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The recent frenzy of commercial interest in large language models could be compared to a gold rush
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The Artificial Intelligence (AI) Gold Rush

graphic: pile of gold

The recent frenzy of commercial interest in large language models could be compared to a gold rush. If the rush indicates the presence of a large long-term opportunity, then expect the supply chain of equipment and software to develop to support it.

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1

The Modern History of ICT in Oceania—PEACESAT and USPNet

50 years ago, free satellite communications services were provided to Pacific Island countries with support from USA, Australia, NZ, and Japan. History shows that people of the Pacific Island countries did not passively accept the information and communication technologies and policies, but showed a strong 'political will.'

2

Seven Pillars for the Future of Artificial Intelligence 🔐
Although AI frequently outperforms humans in tasks related to classification and pattern recognition, it continues to face challenges when dealing with complex tasks such as intuitive decision making. To address these shortcomings, this article proposes seven pillars that represent the key hallmark features for the future of AI.

3

Whom to Trust, How and Why: Untangling Artificial Intelligence Ethics Principles, Trustworthiness, and Trust
Without recognizing these nuances, "trust in AI" and "trustworthy AI" risk becoming nebulous terms for any desirable feature for AI systems.

4

Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible Artificial Intelligence Engineering Approach
The recent release of ChatGPT has gained huge attention and discussion worldwide, with responsible artificial intelligence (RAI) being a crucial topic of discussion. This article summarizes the major challenges in operationalizing RAI at scale and introduces how to use the RAI pattern catalog to address those challenges.

5

Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces

Estimating depth from images nowadays yields outstanding results, both in terms of in-domain accuracy and generalization. However, two main challenges that remain open in this field: dealing with non-Lambertian materials and effectively processing high-resolution images. This article proposes a novel dataset that includes accurate and dense ground-truth labels at high resolution, featuring scenes containing several specular and transparent surfaces.

6

Detecting Mobile Malware Associated With Global Pandemics 🔐
This article proposes the use of app permissions and an extra feature (the total number of permissions) to develop a static detector using machine learning (ML) models to enable the fast-detection of pandemics-related Android malware at installation time. 

7

GreenCrowd: Toward a Holistic Algorithmic Crowd Charging Framework
The aim of article is to present the technological and applicative requirements and constraints of GreenCrowd, and provide practical evidence on its feasibility.

8

A Viewpoint on Knowing Software: Bill of Materials Quality When You See It

Software bills of materials (SBOMs) have become a required mechanism to communicate software supply chain information. This article posits that in order to achieve the intended goal of SBOMs, you must first develop mechanisms to measure their quality.

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