Longshoremen have grim memories of how past innovation reduced employment at the docks. Shipping containers, introduced in the 1960s, allowed ports to move goods with fewer workers. "You don't have to pay pensions to robots," said Brian Jones, 73, a foreman at the Port of Philadelphia. He began working there in 1974, when bananas from Costa Rica were unloaded box by box. Workers throughout the economy are worried that technology will eliminate their jobs, but at the ports it threatens one of the few blue-collar jobs that can pay more than 100,000.

Deep Neural Networks (DNNs) have advanced in many real-world applications, such as healthcare and autonomous driving. However, their high computational complexity and vulnerability to adversarial attacks are ongoing challenges. In this letter, approximate multipliers are used to explore DNN robustness improvement against adversarial attacks. By uniformly replacing accurate multipliers for state-of-the-art approximate ones in DNN layer models, we explore the DNNs robustness against various adversarial attacks in a feasible time. Results show up to 7% accuracy drop due to approximations when no attack is present while improving robust accuracy up to 10% when attacks applied.

In a world filled with AI skeptics, I'm cautiously optimistic about the proliferation of artificial intelligence. Yes, it has its dark sides, like deepfakes (I mean, did you see what happened to Taylor Swift?), job displacement, and AI-induced intellectual lethargy. But I'd argue that all new breakthrough technologies are disruptive (e.g., the internet, ride-sharing apps, and social media), causing ruin to some aspects of society while bringing benefits in other areas. Pro-AI advocates claim that AI will make our lives easier, so I decided to put that to the test. A five-day vacation is fun, but building a nearly week-long itinerary is not.

"The Apple Vision Pro is out-friggin'-standing, but what the hell am I going to use it for?" This is what many tech journalists and reviewers with early access to the 3,499 swanky headset said. They gushed about the accurate eye tracking, the nuanced hand tracking, and slick visionOS interface, but scratched their head over how it'd fit into their daily lives. I thought I knew the answer to their conundrum: travel. As a frequent jetsetter, I often see the AirPods Max or AirPods Pro as one of the most popular travel accessories, allowing people to drown out the annoying drone of a plane.

Patient triage plays a crucial role in emergency departments, ensuring timely and appropriate care based on correctly evaluating the emergency grade of patient conditions. Triage methods are generally performed by human operator based on her own experience and information that are gathered from the patient management process. Thus, it is a process that can generate errors in emergencylevel associations. Recently, Traditional triage methods heavily rely on human decisions, which can be subjective and prone to errors. Recently, a growing interest has been focused on leveraging artificial intelligence (AI) to develop algorithms able to maximize information gathering and minimize errors in patient triage processing. We define and implement an AI-based module to manage patients' emergency code assignments in emergency departments. It uses emergency department historical data to train the medical decision process. Data containing relevant patient information, such as vital signs, symptoms, and medical history, are used to accurately classify patients into triage categories. Experimental results demonstrate that the proposed algorithm achieved high accuracy outperforming traditional triage methods. By using the proposed method we claim that healthcare professionals can predict severity index to guide patient management processing and resource allocation. Emergency department (ED) management faces a significant challenge in managing the influx of people.

The application of self-supervision to speech representation learning has garnered significant interest in recent years, due to its scalability to large amounts of unlabeled data. However, much progress, both in terms of pre-training and downstream evaluation, has remained concentrated in monolingual models that only consider English. Few models consider other languages, and even fewer consider indigenous ones. In our submission to the New Language Track of the ASRU 2023 ML-SUPERB Challenge, we present an ASR corpus for Quechua, an indigenous South American Language. We benchmark the efficacy of large SSL models on Quechua, along with 6 other indigenous languages such as Guarani and Bribri, on low-resource ASR. Our results show surprisingly strong performance by state-of-the-art SSL models, showing the potential generalizability of large-scale models to real-world data.

Global internet freedom declined for a thirteenth consecutive year in 2023, partially as a result of AI being used to sow disinformation and enhance content censorship, according to a new report from U.S.-based nonprofit Freedom House. The 2023 Freedom on the Net report, published on Oct. 4, assesses the state of internet freedom in 70 countries through a comprehensive methodology examining obstacles to access, limits on content, and violations of user rights. The report found that many countries--including Myanmar, the Philippines, Costa Rica--have drastically restricted online freedoms this year. China has the lowest levels of internet freedom for the ninth consecutive year, the report said. Freedom House, established in 1941, publishes Freedom in the World and Freedom on the Net annually.

ActiveCampaign, the leader in marketing automation, email marketing and CRM, is putting down roots in San José, Costa Rica and will have 100 employees in the hub within 12 months. Latin America is one of the company's fastest growing regions, with local businesses growing through the power of ActiveCampaign's platform every day. With offices in Brazil and Colombia already, ActiveCampaign is making a larger investment in the region by expanding engineering and customer teams to improve the global customer experience and operations of the business. Costa Rica hosts a large number of successful technology companies such as Microsoft, Intel, Akamai and Smartsheet. As the latest technology leader to open a hub in the country, ActiveCampaign will be able to support more businesses in the region and across the globe, who need resources in both English and Spanish.

Hitachi Solutions is a global Microsoft solutions integrator passionate about developing and delivering industry-focused solutions that support our clients to deliver on their business transformation goals. Our industry focus, expertise, and intellectual property is what truly sets us apart. We have earned, and continue to maintain, a strategic relationship with Microsoft. Recognized for our achievements - teaming with our clients to deliver innovative digital solutions and services - is how we have achieved year after year recognition. As their trusted advisor, we support our clients to deliver on their strategic business initiatives as they unify, automate, and modernize their data and operations to increase efficiency, reduce costs, and enhance their customer's experience.

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. In this role you will be responsible for managing the data engineering team, expanding and optimizing our data pipeline architecture, as well as enabling delivery of new data engineering products at increasing scale. The Lead Data Engineer will support Product Delivery, Engineering, Analytics, and all of our data scientists on various initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Infutor Data Solutions is the expert in Consumer Identity Management and Identity Resolution, offering award-winning solutions to a variety of brands and martech firms.