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) …
HP Inc has partnered Singapore's Nanyang Technological University (NTU) to launch a research facility that focuses on digital manufacturing technologies and 3D printing. Opened with a US$84 million investment, the new HP-NTU Corporate Innovation Lab is the US vendor's largest university research partnership worldwide and first for the Asian region, it said in a statement Tuesday. Country's government has introduced initiatives to train 12,000 people in artificial intelligence skillsets, including industry professionals and secondary school students. The facility is supported by a team of 100 researchers and staff, and will focus its efforts on digital manufacturing technologies, specifically, in 3D printing, artificial intelligence (AI), machine learning, new materials and applications, cybersecurity, and customisation, HP said. To start off, the lab would work on 15 projects to better understand, for instance, advanced polymers for manufacturing applications, the development of bioprinting models for the printing of viable tissues, and tapping AI to help printers predict and resolve issues autonomously.
Machine learning is finding many applications in areas you would never imagine. More recently the artificial intelligence medium has been adapted for use in industry as diverse as travel, art, earthquake detection, healthcare and more. Now, machine learning is even helping fight cancer, one of our world's deadliest and most complex diseases. One way it is doing this is by predicting cancer before it even happens. Yes, in this sense, machine learning is almost revealing psychic-like abilities but there is no magic here.
Deep Learning is quickly bringing computer vision to a spot where businesses can start integrating powerful models in everyday use. Some of the challenges that businesses had with adopting AI in the past -- who will build and maintain these models, how do I deploy them, are they accurate enough are now addressed in a new platform from Unleashlive that aims to connect model developers to end users. I am launching a crowd counting model on this AI platform. This platform will allow businesses to run their clips or images or live stream video through my model and get instant results without any headaches related to setting up an environment or GPU. You can now have a 1 hour free trial of this model at Unleash Cloud.
WILSONVILLE, Ore.--(BUSINESS WIRE)--FLIR Systems, Inc. (NASDAQ: FLIR) today announced the FLIR Firefly camera family, the industry's first deep learning inference-enabled machine vision camera. The FLIR Firefly, which integrates the Intel Movidius Myriad 2 Vision Processing Unit (VPU), is designed for image analysis professionals using deep learning for more accurate decisions, and faster, easier system development. Traditional rules-based software is ideal for straightforward tasks such as barcode reading or checking a manufactured part against specifications. The FLIR Firefly combines a new, affordable machine vision platform with the power of deep learning to address complex and subjective problems such as recognizing faces or classifying the quality of a solar panel. The FLIR Firefly leverages the Intel Movidius Myriad 2 VPU's advanced capabilities in a compact and low-power camera, ideal for embedded and handheld systems.
SAP has expanded its SAP Leonardo Machine Learning platform to enable developers and data scientists to create more sophisticated artificial intelligence (AI) tools and drive business value. The updates come alongside a new investment in intelligent robotic process automation (RPA) intended to help eliminate time-intensive manual tasks across the firm's portfolio, as noted in a Tuesday press release.
Online shopping is no longer just a fad, it's a lifestyle. People everywhere are taking advantage of the convenience of ordering anything -- and I mean anything -- and having it delivered right to their doorstep. In order to capitalize on this shift in lifestyle, retailers have taken to the ecommerce world and are setting new norms for online businesses across the globe. Ecommerce is continuing to get more and more competitive. With technology constantly evolving, so is the online shopping market.
On Friday, October 25th, Christie's will conduct a very unusual sale. As part of a three-day Prints & Multiples event, it's auctioning off the Portrait of Edmond Belamy, a canvas in a gold frame that shows the smudged figure of what looks like an 18th century gentleman. It's expected to fetch a modest price, somewhere between $7,000 and $10,000, but the artwork's distinguishing feature is that it was "created by an artificial intelligence," says Christie's. "And when it goes under the hammer, [it] will signal the arrival of AI art on the world auction stage." But for members of the burgeoning AI art community, there's another attribute that sets the Portrait of Edmond Belamy apart: it's a knock-off. The print was created by Obvious, a trio of 25-year-old French students whose goal is to "explain and democratize" AI through art.
Conference by Yann LeCun, computer scientist working in machine learning, computer vision, mobile robotics and computational neuroscience, who sees self-supervised learning as a potential solution for problems in reinforcement learning, as it has the advantage of taking both input and output as part of a complete system, making it effective for example in image completing, image transferring, time sequence data prediction, etc. While the model's complexity increases with the addition of feedback information, self-supervised learning models significantly reduce human involvement in the process.
Amazon.com pitched its facial-recognition system in the summer to Immigration and Customs Enforcement officials as a way for the agency to target or identify immigrants, a move that could shove the tech giant further into a growing debate over the industry's work with the government. The June meeting in Silicon Valley was revealed in emails as part of a Freedom of Information Act request by the advocacy group Project on Government Oversight; the emails were published first in the Daily Beast. They show that officials from ICE and Amazon Web Services talked about implementing the company's Rekognition face-scanning platform to assist with homeland security investigations. An Amazon Web Services official who specializes in federal sales contracts, and whose name was redacted in the emails, wrote that the conversation involved "predictive analytics" and "Rekognition Video tagging/analysis" that could possibly allow ICE to identify people's faces from afar -- a type of technology immigration officials have voiced interest in for its potential enforcement use on the southern border. "We are ready and willing to support the vital (Homeland Security Investigations) mission," the Amazon official wrote.
The risk to people's jobs from artificial intelligence, the prospect that machines will displace workers, has a kind of positive flip side, according to some: The possibility that taking away the more mundane parts of work may make those still with a job more productive. That's the premise of a startup in enterprise software that's been blessed with $42 million in the past two years in order to chase down those parts of information work that lie abandoned in dark corners. "I hated logging stuff into Salesforce," reflects Oleg Rogynskyy of his many years in sales and marketing using the marquee CRM software. Rogynskyy is founder and chief executive of San Francisco-based People.ai, a two-and-a-half year old cloud software venture that on Tuesday announced a $30 million Series B round of funding from venture capital firm Andreessen Horowitz. The new money follows seed investment from Y Combinator, Index Ventures, Shasta, and a group of angel investors, and an A round led by Lightspeed Venture Partners.