While many companies are attempting to develop AI for various applications, there is a considerable gap between the goals that organizations want to achieve and the reality of the insights that data and programs provide. The ambitions of an organization for using artificial intelligence (AI) and the reality of how such projects play out are vastly different. Emotional intelligence and mindfulness are two essential aspects. The pandemic highlighted this flaw – people's capacity to stay focused and mindful can be compromised in a remote working environment. When AI is utilized in a cyber-attack, such as when someone tries to deploy a chatbot or another adversarial machine learning technology against organizations, this could be a significant issue.

All the sessions from Transform 2021 are available on-demand now. The adoption of cloud technologies continues to accelerate. According to the newest report from Canalys, in Q2 2021, companies spent $5 billion more on cloud infrastructure services compared to the previous quarter. While a number of factors are responsible, including an increased focus on business resiliency planning, the uptick illustrates the effect AI's embracement has had -- and continues to have -- on enterprise IT budgets. In a recent survey, 80% of U.S. enterprises said they accelerated their AI adoption over the past two years.

Through AI platforms, computers can learn how to mimic human thought processes and cognitive functions, but with increased speed and learning capacity. Artificial intelligence has several subdisciplines, including machine learning, unsupervised learning, and deep learning. The versatility of AI makes it useful in a variety of medical disciplines. In human medicine, AI has already found applications in areas such as drug design, anesthesiology, cardiology, radiology, oncology, and infectious disease management. In general veterinary practice, protocols for vaccination, parasite prevention, and many aspects of wellness care are well-established.

Shuiwang Ji, associate professor in the Department of Computer Science and Engineering at Texas A&M University, is one of the principal investigators on a $6 million grant from the National Institutes of Health to develop artificial intelligence-driven methods to automate the process of finding subtle telltale signs of Alzheimer's disease in neuroimaging data. Ji will lead the research team tasked with developing advanced deep-learning methods for finding relevant neural signatures lurking within neuroimages taken using different techniques, such as PET scans and MRIs. "I feel very excited with this collaborative opportunity to make scientific discoveries in medical domains using deep learning and artificial intelligence," said Ji, who has extensive expertise in machine learning, deep learning and medical image analysis. Alzheimer's disease affects 5.6 million Americans over the age of 65, and its symptoms are most noticeably the progressive impairment of cognitive and memory functions. It is also currently the most common form of dementia in the elderly.

We're excited to announce that Plainsight is now on Google Cloud MarketPlace! Derek Muller (a.k.a Veritasium) explores why how close we are to having fully autonomous vehicles become mainstream on the roads, and if they're safer than human driven vehicles. This video shows Waymo's (Google's) self-driving car progress and brings up some great questions about the future of the self-driving industry. NVIDIA's new Alias free GAN is capable of generating much more realistic looking faces not only in images but also in videos by better handling complex textures! Check out the video below or read the paper and see more examples here.

A reverse image search is a technique that allows finding things, people, brands, etc. using a photo. While performing a regular search you usually type a word or phrase that is related to the information you are trying to find; when you do a reverse image search, you upload a picture to a search engine. In the results of regular searches, you receive a list of websites that are connected to these phrases. When you perform a reverse image search, in the results you receive photos of similar things, people, etc, linked to websites about them. Reverse search by image is the best solution to use when looking for similar images, smaller/bigger versions of them, or twin content.

Improving operational efficiency has emerged as a priority for healthcare facilities as they seek predictive ways to manage and allocate resources at a time of ever-increasing demand for their services. Many of them are now turning to AI as a key enabler of a more progressive approach, helping them to plan their logistical responses based on the latest data – and maintain their focus on delivering end-to-end patient care of the highest quality. A growing patient load creates significant operational challenges, not least for the management of the patient experience itself. For example, where appointment schedules are not properly optimised, the disruption to patient flow throughout a facility can have a significant impact on waiting times. Providers need to be able to sustain a consistent flow of patients and visitors, and meet it with appropriate resources, including clinical staff, hospital beds and operating theatres, at every stage of the patient journey.

The new institute is one of 11 launched by the National Science Foundation and among two funded by the U.S. Department of Agriculture-National Institute of Food and Agriculture in 2021. It's called the AgAID Institute, which is short for USDA-NIFA Institute for Agricultural AI for Transforming Workforce and Decision Support. While traditional AI development involves scientists making tools and delivering them to end-users, the AgAID Institute will involve the people who will use the AI solutions--from farmers and workers to policy makers--in their development, said Ananth Kalyanaraman, a WSU computer science professor and the lead principal investigator for the Institute. "People are very much part of the agricultural ecosystem. Humans manipulate crops on a daily basis and make complex decisions, such as how to allocate water or mitigate the effects of an incoming storm," said Kalyanaraman, who also holds the Boeing Chair in WSU's School of Electrical Engineering and Computer Science.

Nothing seemed suspect when Jill Watson, a teaching assistant at the Georgia Institute of Technology (Georgia Tech), emailed students about assignments and answered questions during Professor Ashok Goel's online knowledge-based artificial intelligence course. In fact, it wasn't until the end of the semester that the students realized they hadn't been emailing a human at all -- they'd been corresponding with a chatbot. Goel had built an artificially intelligent teaching assistant that could answer routine questions so that he and the human teaching assistants could focus on responding to more complex issues, Business Insider reports. And he isn't the only person using artificial intelligence to improve education. The teams at companies including Thinkster Math, Brainly, Content Technologies Inc., and Gradescope are creating artificial intelligence tools to aid students and educators.

On July 20, California filed an explosive workplace discrimination and harassment lawsuit against Activision Blizzard, publisher of immensely popular video games including World of Warcraft, Overwatch, and the Call of Duty franchise. It has resulted in a shockwave of response from employees, other games studios and players. The lawsuit alleges a "frat bro" culture was allowed to flourish in the office, creating an environment in which women were sexually harassed and discriminated against in advancement and compensation decisions. Activision Blizzard is one of the largest video game publishers in the world, owning studios who have created and released some of the most popular titles over the past decade. Its 2016 acquisition of Candy Crush publisher King, expanded its audience by millions more.