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) …
One of the effects of the COVID-19 public health emergency is that it has added urgency and speed to technology transformations that were already occurring, such as cloud migration and deployments of artificial intelligence and machine learning. At few places is that shift more pronounced than at Rochester, Minnesota-based Mayo Clinic, which six months before the pandemic arrived in the United States had embarked on a decade-long strategic partnership with Google Cloud. "Our partnership will propel a multitude of AI projects currently spearheaded by our scientists and physicians, and will provide technology tools to unlock the value of data and deliver answers at a scale much greater than today," said Mayo CIO Cris Ross at the time. Shortly after the partnership was announced, toward the end of 2019, the health system hired longtime CIO Dr. John Halamka as president of Mayo Clinic Platform, tasking him with leading a cloud-hosted, AI-powered digital transformation across the enterprise. In the months since, like the rest of the world, Mayo Clinic has found itself tested and challenged by the pandemic and its ripple effect – but has also embraced the moment as an inflection point, a powerful moment to push forward with an array of new use cases to drive quality improvement, streamline efficiency, and boost the health of patients and populations in the years ahead.
If you think neural nets are black boxes, you're certainly not alone. While they may not be as interpretable as something like a random forest (at least not yet), we can still understand how they process data to arrive at their predictions. In this post we'll do just that as we build our own network from scratch, starting with logistic regression. If you think neural nets are black boxes, you're certainly not alone. While they may not be as interpretable as something like a random forest (at least not yet), we can still understand how they process data to arrive at their predictions.
As IBM (IBM) and Red Hat team up with Adobe (ADBE) on artificial intelligence and personalization technology, Adobe stock is trying to customize a new base and buy point. The IBD Long-Term Leader is also setting its sights on a fresh all-time high. In July, Adobe, IBM and Red Hat announced a strategic partnership aimed at accelerating the digital transformation and strengthening of real-time data security for enterprises, with a focus on regulated industries such as banking and health care. Building on IBM's acquisition of Red Hat in 2018, the goal of the partnership is to "enable companies to deliver more personalized experiences across the customer journey, driving improved engagement, profitability and loyalty." Having already made its own successful shift to a software-as-a-service model, Adobe has become a major player in cloud-based creative, personalization and analytics products.
Google Home smart speakers, the company dryly warns in a note buried deep on a support page, can "incorrectly" record their users even when they haven't first said an activating wake phrase like "hey, Google." It just so happens that, at least for a brief period of time this summer, those microphone-enabled devices were doing exactly that. The company admitted Monday, following a report by Protocol, that it had updated an unspecified number of Google Assistant-enabled devices to respond to auditory cues beyond the user-specified wake phrase. Google told Protocol this was a mistake that was quickly fixed, but did not appear to address the larger privacy concerns that such a mistake signifies. After all, how are users supposed to trust a live microphone in their home if someone can remotely update it to be even more invasive without their knowledge?
The experimental use of AI spread across sectors and moved beyond the internet into the physical world. Stores used AI perceptions of shoppers' moods and interest to display personalized public ads. Schools used AI to quantify student joy and engagement in the classroom. Employers used AI to evaluate job applicants' moods and emotional reactions in automated video interviews and to monitor employees' facial expressions in customer service positions. It was a year notable for increasing criticism and governance of AI related to emotion and affect.
The University of Florida and NVIDIA Tuesday unveiled a plan to build the world's fastest AI supercomputer in academia, delivering 700 petaflops of AI performance. The effort is anchored by a $50 million gift: $25 million from alumnus and NVIDIA co-founder Chris Malachowsky and $25 million in hardware, software, training and services from NVIDIA. "We've created a replicable, powerful model of public-private cooperation for everyone's benefit," said Malachowsky, who serves as an NVIDIA Fellow, in an online event featuring leaders from both the UF and NVIDIA. UF will invest an additional $20 million to create an AI-centric supercomputing and data center. The $70 million public-private partnership promises to make UF one of the leading AI universities in the country, advance academic research and help address some of the state's most complex challenges.
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The AI Foundation, which ambitiously hopes to develop "ethical," trainable AI agents to complete tasks, today closed a $17 million financing round. A spokesperson said the proceeds will be used to scale the company's platform that allows people to create personas mirroring their own. As the pandemic makes virtual meetups a regular occurrence, the concept of personal AI -- AI that's tailored around one's life or that replicates personalities -- is rising to the fore. Startups creating virtual beings, or artificial people powered by AI, have raised more than $320 million in venture capital to date. As my colleague Dean Takahashi points out, these beings are a kind of precursor for the Metaverse -- the universe of virtual worlds that are all interconnected, like in novels such as Snow Crash and Ready Player One.
BlackBerry is moving further into the automotive space with its latest announcement of a partnership with electric vehicle startup Canoo. BlackBerry will be providing its QNX embedded system platform to Canoo to serve as the operating system for its fleet of semi-autonomous electric vehicles, which are due out in 2021. Canoo is a California-based startup building EVs with a novel goal in mind: Providing a membership-based vehicle rental program that charges a flat rate for a bundle of services, including insurance, vehicle registration, and the Canoo vehicle itself. BlackBerry's role in the partnership involves licensing its QNX technology, along with the QNX OS for Safety 2.0, to Canoo to use as the backbone of its automated driver-assistance systems (ADAS). Canoo's vehicles will be equipped on launch with level 2 autonomous features.
It is hoped a new partnership will put Nelson on the map as place to study and advance artificial intelligence technology. Nelson Artificial Intelligence Institute (NAI) is re-locating to the Nelson Marlborough Institute of Technology's campus, in a move the organisations say will bolster opportunities to train in and develop the technology. Artificial intelligence is an area of software engineering where computers "learn" how to mimic human cognitive functions. Products under development at NAI – which set up in Nelson last year – aimed to help increase both efficiency and environmental sustainability in operations including aquaculture, and commercial fishing. They included a model to detect and classify microscopic algae that could help protect animals like shellfish.