How many times has your website taken a while to load? How many times have you said, "Meh. Your Google page speed score and your core web vitals are more important than ever. Even if you're making sales right now, it's only a matter of time before your competition decides it's better to be the hare and not the tortoise. All of the great content, social media promotion, and keyword research in the world won't matter if your website is a slug on a rainy day.

While the concept of the digital twin is not new or something people haven't heard before, the advancement in the involved factors, specifically technology, has led to people renewing their focus on it for a plethora of reasons. Metaverses are swiftly becoming the next playground for hearts and minds, with the big tech brands connecting vast datasets to create experiential worlds for consumers. It won't take long for the metaverse to become a reality for governments and enterprises as well, with digital twins and 5G converging to connect the dots for digital realms. With ransomware assaults on the ascent in the Asia Pacific and cyber attackers progressively utilizing new innovations like artificial intelligence (AI), nation-states (including Australia, India, Singapore, Hong Kong, Korea, and Japan) recently came together at a US Summit and promised to team up on the developing issue. This will incorporate better approaches to mitigate the risk to physical infrastructure.

Tech companies, retailers and real-estate firms working on ways to alleviate the strain of constant delivery on urban environments envision an alternate scenario: skies filled with zipping delivery drones and floating dirigible warehouses, streets and sidewalks teeming with as many robots as people, familiar storefronts serving as automated stockrooms for online fulfillment. A look at how innovation and technology are transforming the way we live, work and play. The e-commerce process, from order to fulfillment, will gradually move toward total automation, says David Wilson, chief executive of machinery company Columbus McKinnon, which uses robotic components in warehouse lifting equipment. "The vehicle that pulls up is an autonomously driven vehicle. The unpacking is done with vision technology and robotic equipment. The movement of equipment to automated storage and retrieval systems is done via mobile robots," Mr. Wilson says, describing the warehouse of the future.

Currently, many theoretical as well as practically relevant questions towards the transferability and robustness of Convolutional Neural Networks (CNNs) remain unsolved. While ongoing research efforts are engaging these problems from various angles, in most computer vision related cases these approaches can be generalized to investigations of the effects of distribution shifts in image data. In this context, we propose to study the shifts in the learned weights of trained CNN models. Here we focus on the properties of the distributions of dominantly used 3x3 convolution filter kernels. We collected and publicly provide a dataset with over 1.4 billion filters from hundreds of trained CNNs, using a wide range of datasets, architectures, and vision tasks. In a first use case of the proposed dataset, we can show highly relevant properties of many publicly available pre-trained models for practical applications: I) We analyze distribution shifts (or the lack thereof) between trained filters along different axes of meta-parameters, like visual category of the dataset, task, architecture, or layer depth. Based on these results, we conclude that model pre-training can succeed on arbitrary datasets if they meet size and variance conditions. II) We show that many pre-trained models contain degenerated filters which make them less robust and less suitable for fine-tuning on target applications. Data & Project website: https://github.com/paulgavrikov/cnn-filter-db

As medicine continues to test automated machine learning tools, many hope that low-cost support tools will help narrow care gaps in countries with constrained resources. But new research suggests it's those countries that are least represented in the data being used to design and test most clinical AI -- potentially making those gaps even wider. Researchers have shown that AI tools often fail to perform when used in real-world hospitals. It's the problem of transferability: An algorithm trained on one patient population with a particular set of characteristics won't necessarily work well on another. Those failures have motivated a growing call for clinical AI to be both trained and validated on diverse patient data, with representation across spectrums of sex, age, race, ethnicity, and more.

Australians want more digital government services and a majority are comfortable with Artificial Intelligence-generated services that personalise assistance based on circumstances, according to the inaugural Publicis Sapient Digital Citizen Survey on digital government in Australia. The survey of more than 5000 respondents across Australia looked at peoples usage, experience, and perspectives on engaging with Governments through digital services. The report highlights an openness to leveraging AI technologies with 83% of Australians open to digital services that remember details of their past interactions, and 78% are comfortable with a government website that personalised services based on their employment status and income or previous interactions with Government. The survey found that millennials are the most likely of any age group to use government digital services (94%) compared to boomers (79%) and builders (61%), driven by their higher use of employment and family-related services. Most citizens are open to many services being made as available digitally as possible - healthcare, ATO, and Centrelink were the most common areas where citizens have suggested extending digital service offers.

Healthcare and life science organizations are moving towards digital transformation to decrease the cost of care, improve collaboration, make data-driven clinical and operational decisions, and enable faster development of new therapeutics and treatment paths. Identifying the right cloud technology to reach these goals can be challenging, and many organizations lack the internal resourcing and expertise to assess, build, and deploy their own solutions. As a highly regulated and complex industry, various global compliance requirements can further complicate healthcare and life science organizations' moves to implement digital initiatives. To help customers accelerate their transformation, we are introducing AWS for Health, an offering of curated AWS services and AWS Partner Network solutions used by thousands of healthcare and life sciences customers globally. AWS for Health provides proven and easily accessible capabilities that help organizations increase the pace of innovation, unlock the potential of health data, and develop more personalized approaches to therapeutic development and care.

Toby: My role here at Darktrace is the Global Head of Threat Analysis. My day-to-day job involves looking at the 100 or so cybersecurity analysts we have spread from New Zealand to Singapore, the UK, and most major time zones in the US. My main role is to evaluate how we can use the Darktrace platform to work with our customers. How can we ensure that our customers get the most out of our cybersecurity expertise and support when using AI to secure their network? The other half of my role at Darktrace is subject matter expertise. This role involves talking to reporters like yourself or our customers who want to hear more about what Darktrace can do to help them from a cybersecurity perspective, discussing the context of current events. That part of my role was born out of a nearly 20-year career in cybersecurity. I first started in government and was one of the founding members of the National Cybersecurity Center here in the UK.

Products delivered through other Wing customers, including ice cream from Blue Bell Creameries, first-aid kits from Texas Health Resources and pet prescriptions from easyvet veterinary clinics, will be handled at a staging area at a mixed-use development in Frisco, Texas, by Wing employees. Over time, Wing plans to have customers operate their own drone deliveries. Wing said deliveries will be limited to "tens of thousands of suburban homes" in Frisco and Little Elm for now. "This third-party delivery model will give businesses the ability to reach their customers in faster and cheaper ways than ever before," said Alexa Dennett, head of communications for Wing. Wing also operates commercial drone services in Christiansburg, Va., Finland and Australia.

Wing this morning announced that it is adding Texas to its list of drone delivery markets. On April 7, the Alphabet-owned operation will be arriving in Frisco and Little Elm, a pair of towns in the Dallas/Fort Worth metroplex. The primary partner is Walgreens, where drones will be picking up health and wellness products. Also on the list is easyvet for pet meds, Texas Health, which provides first aid kits, and Blue Bell Creameries, which is dropping off ice cream as summer looms. Upon launch, the offerings will be available to select customers via invite.