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Building AGI Not as a Monolith, but as a Federation of Specialised Intelligences

A theory about human intelligence formulated over four decades ago could provide the way for artificial general intelligence, ...

Mira Murati’s Thinking Machines Lab says AI should be consistent: “Same input, same output…”

Thinking Labs, led by Mira Murati, is tackling nondeterminism in large language models, aiming for consistent outputs regardless of server load. Researchers believe current LLMs like ChatGPT and ...

Q&A: Transparency in medical AI systems is vital, researchers say

While debate rumbles about how generative artificial intelligence will change jobs, AI is already altering health care. AI ...

Caution in Contracting for AI Services

AI services contracts differ from traditional SaaS because they must grapple with evolving models, uncertain outputs, ...

Can courts safeguard fairness in an AI age?

In the criminal justice system, decisions about when and how long to detain people have historically been made by other ...

A new generative AI approach to predicting chemical reactions improves accuracy and reliability

Many attempts have been made to harness the power of new artificial intelligence and large language models (LLMs) to try to ...

New AI model turns photos into explorable 3D worlds, with caveats

The results aren't true 3D models, but they achieve a similar effect: The AI tool generates 2D video frames that maintain ...

Is an ‘AI winter’ coming? Here’s what investors and leaders can learn from past AI slumps

Academic skepticism and business frustration have triggered past AI winters. This time, both factors are present. But there ...
IEEE

Adaptive Safety-Based Tracking Control for Uncertain Robotic Systems With Input–Output Constraints: A Neural Network-Based Augmented High-Order Control Barrier Function Approach

Abstract: This article investigates the trajectory tracking control of uncertain robotic systems with limited control torque input bounds and joint position constraints. A novel neural network-based ...
The New York Times

Ex-Employee Sentenced to 4 Years for Sabotaging Company’s Computer Network

The man, a former software developer for Eaton Corporation, wrote malicious code that crashed servers on the company’s network in 2019, prosecutors said. By Hannah Ziegler A former software developer ...
IEEE

Data-Driven Event-Triggered Output Regulation of Networked Inductive Power Transfer Systems: An Input-Output Data Approach

Abstract: This article introduces a data-driven output regulation approach for networked inductive power transfer (IPT) systems considering communication delays and sampling noises. Diverging from ...