With the COVID-19 pandemic continuing, hatred against Asians is intensifying in countries outside Asia, especially among the Chinese. There is an urgent need to detect and prevent hate speech towards Asians effectively. In this work, we first create COVID-HATE-2022, an annotated dataset including 2,025 annotated tweets fetched in early February 2022, which are labeled based on specific criteria, and we present the comprehensive collection of scenarios of hate and non-hate tweets in the dataset. Second, we fine-tune the BERT model based on the relevant datasets and demonstrate several strategies related to the "cleaning" of the tweets. Third, we investigate the performance of advanced fine-tuning strategies with various model-centric and data-centric approaches, and we show that both strategies generally improve the performance, while data-centric ones outperform the others, and it demonstrates the feasibility and effectiveness of the data-centric approaches in the associated tasks.

Apple's second fall product event kicks off later today at 1 PM ET. We've laid out what to expect, but it's not the only big tech event week. Spare a thought for some of our staff, who will go straight from Apple reportage into Google. Yep, Tuesday October 19th is Google's Pixel 6 event. While we know what the phone will look like -- and some of its specifications -- expect to see some software surprises.

Learning machines are capable of working ever more autonomously on ever more complex tasks. In this blog, Muz Janoowalla explores whether it would be smart for humankind to develop an'intelligent gun'. There are an estimated 875 million civilian, law-enforcement, and military firearms in the world, of which 650 million are in the hands of civilians, either legally or illegally. Given the plethora of high-profile gun attacks in recent months and years – particularly in the US, but also in France, Norway, Pakistan and Tunisia, to name but a few – it is disturbingly easy to imagine gunmen on the loose in a school or at a public event, shooting indiscriminately and leaving casualties in their wake. Imagine how different things could be if a gun had artificial intelligence built into it, turning it into an intelligent gun.

Learning machines are capable of working ever more autonomously on ever more complex tasks. In this article, I explore whether it would it be smart for humankind to develop an'intelligent gun'. There are an estimated 875 million civilian, law-enforcement, and military firearms in the world, of which 650 million are in the hands of civilians, either legally or illegally[1]. Given the plethora of high-profile gun attacks in recent months and years – particularly in the US but also in France, Norway, Pakistan and Tunisia to name but a few – it is disturbingly easy to imagine gunmen on the loose in a school or at a public event, shooting indiscriminately and leaving casualties in their wake. Imagine how different things could be if a gun had artificial intelligence built in to it, turning it into an intelligent gun.