If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Anewly designed artificial intelligence tool based on the structure of the brain has identified a molecule capable of wiping out a number of antibiotic-resistant strains of bacteria, according to a study published on February 20 in Cell. The molecule, halicin, which had previously been investigated as a potential treatment for diabetes, demonstrated activity against Mycobacterium tuberculosis, the causative agent of tuberculosis, and several other hard-to-treat microbes. The discovery comes at a time when novel antibiotics are becoming increasingly difficult to find, reports STAT, and when drug-resistant bacteria are a growing global threat. The Interagency Coordination Group (IACG) on Antimicrobial Resistance convened by United Nations a few years ago released a report in 2019 estimating that drug-resistant diseases could result in 10 million deaths per year by 2050. Despite the urgency in the search for new antibiotics, a lack of financial incentives has caused pharmaceutical companies to scale back their research, according to STAT. "I do think this platform will very directly reduce the cost involved in the discovery phase of antibiotic development," coauthor James Collins of MIT tells STAT.
With all the hype over Artificial Intelligence, there is additionally a lot of disturbing buzz about the negative results of AI. More than one-quarter (27%) of all employees state they are stressed that the work they have now will be disposed of within the next five years because of new innovation, robots or artificial intelligence, as indicated by the quarterly CNBC/SurveyMonkey Workplace Happiness review. In certain industries where technology already has played a profoundly disruptive role, employees fear of automation likewise run higher than the normal: Workers in automotives, business logistics and support, marketing and advertising, and retail are proportionately more stressed over new technology replacing their jobs than those in different industries. The dread stems from the fact that the business is already witnessing it. Self-driving trucks already are compromising the jobs of truck drivers, and it is causing a huge frenzy in this job line.
In the movie All The President's Men, Woodward and Bernstein meet their informant in a parking garage who tells them: "Follow the money." If you want to know which technologies are hot in banking, you should do the same. The truly "hot" technologies in banking are the ones that financial institutions invest in--not necessarily the ones the pundits talk about. At the end of the past seven years, Cornerstone Advisors has surveyed financial institutions to find out where their technology dollars will go in the coming year. In Cornerstone's What's Going On in Banking 2021 study, the top five technologies for 2021 are: 1) Digital account opening; 2) Application programming interfaces (APIs); 3) Video collaboration; 4) P2P payments; and 5) Cloud computing.
Up-to-date and business-ready data have become more important than ever. Quarterly forecasts are no longer enough. Thus, artificial intelligence (AI) and machine learning are being introduced to increase the accuracy and timeliness of alerts, data refreshes, and more frequent forecasts. Supply chain disruption and unnecessary panic buying of items like toilet paper can be tackled by tying AI into data feeds to ensure current, accurate information. This is all about making data business ready. That means it must be curated for analytics consumption, made accessible as close to real time as possible, and tied into business logic to provide detailed insights.
"As you identify more and more examples of covert payment the AI learns on the fly. That's the beauty and the magic of AI," says Mr Mason. A scoring system was set up, with points added for certain attributes. Any score above a certain number was deemed worthy of further investigation. The machine-learning technology became better and better as it progressed.
The field of deep learning has gained popularity with the rise of available processing power, storage space, and big data. Instead of using traditional machine learning models, AI engineers have been gradually switching to deep learning models. Where there is abundant data, deep learning models almost always outperform traditional machine learning models. Therefore, as we collect more data at every passing year, it makes sense to use deep learning models. Furthermore, the field of deep learning is also growing fast.
For over 10 years, Zscaler has been disrupting and transforming the security industry. Our 100% purpose built cloud platform delivers the entire gateway security stack as a service through 150 global data centers to securely connect users to their applications, regardless of device, location, or network in over 185 countries protecting over 3,500 companies and 100 Million threats detected a day.
Transformative impact from Enterprise AI comes from applying AI at scale across an organization's entire value chain. Significant opportunity for innovation and competitive advantage lies in applying AI to re-think how businesses operate and deliver dramatic improvements in customer engagement, workforce productivity, and operational efficiency. But as is typical for technologies with transformative potential, there is also much confusion. What, after all, is Enterprise AI? Join Futurum Research and C3 AI to learn about the core principles of Enterprise AI and their role as qualification criteria in determining successful enterprise-scale AI efforts.
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Promaxo, an AI-powered medical imaging enhancement platform, announced the closing of an investment round of $4.17 million led by Huami. The medical technology company plans to use the new funds to accelerate its data strategy as it continues to incorporate artificial intelligence in imaging and image-based interventions. Using a combination of linear and genetic optimization algorithms, the company's medical imaging system forms the magnetic field within the field of view to maintain linearity and uniformity constraints while being thermally stable, the company said. "As an industry, we are just scratching the surface of how powerful MRI is poised to become in guided interventions, and we are proud to have Huami as a strategic investor as we introduce our truly open MRI system to the masses," said Dr. Amit Vohra, founder, and CEO of Promaxo. "Huami's mission is to connect health with technology, and we see tremendous opportunity in imaging to expand our growth opportunities. Companies such as Promaxo are disrupting the locations, applications, and costs of medical imaging. Huami has resources, such as miniaturization engineering expertise, that can help accelerate Promaxo's scaling, growth, and success, and we look forward to what our partnership can develop," said Huami Chief Operating Officer Mike Yeung.