Transfer Learning Archives

June 11, 2024

Innovative AI Approach to Accurately Detect Various Cancer Types in Whole-Body Scans

A recent study presented at the 2024 Annual Meeting of the Society of Nuclear Medicine and Molecular Imaging has introduced a groundbreaking AI approach for the detection and categorization of cancer in whole-body PET/CT scans. This novel method demonstrates high accuracy in identifying six different types of cancer and may be pivotal in improving patient prognosis, treatment response prediction, and survival assessment.… Read the rest

June 10, 2024

Exploring the Limits of AI’s Textual Training Data

AI Researchers Face a Data Dilemma
As artificial intelligence continues to evolve, it relies heavily on vast quantities of human-generated textual data. The progression we’ve witnessed in language models has been extraordinary, with applications tapping into billions of words from the web.… Read the rest

June 7, 2024

AI Language Models Face Potential Data Shortage in Training Resources

A new age of information consumption is on the horizon, as AI systems similar to ChatGPT are predicted to exhaust the trillions of words available on the internet within the coming decade. Epoch AI, a research group, estimates that publicly available training data for AI language models could run out between 2026 and 2032.… Read the rest

May 23, 2024

Baidu CEO Envisions a Decade Away from Advanced AI

Artificial General Intelligence (AGI), a futuristic AI concept, is not around the corner, according to Robin Li, the co-founder and CEO of China’s internet giant Baidu. During a panel discussion at Viva Tech Paris, Li expressed his belief that we are at least a decade away from achieving AGI, which is an AI system that could surpass human cognitive abilities.… Read the rest

May 16, 2024

Revolutionizing AI: MIT’s Approach to Human-Like Reasoning in Machines

Scientists Innovate AI to Think More Humanely
Pioneers from the Massachusetts Institute of Technology (MIT) have made a significant leap in artificial intelligence by enabling machines to perform complex problem-solving tasks. They’ve pioneered a new framework that enhances AI capabilities across coding, strategy formulation, and robotics.… Read the rest

May 12, 2024

AI Tool Predicts Cancer Treatment Outcomes Using Single-Cell Sequencing Data

An artificial intelligence (AI) tool developed by National Institutes of Health (NIH) researchers heralds a new era in cancer treatment by using high-resolution single-cell RNA sequencing to better tailor therapies to individual patients. Understanding that tumors consist of diverse cell subpopulations, the tool capitalizes on this cellular heterogeneity to forecast how a patient’s cancer might react to specific drugs.… Read the rest

May 4, 2024

The Accelerating Advance of Artificial Intelligence

Artificial intelligence (AI) may surpass human capabilities sooner than expected, according to a recent survey of AI researchers. These experts have predicted the advent of machines that can outperform humans in all tasks by the year 2116, 48 years earlier than previous estimates.… Read the rest

April 28, 2024

Apple Launches Open Source AI Language Models OpenELM

Apple’s strategic innovation in AI technology has led to the introduction of OpenELM, a suite of open-source language models designed for on-device operation rather than relying on cloud servers. Unveiled on April 25th, these open-source models signal a significant move by the tech giant.… Read the rest

April 24, 2024

The Conundrum of AI Training Data and Future Implications

Intellectual Property and Data Scarcity Concerns in AI Training
Questions regarding the legitimacy of data usage and adherence to copyright laws by companies training AI models are becoming increasingly prevalent. Legal actions are currently underway to determine proper future practices in this realm to avoid harm to any parties involved.… Read the rest

April 20, 2024

Revolutionary AI Tool Predicts Cancer Treatment Outcomes at Single-Cell Level

Research conducted by Sanford Burnham Prebys has led to the development of an AI-based method named ‘PERCEPTION’ designed to predict patient responses to cancer treatments with single-cell precision. By analyzing the complexities of cellular transcriptomics, ‘PERCEPTION’ delves into the molecular structures and messenger RNA behavior, enhancing the understanding of tumor biology to an unprecedented level.… Read the rest