Artificial Intelligence (AI)
FunSearch: Making new discoveries in mathematical sciences using Large Language Models
Research Published 14 December 2023 Authors Alhussein Fawzi and Bernardino Romera Paredes By searching for “functions” written in computer code, FunSearch made the first discoveries in open problems in mathematical sciences using LLMs Update: In December 2024, we published a report on arXiv showing how our method can be used to amplify human performance in…
Can deep learning transform heart failure prevention?
The ancient Greek philosopher and polymath Aristotle once concluded that the human heart is tri-chambered and that it was the single most important organ in the entire body, governing motion, sensation, and thought. Today, we know that the human heart actually has four chambers and that the brain largely controls motion, sensation, and thought. But…
Tufa Labs Introduced LADDER: A Recursive Learning Framework Enabling Large Language Models to Self-Improve without Human Intervention
Large Language Models (LLMs) benefit significantly from reinforcement learning techniques, which enable iterative improvements by learning from rewards. However, training these models efficiently remains challenging, as they often require extensive datasets and human supervision to enhance their capabilities. Developing methods that allow LLMs to self-improve autonomously without additional human input or large-scale architectural modifications has…
Age-Inclusive AI: Ethical Innovation & Fairness Guide for Seniors
The rapid advancement of artificial intelligence (AI) in healthcare and senior care presents a critical challenge: ensuring fairness and inclusivity for older adults. As AI systems increasingly impact the lives of seniors, we must confront the ethical implications and potential biases that could disadvantage this vulnerable population. The stakes are high – with global populations…
Nearly 80% of Training Datasets May Be a Legal Hazard for Enterprise AI
A recent paper from LG AI Research suggests that supposedly ‘open’ datasets used for training AI models may be offering a false sense of security – finding that nearly four out of five AI datasets labeled as ‘commercially usable’ actually contain hidden legal risks. Such risks range from the inclusion of undisclosed copyrighted material to…
2023: A Year of Groundbreaking Advances in AI and Computing
Company Published 22 December 2023 Authors By Jeff Dean, Chief Scientist, Google DeepMind & Google Research, Demis Hassabis, CEO, Google DeepMind, and James Manyika, SVP, Google Research, Technology & Society This has been a year of incredible progress in the field of Artificial Intelligence (AI) research and its practical applications. As ongoing research pushes AI…
Like human brains, large language models reason about diverse data in a general way
While early language models could only process text, contemporary large language models now perform highly diverse tasks on different types of data. For instance, LLMs can understand many languages, generate computer code, solve math problems, or answer questions about images and audio. MIT researchers probed the inner workings of LLMs to better understand how they…
Researchers from FutureHouse and ScienceMachine Introduce BixBench: A Benchmark Designed to Evaluate AI Agents on Real-World Bioinformatics Task
Modern bioinformatics research is characterized by the constant emergence of complex data sources and analytical challenges. Researchers routinely confront tasks that require the synthesis of diverse datasets, the execution of iterative analyses, and the interpretation of subtle biological signals. High-throughput sequencing, multi-dimensional imaging, and other advanced data collection techniques contribute to an environment where traditional,…
When Did The Sandwich Generation Get Squeezed? – Hanh Brown
Welcome to the high-wire act of the Sandwich Generation, where professionals attempt the death-defying feat of balancing a career while simultaneously caring for aging parents and raising children. If you’ve ever found yourself on a conference call while scheduling a doctor’s appointment for your mother and helping your kid with algebra homework, congratulations! You’ve officially…
Denis Ignatovich, Co-founder and Co-CEO of Imanda – Interview Series
Denis Ignatovich, Co-founder and Co-CEO of Imandra, has over a decade of experience in trading, risk management, quantitative modeling, and complex trading system design. Before founding Imandra, he led the central risk trading desk at Deutsche Bank London, where he recognized the critical role AI can play in the financial sector. His insights during this…