#ai practices

[myriad-of-things]

my little brother tried to show me a "cool trick" where he entered my name and hometown into chatgpt and tried to get it to pull up my personal info like it did on all of his friends, then was absolutely shocked when it couldn't find anything on me

so. keep practicing basic internet safety, guys. it still works. don't put your personal info on social media, keep all your accounts on private, turn off ai scraping on every site that you can, enable all privacy features on social media apps. our info still can be protected, we have to keep fighting for control

[greatonlinetrainingsposts]

SAS’s Approach to AI Model Specialization and Sustainable AI Practices

Artificial intelligence (AI) is revolutionizing the way businesses operate, with many industries leveraging AI to enhance decision-making, improve customer experiences, and optimize operations. However, building AI models that are effective, reliable, and responsible is a challenge many organizations face. SAS, with its decades of experience in advanced analytics, is helping businesses navigate these challenges through its focus on AI model specialization and sustainable AI practices.

The Importance of Specialized AI Models

AI models are not one-size-fits-all solutions; they need to be tailored to meet specific business needs. For example, an e-commerce company may require an AI model that helps predict customer preferences and buying behavior, while a healthcare provider may need a model that accurately diagnoses diseases based on patient data. SAS’s approach focuses on developing AI models that are specialized to meet the unique needs of each industry. By customizing AI models, SAS ensures that businesses achieve more accurate predictions and derive deeper insights that drive their growth.

To gain hands-on experience with AI model specialization, you can start by exploring a SAS programming tutorial that focuses on building custom models and using machine learning algorithms tailored to different use cases. These tutorials are valuable for individuals who want to understand the nuts and bolts of AI models and how to apply them to real-world scenarios.

In addition to model specialization, SAS also emphasizes the importance of sustainable AI practices. As AI becomes more complex and integrated into business processes, it is crucial to ensure that these technologies are not only effective but also ethical and responsible. SAS’s sustainable AI practices involve building models that are transparent, fair, and free from biases.

Minimizing the Environmental Impact of AI

The environmental impact of AI, especially the energy consumption associated with training large-scale AI models, is another concern that SAS addresses through sustainable AI practices. The energy required to run AI models can be significant, particularly in industries with complex machine learning models. SAS’s AI models are optimized for energy efficiency, ensuring that businesses can use AI without contributing excessively to their carbon footprint.

The Business Benefits of Specialized AI Models

Specialized AI models not only improve the accuracy of predictions but also unlock new business opportunities. By tailoring AI to specific industries and use cases, businesses can gain a competitive edge and drive growth. For example, AI models that specialize in fraud detection can help financial institutions reduce losses, while AI models for personalized marketing can help retailers boost customer engagement and sales.

Furthermore, businesses can enhance their customer experiences by leveraging SAS’s AI-powered solutions. By analyzing customer behavior, preferences, and feedback, AI can help businesses offer highly personalized services and products, increasing customer satisfaction and loyalty.

Conclusion

SAS’s focus on AI model specialization and sustainable AI practices is helping businesses build more effective, ethical, and responsible AI solutions. By tailoring AI models to meet the unique needs of each industry and ensuring that these models operate transparently and fairly, SAS is setting a new standard for AI adoption in business. With the right training and guidance, businesses can harness the power of AI to drive growth, improve customer experiences, and optimize operations while ensuring that their AI practices remain sustainable and responsible. SAS tutorials online and SAS programming tutorials offer valuable resources for those looking to get started with AI and understand how to apply these advanced techniques to real-world challenges.

[photon-insights]

AI in Healthcare Research: the Next Wave of Innovation

The field of research in healthcare is experiencing a radical change driven by advances of Artificial Intelligence (AI). While healthcare is continuing to develop with the advancement of AI, the fusion of AI technology opens up new possibilities for innovation, improving the quality of care as well as streamlining the process. Photon Insights is at the forefront of this transformation offering the most cutting-edge AI solutions that enable healthcare professionals and researchers to discover new opportunities for medical science research.

The Importance of Photon Insights in Healthcare Research

Healthcare research plays a crucial part in improving patient care and developing new treatments and enhancing the health system. But, traditional research methods frequently face difficulties such as excessive data collection, long time frames and resource limitations. AI can provide innovative solutions that solve these issues by allowing researchers to study huge quantities of data fast and precisely.

Key Benefits of AI in Healthcare Research

1. “Enhanced Analysis of Data AI algorithms are adept at processing huge amounts of data and gaining information that will help aid in making clinical decisions as well as research direction. This ability lets researchers identify the patterns and trends in their data that could be missed by conventional methods.

2. Accelerated Drug Discovery: AI-driven models could significantly cut down on the time and expense associated in the process of developing drugs. By anticipating how various chemicals are likely to interact with biochemical systems AI could speed up the process of drug discovery which results in faster and more efficient treatment options.

3. “Personalized Medicine”: AI assists in the study of genome-related data and patient histories, which can lead to the creation of customized treatment plans. This method increases the efficacy of treatments and improves the patient’s outcomes by tailoring treatments to the individual’s needs.

4. “Predictive Analytics: AI can forecast disease outbreaks, patient admissions and treatment response using previous data. This capability can help healthcare professionals allocate resources more efficiently and prepare for the possibility of challenges.

5. Improved Clinical Trials AI improves the planning and execution for clinical research by discovering appropriate candidates, enhancing protocols, and monitoring results in real-time. This results in better-performing trials and faster access to the latest therapies.

Challenges in Implementing AI

Although it has many benefits however, the implementation of AI in research on healthcare isn’t without its difficulties. Concerns like data security concerns and privacy, requirement for standardized data formats and the possibility of bias in algorithms must be taken care of in order to fully utilize what is possible with AI technology.

1. Data Security and Privacy: Protecting the privacy of patient data is essential. Researchers must be sure to comply with the rules like HIPAA when employing AI tools to examine sensitive information.

2. Standardization of Data Inconsistent formats for data within healthcare systems could hinder the efficient use of AI. Establishing standard protocols for sharing and collecting data is essential to ensure seamless integration.

3. Algorithmic Bias AI systems are as effective as the data they’re taught on. If the data is flawed or insufficient the algorithms that result may result in skewed outcomes, increasing health disparities.

Photon Insights: Leading the Charge In Healthcare Research

Photon Insights is revolutionizing healthcare research with cutting-edge AI solutions to address these challenges head on. The platform was designed to provide clinicians, researchers, and healthcare institutions with the tools needed to use AI efficiently.

Key Features of Photon Insights

1. Superior Data Integration: Photon Insights combines data from a variety of sources, such as medical records on the internet, trials in clinical research as well as genomic database. This approach is comprehensive and lets researchers do more thorough analysis, which improves the quality of their results.

2. “User-Friendly Interface”: Its easy-to-use design enables researchers from all backgrounds in technology to access complex data easily. This ease of use encourages collaboration among multidisciplinary teams, enabling innovations in research.

3. Advanced Analytics Tools Photon Insights offers state-of-the-art machine learning algorithms that are able to analyze and interpret massive datasets quickly. Researchers can gain actionable insights from data, enabling informed decisions.

4. Ethical AI Practices Photon Insights puts a high priority on ethical considerations when it comes to AI development. The platform implements strategies to minimize bias and to ensure the transparency of its processes, which helps build trust between both the user and other parties.

5. Real-time monitoring and reporting This platform allows researchers to keep track of ongoing research and clinical trials in real-time, offering timely data that inform immediate actions. This feature improves the flexibility of research strategies and enhances results.

Real-World Applications of AI in Healthcare Research

AI technologies are currently used in a variety of research areas in the field of healthcare, showing their ability to create improvements in patient care:

1. Diagnosis of Disease : AI techniques are designed to analyze medical images including X-rays, and MRIs with astonishing precision. These tools aid radiologists in identifying illnesses earlier, resulting in timely treatments.

2. “Chronic disease Management AI-driven analytics are able to track the patient’s data over time, which can help healthcare professionals manage chronic illnesses like hypertension and diabetes more efficiently. Predictive models are able to alert healthcare professionals to the possibility of complications prior to they occur.

3. “Genomic research: AI plays a pivotal role in the field of genomics, processing large quantities of genetic information. Researchers are able to identify the genetic markers that cause illnesses, opening the way for targeted treatments and preventive actions.

4. “Healthcare Operations”: AI enhances operations in hospitals by anticipating admissions of patients as well as scheduling staff, and enhancing supply chain management. This improves utilization of resources and better patient experience.

The Future of AI in Healthcare Research

What lies ahead for AI in the field of healthcare research is expected to transform healthcare research. As technology improves, a variety of tendencies are likely to influence the future of AI in healthcare research:

1. Increased Collaboration Integrating AI will lead to more collaboration among researchers, clinicians and tech developers. Multidisciplinary partnerships will fuel forward the pace of innovation and result in advancements in the treatment and care field.

2. Enhanced Frameworks for Regulation as AI is becoming more commonplace in healthcare, regulators are developing guidelines to ensure appropriate and ethical usage of these technology. This will improve trust and encourage ethical AI methods.

3. Greater focus on health Equity The future will see greater emphasis on the use of AI to tackle health disparities. Researchers will use AI to identify populations at risk and design interventions that meet their particular needs.

4. Continuous Learning and Adaptation: AI systems will continue to develop, taking in new information and experiences. This ability to adapt will increase the accuracy of predictions as well as the efficiency of interventions in the long run.

Conclusion

AI is opening a brand new era in research into healthcare that will open up opportunities for innovation previously impossible to imagine. Through enhancing data analysis, speeding up the discovery of drugs, and providing personalization of medical treatment, AI is transforming the ways that researchers tackle healthcare issues. Photon Insights is leading this revolution, offering the most powerful AI tools to help medical professionals to make educated decisions and create positive change.

While the use of AI is evolving the potential for AI to improve the patient experience and streamline processes in healthcare will only grow. By taking advantage of these developments in healthcare, the industry will be sure that it is in the forefront of technological advancement which will ultimately benefit the patients as well as society as a as a whole. The future of research in the field of healthcare is bright and AI is a major influencer in its development.

[gingerswagfreckles]

After 146 days, the Writer's Strike has ended with a resounding success. Throughout constant attempts by the studios to threaten, gaslight, and otherwise divide the WGA, union members stood strong and kept fast in their demands. The result is a historic win guaranteeing not only pay increases and residual guarantees, but some of the first serious restrictions on the use of AI in a major industry.

This win is going to have a ripple effect not only throughout Hollywood but in all industries threatened by AI and wage reduction. Studio executives tried to insist that job replacement through AI is inevitable and wage increases for staff members is not financially viable. By refusing to give in for almost five long months, the writer's showed all of the US and frankly the world that that isn't true.

Organizing works. Unions work. Collective bargaining how we bring about a better future for ourselves and the next generation, and the WGA proved that today. Congratulations, Writer's Guild of America. #WGAstrong!!!

[deyeatix]

Jinx

[ashadowonsnow]

"I think we might make it," he said, with that complete simplicity I had so long taken for irony.

The Left Hand of Darkness

[downess]

Many companies are experimenting with ChatGPT and other large language or image models. They have generally found them to be astounding in terms of their ability to express complex ideas in articulate language. via Pocket

[mortalitasiquyen]

That AI art of emmrich smoking a bong makes me so mad for one very specific reason. I have seen SEVERAL requests for art within the DA fandom get fulfilled just by asking. Like people asking “Hey artists of tumblr, can someone render Lucanis in this exact pose?” Or “Hey can someone draw Illario wearing -this-?” And both times several artists step up to the plate and make that art for free, for fun, because that is what community is all about in fandom.

You have a world of artists willing to draw at your disposal (you don’t even have to commission them) and yet STILL you chose to disrespect artists and use a machine that steals art, hours of hard work.

Had you asked “hey can someone draw emmrich with a bong and a skull smoke cloud coming out”, I guarantee you would’ve gotten several works of art in return, from actual artists.

You don’t have to steal from them. You don’t have to use technology that steals from them. You can go straight to them and ask.

[k3n999]

Based on this post.

AisVan's bodies diff side by side~

Aaaaaand

*head in hands* one of the 'idk wth is this I'm fw it' stuff that I like to make⤵️

Guess who gets smashed later? hahaha haahaa (it's 3am I'm so deeeaaddd)

There are actually bit more panels at the end but I'm like, EXTREAAAMMLYYY tired rn, I know I can js continue this later but Idk why I felt like I HAD to finish this like my rent was due or smth auuegghhhh. It's also more of a self indulgent kind of thing so yyyeehhhhh

[bbb-bbbbbbb]

hey HEY how many times do i have to tell you to stay away from lasers???

[turtletoads]

heyyyy *leans on old halo art i never posted*

[inkzectz]

Collect my passports. Idiot.

Ver w/o the SV 👇

[kurohaai]

I'm officially in LaDS swamp make way for my ffg (freaky fluffy guy)