When people think about artificial intelligence (AI) today, they might think of computers that can speak to us like Alexa or Siri, or grand projects like self-driving cars. These are very exciting and attention-grabbing, but the reality of AI is actually thousands of tools and apps running quietly behind the scenes, making our lives more straightforward by automating simple tasks or making predictions.
Back 1951, when Christopher Strachey launched his AI-driven checkers program at the University of Manchester in England, people were questioning the implications of human-mimicking machines. Today, depending on who is giving the answer, AI is either the key to driving society toward a peaceful, harmonious future or the biggest potential threat to humankind.
AI has surely taken a big role in the development and research sector and is on its quest to become present in an overwhelming number of scenarios in our daily lives. While we come across AI-based instruments every day in our daily lives (just say “Hey Siri” or “Alexa” if you disagree), we have yet to come across as many robots.
The world runs on data, and humans alone could never monitor or safeguard all of it. When applied thoughtfully, artificial intelligence (AI)-enhanced cybersecurity can add essential layers of protection for modern enterprise networks.
Compliance has always played a pivotal role across financial firms and banking institutions in an effort to pinpoint and mitigate various risks across communication channels, including market abuse, insider trading, spoofing, front-running, and even sexual harassment and racism.
Artificial Intelligence (AI) is a series of systems, developments and techniques that enable machines to calculate actions and data sets. It is a constellation of many different technologies that work together to enable machines to sense, understand, act, and learn at a human intelligence level.
Predictive analytics is bringing smarter insights and better efficiency into many areas of our lives, even if we aren’t always aware of it. Take healthcare, for example, a sector that has been firmly in the spotlight in recent months. Scientists have recently combined self-reported symptoms data and artificially intelligent (AI) modeling to predict which early signs of COVID-19 can be used for faster detection.
Edge computing, as known to many, has surpassed the expectation levels in terms of performance delivered and objectives achieved. Over the last couple of years, it has been a common scenario to observe companies making huge tech investments as a part of their digital transformation journey.
Coding has become a critical skill for many jobs. Some countries and schools are even considering coding languages to be an acceptable form of a foreign language. In the midst of all this, the nature of code is changing dramatically.
Artificial intelligence (AI) is either our best path to a better tomorrow or the harbinger of an apocalypse, depending on who is talking about it. Both paths are viable, and I’m increasingly becoming worried that we aren’t focusing enough on creating the former and will, as a result, get the latter. Initially, AI efforts were primarily focused on things like improving medical diagnosis speed and accuracy.
Systems that can handle repetitive tasks have supported global economies for generations. But systems that can handle conversations and interactions? Those have felt impossible, due to the complexity of human speech.
Artificial intelligence has been no less than a blessing. This phenomenal technology caters to not one, not two but hundreds and thousands of applications in every possible field that one can think of. One such interesting and probably one of the most widespread applications of all is in the gaming industry. Be it racing games, shooting games, or strategy games, all have numerous features that are controlled by AI.
As consumers, we’ve widely welcomed artificial intelligence and machine learning into our daily lives. “Smart” speakers, facial recognition on our phones, targeted ads we love to hate — these are just some of the AI-powered technologies all around us.
Artificial intelligence has been used to predict the structures of almost every protein made by the human body. The development could help supercharge the discovery of new drugs to treat disease, alongside other applications. Proteins are essential building blocks of living organisms; every cell we have in us is packed with them.
Goodbye AI theater, hello to solving real operations and revenue challenges. Artificial intelligence and data experts say so much has happened in the past two years that it’s time to reexamine your AI strategy