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) …
If we were to go through the sales numbers of the last 18 months, it is fairly evident that there is an insatiable appetite for voice devices in the global market. The use of these digital voice assistants and conversational AI coupled with the advancements in AI and the overall underlying technology shows that voice first devices are poised to transform commerce and marketing within every industry. It truly is surprising how technology is so dynamically transforming one sector after another with revolutionary innovations. After the early rattle of IoT (Internet of Things), AR (Augmented Reality), VR (Virtual Reality) and Cloud computing, now we have the digital voice assistant technology to look forward to. However, the concept of voice-based services extends far beyond just personalized assistance to touch the banking sector at large.
LONDON--(BUSINESS WIRE)--Autonomous Research, a global research firm focused on financial services, has announced the publication of Augmented Finance and Machine Intelligence, an in-depth look at the way artificial intelligence is transforming the financial services industry. Autonomous estimates that over $1 trillion of today's financial services cost structure could be replaced by machine learning and AI. This would affect 2.5 million employees in the US alone. This shift will impact operations across all functions and segments of the financial industry, from bank tellers to portfolio managers to insurance underwriters. By 2030, Autonomous expects $490 billion in costs to be exposed to AI in distribution, $350 billion in the middle office, and $200 billion in financial product manufacturing.
The Statistics and Data Science Center (SDSC) at the Massachusetts Institute of Technology is launching a new online micromasters in statistics and data science. Currently under development by MIT faculty, the program will be available through edX in the fall and will feature a curriculum covering foundational knowledge of data science's methods and tools, in-depth coverage of probability and statistics and opportunities to experiment with data analysis techniques and machine learning algorithms. "The demand for data scientists is growing rapidly," said Krishna Rajagopal, dean for digital learning, in a prepared statement. "This new program increases the supply of professionals who are masters of the data science of today, and who have the foundational understanding needed to keep on top of the data science of tomorrow." MIT's micromasters programs are open to anyone who wants to enroll with no application process.
Given the increasing affordability of equipment and growing awareness of security requirements, more and more cameras are being installed across the globe every day. While this is a good thing, the sheer volume of footages that come in makes it difficult for operators to find specific objects or people when needed. This is one area where artificial intelligence (AI) is all set to play a key role. Several security companies are already working on this. Make searching through videos as simple as using Google.
Amazon will now make deliveries to Prime members parked cars. The company said it will deliver packages to Prime members with Chevrolet, Buick, GMC, Cadillac and Volvo cars via the Key App and linked connected car. Like the Amazon Key effort, which allows the e-commerce giant to open your door and deliver goods, Prime will now expand to your car. Amazon recently said that Prime has more than 100 million subscribers. Read also: Amazon unveils in-home delivery service Amazon Key 62 percent of Amazon deliveries may flow through USPS Amazon Ring acquisition: Made not for smart homes, but for deliveries Why Amazon's home robots aren't a stretch: All the infrastructure, ecosystem via AWS is in place Prime members will have the option to receive deliveries via the Key In-Car service.
Video: Apple dominates smartphone industry profits with iPhone X. A new survey of iPhone X owners has found extremely high levels of satisfaction with every single key feature of the device, but just 20 percent satisfaction with Siri. Although Siri's poor performance in the survey might not be a major surprise, the result for Apple's virtual assistant is a huge deviation from the finding by tech analyst Creative Strategies that overall 97 percent of customers are satisfied with the device. The company also found that 85 percent of iPhone X owners are "very satisfied" with their device, meaning a large portion of the overall satisfied number are not just satisfied but very satisfied. Creative Strategies' principal analyst Ben Bajarin said this result is one of the highest'very satisfied' rankings he's even seen with a tech product.
Self-driving cars have it rough. They have to detect the world around them in fine detail, learn to recognize signals, and avoid running over pets. But hey, at least they'll spend most of their time dealing with other robot cars, not people. That means interacting with people--lots of people--and dogs and trash and pigeons. Unlike a road, a sidewalk is nearly devoid of structure.
Artificial intelligence (AI) is being applied to a number of fields, but just recently, a group of researchers managed to train a deep learning algorithm -- a branch of AI -- to analyze images of distant galaxies and reveal how they formed and evolved over time. Understanding galactic evolution is one of the key puzzles in gaining more insight into the formation of our universe. We have a bunch of ground and space-based telescopes that can peer through the cosmos and capture these galaxies, but understanding every stage of evolution for an individual galactic candidate hasn't entirely been possible. This is because galaxies change their face over several billion years and our telescopes can only show how a galaxy looked at one particular period of time. As light from distant space objects takes millions to billions of years to travel, we always have the option to peer deeper into the cosmos and look back in time at other younger galaxies.
In order for a machine learning system to operate at its peak capacity and offer the best insights, it needs premium raw data directly from the client base. However, that data often remains inaccessible until the system itself is up and running. The algorithms inside a machine learning platform which analyse, automate and provide predictions? Or the invaluable data which drives the learning curve? Although confusing at first glance, the answer may be simpler than imagined.
"Well, if droids could think, there'd be none of us here, would there?" - Obi-Wan Kenobi Fully autonomous robots with humanlike capabilities might yet be some way away, still the realm largely of science fiction, but lawmakers, legal experts and manufacturers are already engaged in debates about the ethical challenges involved in their production and use, and their legal status, their "legal personality": ultimately, whether it's these machines or human beings who should bear responsibility for their actions. There are questions about whether and how much self-learning machines should be taking independent decisions about moral equivalence involving ethical choices which have traditionally been the preserve of humans. At the extreme, for example, can it be right for a machine to decide to kill an enemy combatant that it has identified without resort to human agency? Or is the robot morally no different from a "brainless" weapon? Is there an inherent difference morally between a "sexbot" and a standard, brainless sex toy?