thanks to industry-best accuracy, an easy-to-use interface, and cutting-edge AI models such as Speaker Diarization , Topic Detection, Entity Detection , Automated Punctuation and Casing , Content Moderation , Sentiment Analysis , Text Summarization , and more.

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Heartbeat

APRIL 4, 2023

as nn import torchvision.models as models device = torch.device("cuda" if torch.cuda.is_available() else "cpu") # Load the VGG-19 CNN vgg = models.vgg19(pretrained=True).features features # Set the device to run on vgg.to(device) We can load the VGG-19 CNN using the following python code: import torch import torch.nn

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IBM Journey to AI blog

DECEMBER 15, 2023

The diversity and accessibility of open-source AI allow for a broad set of beneficial use cases, like real-time fraud protection, medical image analysis, personalized recommendations and customized learning. As of this writing, tech giants are divided in opinion on the topic (this link resides outside of IBM).

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Flipboard

AUGUST 7, 2023

As chatbots become more sophisticated, however, they may inadvertently help individuals with malicious intent to upskill on topics that empower them to do harm. As biological design tools become more powerful, they will enable many beneficial advances like the creation of new medications based on novel proteins or designer viruses.

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Smart Data Collective

DECEMBER 13, 2022

What devices are they signing in from? Visual representation of ideas and concepts helps learners to memorize and understand them better, which is extremely beneficial for medical students, for example. This assists in understanding why a segment of the audience responds more to a set of courses. Is it a web or a mobile version?

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PyImageSearch

JANUARY 2, 2023

It has enormous potential to be mined and analyzed to facilitate better and more personalized care, reduce medical errors, and enable earlier disease diagnoses. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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Pickl AI

JULY 20, 2023

NLP techniques help extract insights, sentiment analysis, and topic modeling from text data. 9. Healthcare Analytics Projects: Healthcare analytics focuses on using data to improve patient outcomes, optimize healthcare operations, and support medical research.

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Towards AI

APRIL 30, 2024

What happened this week in AI by Louie Our focus this week was on real-world testing and fine-tuning of LLama-3 and Phi-3, as well as some exciting progress in medical AI. This week, in medical AI, we were excited to see the release of Med-Gemini, a fine-tuned multimodal model built on the Gemini-1.0/1.5 billion parameters.

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Ocean Protocol

AUGUST 23, 2023

John noted down statistics such as: The number of deaths The mortality rate among age groups The causes of death By this seemingly mundane tallying, he revolutionized how we use medical data and human organization records to this day. Data became even more widely available to everyone with access to a computer or mobile device.

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DrivenData Labs

JANUARY 22, 2024

One way to analyze clinical notes is to identify and label the portions of each note that correspond to specific medical concepts. This process is called entity linking because it involves identifying candidate spans in the unstructured text (the entities) and linking them to a particular concept in a knowledge base of medical terminology.

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IBM Journey to AI blog

APRIL 26, 2024

One area that has not seen much innovation is at the far edge and on constrained devices. We see some versions of AI apps running locally on mobile devices with embedded language translation features, but we haven’t reached the point where LLMs generate value outside of cloud providers. Is hybrid AI the answer?

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Dataconomy

APRIL 27, 2023

Examples of specialized AI computers include DeepMind’s AlphaGo (a system that defeated the world champion of Go), Boston Dynamics’ Spot (a four-legged robot that can navigate complex terrains), and IBM’s Watson Health (a system that can analyze medical data and provide diagnosis and treatment recommendations).

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Smart Data Collective

OCTOBER 3, 2023

You can use augmented reality, such as in medical schools, to show 3D models of digestive systems or hearts. Access to research sources allows teachers to encourage students to expand their knowledge and write about topics they’re interested in. Another option is to take students on digital field trips using VR headsets.

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The MLOps Blog

APRIL 20, 2023

In this blog post, I’ll share my own experiences and the hard-won insights I’ve gained from designing, building, and deploying cutting-edge CV models across various platforms like cloud, on-premise, and edge devices. So if you have such prerequisites around your data, on-premise deployment may be the way to go for you.

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PyImageSearch

NOVEMBER 6, 2023

You’ll also appreciate the pivotal role of image segmentation in various applications, from medical imaging to autonomous driving, and how U-Net stands out as a beacon in this domain. Device Configuration ( DEVICE ): On Line 24 , we determine the device for training and testing the model. The config.py

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PyImageSearch

MARCH 13, 2023

self-driving , quality assurance , medical imaging , fashion , satellite imaging , etc.). Use GPU if available device = torch.device("cuda" if torch.cuda.is_available() else "cpu") model.to(device) to(device), mask_labels=[labels.to(device) device) for labels in batch["mask_labels"]], class_labels=[labels.to(device)

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AWS Machine Learning Blog

APRIL 19, 2023

In a real-world scenario, features related to cardholder spending patterns would only form part of the model’s feature set, and we can include information about the merchant, the cardholder, the device used to make the payment, and any other data that may be relevant to detecting fraud. The application is written using Apache Flink SQL.

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AssemblyAI

MAY 23, 2023

A language model can be fine-tuned on medical documents for specialized tasks in the medical field. However, it's important to note that LMs don't store information like standard computer storage devices (hard drives). Neural Networks and Transformers What determines a language model's effectiveness?

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Mlearning.ai

AUGUST 6, 2023

Getting a foot into the door I received my first permanent role (subject to 6 months probation) as a Machine Learning Engineer at a Chinese AI start-up that works with medical images, after getting through three rounds of interviews. Do we really need to use ML, or can some rule-based approach work just as well?

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Google Research AI blog

JANUARY 18, 2023

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. accuracy on US Medical License Exam questions ( MedQA ), surpassing the prior ML state-of-the-art by over 17%. These are complex topics to grapple with.

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The MLOps Blog

MARCH 12, 2024

Bringing it all together: An LLMOps use case In this section, you will learn how to introduce LLMOps best practices and components to your projects using the example of a RAG system providing information about health and wellness topics. to ingest data from health forums, medical journals, and wellness blogs.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

Instance Type Max Input Len Per Device Batch Size Int8 Quantization Enable FSDP Time Taken (mins) ml.g4dn.12xlarge Instance Type Max Input Len Per Device Batch Size Int8 Quantization Enable FSDP Time Taken (mins) ml.g4dn.12xlarge Instance Type Max Input Len Per Device Batch Size Int8 Quantization Enable FSDP Time Taken (mins) ml.g4dn.12xlarge

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Dataconomy

SEPTEMBER 20, 2023

The impact of using ChatGPT on medical publishing practices is currently unknown, but it has the potential to have substantial ethical implications. However, I can offer a general overview and analysis of the topic “Dogs As a Diagnostic Tool for Ill Health in Humans” by Wells, Deborah L.,

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Mlearning.ai

MAY 23, 2023

Apart from that, TensorFlow supports both GPU and CPU computing devices. Consider the example of medical testing, the TPR represents the rate at which people are correctly tested positive for a particular disease. Also, TensorFlow has a fast compilation speed as compared to Keras and Torch (other famous deep learning libraries).

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Hacker News

FEBRUARY 2, 2023

The closest it gets is a chapter on CP violation (AKA time-reversal violation)—a longtime favorite topic of mine—but from a very particle-physics point of view. The physicists I was around mostly weren’t too interested in such topics—though Richard Feynman was something of an exception. No statistical mechanics. SMP Version 1.0

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Their use cases span various domains, from media entertainment to medical diagnostics and quality assurance in manufacturing. to(device)) else: predictor = D.SamPredictor(D.build_sam(checkpoint=sam_checkpoint).to(device)) to(device)) image = cv2.imread(image_path) Please explain the main clinical purpose of such image?Can

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Snorkel AI

SEPTEMBER 12, 2023

The two held a wide-ranging conversation covering topics including what it was like to be the first U.S. How might AI impact things like medical treatments, drug clinical trial design, cancer treatments, and pandemic response strategies? A lot of people say, “hey, give them a wearable device, give them something fancy.”

Data Scientist 59

Data Scientist Data Science AI AI 59

Snorkel AI

SEPTEMBER 12, 2023

The two held a wide-ranging conversation covering topics including what it was like to be the first U.S. How might AI impact things like medical treatments, drug clinical trial design, cancer treatments, and pandemic response strategies? A lot of people say, “hey, give them a wearable device, give them something fancy.”

Data Scientist 59

Data Scientist Data Science AI AI 59

The MLOps Blog

MARCH 21, 2023

Embedded inference The ML service runs an embedded function that serves models on an edge device or embedded system. This requires integration with components like APIs, edge devices, databases, microservices, etc. Find other resources to help you dig deeper into this topic below: MLOps Architecture Guide.

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Google Research AI blog

JANUARY 24, 2023

Shortcut learning: Age impacts correct medical diagnosis. For example, we look to external communities to guide understanding of when and why our evaluations fall short using participatory systems , which explicitly enable joint ownership of predictions and allow people to choose whether to disclose on sensitive topics.

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