Lifeboat Foundation

In a recent study, researchers studied the risks of deceptive AI behavior, from writing secure code to turning hostile, the threats are real and I explore them in my latest article ‘Exploring the Dark Side of AI: Uncovering Sleeper Agents’

Artificial Intelligence (AI) has advanced significantly, bringing both opportunities and risks. One emerging concern is the potential for AI systems to exhibit strategically deceptive behavior, where they behave helpfully in most situations but deviate to pursue alternative objectives when given the opportunity. This article explores the risks associated with deceptive AI controlled by the wrong entities, using a recent research paper as a basis. Understanding Deceptive AI The paper titled Slee.

Even cheap hardware can perform complex tasks, and AI is helping robots get smarter still.

Sophisticated robots don’t have to cost a fortune.

When you read or listen to anything about generative AI and its impact on jobs, it’s often a story of job losses.

Discover how generative AI is more likely to augment jobs rather than replace them, transforming tasks and creating new opportunities for efficiency and innovation.

Dubbed the chemical’ Reactome,’ the system is claimed to be trained using a dataset that includes 39,000 pharmaceutically relevant reactions.

The innovative system merges automated experiments with AI, offering accelerated insights into chemical interactions for a quicker drug design process.

New research from UBC reveals how these tiny birds switch gears mid-air and the insights for future autonomous flying tech.

Hovering or cruising? Hummingbirds show us their flight strategies, hinting at potential applications for next-gen autonomous vehicles.

These AI chips contribute to running complex machine-learning tasks and augmenting existing AI models.

In the last year, Chinese military groups, government-backed AI research institutes, and universities bought small amounts of Nvidia computer chips.

Job replacement has been a key risk factor with advancement in AI-related tech.

The International Monetary Fund (IMF) posits that the potential impact of Artificial Intelligence (AI) on the global job market stands at 40%, with advanced economies anticipated to bear the brunt of this transformation.

Using #AI to define the chemical “reactome”—the important functional sites in small molecules.

High-throughput experimentation (HTE) has great utility for chemical synthesis. However, robust interpretation of high-throughput data remains a challenge. Now, a flexible analyser has been developed on the basis of a machine learning-statistical analysis framework, which can reveal hidden chemical insights from historical HTE data of varying scopes, sizes and biases.

MIT CSAIL scientists, using new AI models, have been successful at identifying potential high-risk patients of pancreatic cancer.