Well-being is a dynamic construct that evolves over time and fluctuates within individuals, presenting challenges for accurate quantification. Reduced well-being is often linked to depression or anxiety disorders, which are characterised by biases in visual attention towards specific stimuli, such as human faces. This paper introduces a novel approach to AI-assisted screening of affective disorders by analysing visual attention scan paths using convolutional neural networks (CNNs). Data were collected from two studies examining (1) attentional tendencies in individuals diagnosed with major depression and (2) social anxiety. These data were processed using residual CNNs through images generated from eye-gaze patterns. Experimental results, obtained with ResNet architectures, demonstrated an average accuracy of 48% for a three-class system and 62% for a two-class system. Based on these exploratory findings, we propose that this method could be employed in rapid, ecological, and effective mental health screening systems to assess well-being through eye-tracking.

This is my third and last blog on digital storage and memory projections for 2023. The last two articles focused on digital storage and memory devices including magnetic tape, HDDs, SSDs as well as NAND, DRAM and emerging memories. We also covered developments in shared storage and memory networking. This article focuses on developments in digital storage systems and software and their use in various workflows. While there are lingering issues with supply chains and at least partial remote work and remote collaboration seems here to stay, in 2022, we began to recover from the impacts of two years of the COVID pandemic. On the other hand, high inflation rates and tightening of money supplies to try and stem inflation resulted in many technology-driven companies tightening their belts, laying off workers and moderating their IT infrastructure spending in the second half of the year.

Impact of Increased Digital Noise: Consumers today receive more digital marketing messages than they did a decade ago, many of them irrelevant. The cumulative effect of this "digital noise" makes it harder for retailers to engage and motivate prospective and existing customers. Personalized messages grounded in real-time, aggregated consumer insights can help retailers stand out on the right channels at the right time. Benefits of AI-Generated, Personalized Marketing: Increased brand engagement and increased conversion are the top two improvements that global marketers see as a result of implementing greater personalization, according to a study by Acquia in late 2021. Importance of First-Party Data: According to a study of US-based executives conducted by Coresight Research and Persado in November 2021, driving online sales (55.6% of respondents) and providing the right information to the right person at the right time (51.4%) are the top two benefits of using first-party data for marketing purposes.

The market meltdown in tech has left one area unscathed: while the market punishes tech stocks, AI is unabashedly on fire. And investor interest is warranted: AI that is actually good is already here. The question now is, When and how do businesses supplement their workflows and processes with AI? Because AI is soon going to be mission-critical to staying competitive. AI can--today--improve or completely take over many business processes: customer service and support, employee scheduling, data analysis, expense management, legal and minor contract drafting, digital marketing, customer acquisition... In this article (the first in a planned series), we'll explore the state of AI solutions available today and dive into how business owners are prioritizing putting the tech to work.

We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles.

In today's world of marketing, it is necessary to have visually appealing content. Visual material has become an essential area of focus for every company as a result of the widespread availability of gadgets for mass communication and extended visual advancements. Similarly, artificial intelligence is also gaining ground and it is proving to be the most revolutionary technological advancement thus far. The integration of visual content with artificial intelligence is the key to acquiring and retaining loyal customers; its absence from the overarching marketing strategy of any production raises a red flag that could ultimately result in a smaller market share for that company.

Machine learning has been inducted into various domains for automation and insights. It has helped businesses grow by aiding decision-making based on data. Organizations create and deploy machine learning applications as Software-as-a-Service or use them for streamlining internal processes such as data entry operations, sales and marketing. This article will discuss how machine learning has evolved the marketing industry and how companies leverage it for profits and growth. Machine learning is a branch of artificial intelligence that deals with predictive modeling and analysis based on historical data.

OpenAI's flagship natural language processing (NLP) programme, GPT-3, has been available for two years now. Poems, essays, song lyrics, and even comprehensive manifestos could be generated by the AI language tool with just the barest of cues, and its readers were astounded by the quality of the writing produced. OpenAI's GPT-3 is a "foundation model" that was trained using what amounts to the whole of the internet (Wikipedia, Reddit, The New York Times, etc.). In order to determine the most likely responses to each given challenge, it utilises this massive information. Due to the massive scope of this study, only a select few of these basic models exist.

AI is driven by man-made brainpower, which includes PC calculations that can investigate data and further develop computerized showcasing efforts consequently through experience. Gadgets that influence AI examine new data with regards to significant authentic information, which can illuminate computerized advertising efforts in light of what has or hasn't worked previously. The rise of advanced media has welcomed on an inundation of "large information", which has given open doors to computerized advertisers to grasp their endeavors and precisely trait esteem across channels. This has additionally prompted an over-immersion of information, as numerous advanced advertisers battle to figure out which informational collections merit gathering. Computer based intelligence showcasing can assist with parsing through all that information at lightspeed, separating it down to its basics and investigating it as well as suggesting the best components of future advanced promoting efforts.

Maidaan is a'Blockchain Property-Technology Startup' on the verge of incubating various innovative real estate products, which facilitates the vast needs and demands of the fast-paced real estate sector of Pakistan. BaaS is a cloud-based decentralized infrastructure and management platform for digitizing the record keeping process for the real estate sector. Maidaan's BaaS platform will act as a web-3 host, running the back-end operation when it comes to authenticating transactions. Whenever a transaction or transfer is performed through the BaaS network, it is stored on a decentralized transparent digital ledger for all the stakeholder authentication. Maidaan's Rating as a Service (RaaS) helps make investing in real estate an ease for all by making it transparent for investors to make ethical data driven and vetted investment decisions.