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Construct Salesforce applications powered by generative AI using Amazon Bedrock.

Amazon Bedrock, Artificial Intelligence, Generative AI, Intermediate (200), Partner solutions, UncategorizedJuly 30, 202431Views0Likes0Comments
Salesforce Data Cloud and Einstein Model Builder are partnering with Amazon Web Services (AWS) and its Amazon Bedrock service to enable the use of Large Language Models (LLMs) in generative artificial intelligence (AI) applications. This integration was revealed by Salesforce's Daryl Martis and Darvish Shadravan. Salesforce can bring its own LLMs from AWS accounts to…

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The Impact of Marketing Dashboards on the Transformation of the Healthcare Industry

better patient outcomes, blog, healthcare marketing, Marketing, marketing dashboards, marketing strategies, UncategorizedJuly 30, 202432Views0Likes0Comments
The healthcare industry is undergoing a drastic shift thanks to technological advancements with marketing dashboards such as Robotic Marketer playing a pivotal role in this transformation. Marketing dashboards are state-of-the-art tools that condense a range of marketing metrics and data into one interface, enabling healthcare providers to supervise campaigns, scrutinize performance, and make decisions guided…

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Elon Musk shares a video of Kamala Harris discussing AI and politics.

AI risks, Deep fakes, Ethics & Society, UncategorizedJuly 30, 202433Views0Likes0Comments
Elon Musk, the CEO of Tesla and SpaceX, recently posted a video on an unspecified platform mimicking the voice of Kamala Harris, which triggered concerns over the potential influence of AI deep fakes on upcoming US elections. Ironically, Musk is a public supporter of Donald Trump, aiming for re-election and often uses his platform to…

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Opslane: A freely available utility designed to help teams decrease alert weariness, enhance incident resolution and improve team spirits.

AI Startups, Editors Pick, Staff, Tech News, UncategorizedJuly 30, 202433Views0Likes0Comments
Opslane is an open-source tool that is designed to help engineering teams tackle the issue of middle-of-the-night, unactionable alerts that add unnecessary stress to their workloads. This ingenious tool offers a solution to the difficulty faced by on-call engineers in identifying when an issue occurs, understanding its impact on the user, and resolving it swiftly.…

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Stanford’s AI research offers fresh perspectives on AI model breakdown and data gathering.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 30, 202427Views0Likes0Comments
The alarming phenomenon of AI model collapse, which occurs when AI models are trained on datasets that contain their outputs, has been a major concern for researchers. As such large-scale models are trained on ever-expanding web-scale datasets, concerns have been raised about the degradation of model performance over time, potentially making newer models ineffective and…

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Progressing with Precision Psychiatry: Utilizing AI and Machine Learning for Customized Diagnosis, Therapy, and Outcome Prediction.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJuly 30, 202429Views0Likes0Comments
Precision psychiatry combines psychiatry, precision medicine, and pharmacogenomics to devise personalized treatments for psychiatric disorders. The rise of Artificial Intelligence (AI) and machine learning technologies has made it possible to identify a multitude of biomarkers and genetic locations associated with these conditions. AI and machine learning have strong potential in predicting the responses of patients to…

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To enhance the effectiveness of an AI assistant, begin by emulating the unpredictable actions of people.

Algorithms, Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, UncategorizedJuly 30, 202433Views0Likes0Comments
Researchers at MIT and the University of Washington have developed a model that predicts the behavior of an agent (either human or machine) by accounting for unknown computational constraints that might hamper problem-solving abilities. This model, described as an agent's "inference budget", can infer these constraints from just a few prior actions and subsequently predict…

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This small microchip can protect user information and enhance influential computing on a mobile phone.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedJuly 30, 202428Views0Likes0Comments
A team of researchers from the Massachusetts Institute of Technology (MIT) and the MIT-IBM Watson AI Lab have developed a machine-learning accelerator that is resistant to the most common types of cyber attacks. This development could help secure sensitive health records, financial information and other private data while still allowing complicated artificial intelligence (AI) models…

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This small microchip can protect user information while facilitating effective computation on a mobile phone.

Artificial Intelligence, Computer science and technology, Cybersecurity, Data, Electrical Engineering & Computer Science (eecs), Electronics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Privacy, Research, School of Engineering, UncategorizedJuly 30, 202432Views0Likes0Comments
Smartphone health-monitoring apps can be invaluable for managing chronic diseases or setting fitness goals. However, these applications often suffer from slowdowns and energy inefficiencies due to the large machine-learning models they use. These models are frequently swapped between a smartphone and a central memory server, hampering performance. One solution engineers have pursued is the use…

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Julie Shah has been appointed as the leader of the Department of Aeronautics and Astronautics.

Administration, Aeronautical and astronautical engineering, Alumni/ae, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Electrical Engineering & Computer Science (eecs), Faculty, Leadership, MIT Schwarzman College of Computing, Robotics, School of Engineering, UncategorizedJuly 30, 202430Views0Likes0Comments
Julie Shah, the H.N. Slater Professor of Aeronautics and Astronautics, has been appointed as the new leader of the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT), effective from May 1. Shah is renowned for her visionary and interdisciplinary leadership, particularly significant for her technical contributions to robotics and artificial intelligence…

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