By AI Trends Staff
Artificial general intelligence (AGI) systems promise to infer context and meaning from incoming information, and react in a similar way to human brains. Using AI, the AGI system could conceivably achieve superhuman levels of inferencing power.
Artificial narrow intelligence (ANI), what some call “weak AI” is at the other end of the spectrum, delivering on well-defined domains using AI, and it is available now.
Most AI researchers agree that AGIs are several decades away and may never be achieved. To help the research along, Microsoft recently reached an agreement to make a $1 billion investment in OpenAI, a nonprofit working to develop AGI computing systems.
According to an account in crunchbase, Microsoft CEO Satya Nadella said Microsoft will not invest the capital all at once. “It will be doled out over the course of a decade or more,” he said.
OpenAI agreed that Microsoft would become its sole provider for computational resources, such as with its Azure cloud platform, where Microsoft generated a third of its revenue in the last quarter.
A press release on this issued by OpenAI stated in part, “We want AGI to work with people to solve currently intractable multi-disciplinary problems, including global challenges such as climate change, affordable and high-quality healthcare, and personalized education. We think its impact should be to give everyone economic freedom to pursue what they find most fulfilling, creating new opportunities for all of our lives that are unimaginable today.”
Microsoft will now be the preferred partner for commercializing some of its pre-AGI technologies, the release said.
Artificial Narrow Intelligence (ANI) Less Ambitious and Here Now
Artificial Narrow Intelligence (ANI), which some call weak AI or simply narrow AI, is here now, according to an account in the Shi Blog, ANI is typically implemented for well-defined use cases in predictive analytics, text to speech, image recognition, human-like chatbots, machine vision, natural language processing or expert systems.
For example, using an ANI system at its core, the Port of Los Angeles is deploying driverless, automated straddle carrier that work with the Automated Stacking Crane system to managing loading and unloading of chips, and loading shipping containers onto rail cars – without human intervention.
The ANI system is coordinating thousands of magnets, lasers, sensors, safety triggers and differential GPS. Some 100 longshoreman, who average an annual salary of $200,000, are able to deploy into other jobs.
Most AI that surrounds us today is narrow AI, including Google Assistant and Siri, which are not close to having human intelligence. Siri for example understands spoken words, enters them into a search engine and returns results.
Narrow AI has relieved workers of boring, routine and mundane tasks, including sifting through huge volumes of data and analyzing it to produce results. The ANIs can be seen as building blocks of more intelligent AI we may see in the future.