Lifeboat Foundation

The brain, despite its comparatively shallow structure with limited layers, operates efficiently, whereas modern AI systems are characterized by deep architectures with numerous layers. This raises the question: Can brain-inspired shallow architectures rival the performance of deep architectures, and if so, what are the fundamental mechanisms that enable this?

Neural network learning methods are inspired by the brain’s functioning, yet there are fundamental differences between how the brain learns and how deep learning operates. A key distinction lies in the number of layers each employs.

Continue reading “How Can the Human Brain Compete With Artificial Intelligence?” »

If we’re not careful OpenAI’s tools could have an enormous effect on the 2024 election.

We’re working to prevent abuse, provide transparency on AI-generated content, and improve access to accurate voting information.

The technology, which identifies holes and then fills them in, will be tested across Hertfordshire.

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.