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Automation in Pathology Will be Enabled by Artificial Intelligence

#artificialintelligence

Years ago, my mother worked for a major airline company in reservations. Her job included booking and cancelling reservations, checking fares and re-booking passengers. She was also responsible for printing tickets to be mailed to the traveler(s). Her office in suburban Chicago occupied several floors of a large office building with enough wires, I was told as a child, to circle the globe seven times to carry out those functions as well as printing tickets. This system, of course, meant you had to book your ticket far enough in advance to actually get your ticket in the mail.


Edge to Core AI Futures for OEMs

#artificialintelligence

The ability of computers to autonomously learn, predict, and adapt using massive datasets is driving innovation and competitive advantage across many industries and applications. The artificial intelligence (AI) is budding faster and prompting businesses to hop aboard the next big wave of computing to uncover deeper insight, quickly resolve their most difficult problems, and differentiate their products and services. Whether the goal is to build a smarter city, power an intelligent car, or deliver personalized medicine, we've only just begun to understand the real potential of AI. For the implementation of AI, HPE OEM has the expertise, edge to core technologies and partner ecosystem to help explore different use cases, experiment with AI and data technologies, and build the solution to be enterprise-ready. HPE OEM will benefit at all stages of the journey from formulating a roadmap through implementation and data migration.


Lytx launches new AI-powered features to help combat distracted driving

#artificialintelligence

Using precise technology, this new driver-powered approach to safety is a simple, but powerful way for drivers to be more proactive and accountable for their own improvement, while giving management the necessary visibility and data to effectively monitor and intervene if needed. With these new MV AI-powered updates, when an event is detected, the DriveCam Event Recorder will issue a real-time in-cab alert to help drivers recognize and address their own risky behaviors and self-correct in the moment. Depending on the behavior, the alert will include a light and/or spoken phrase. With Lytx's ability to detect more than 60 driving behaviors with greater than 95% accuracy, its in-cab alerts are some of the most precise in the industry. Drivers will also have access to new check-in tools allowing them to review their own video and performance after-the-fact, including behavior duration.


What is Reinforcement Learning and 9 examples of what you can do with it.

#artificialintelligence

Reinforcement Learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. It can be used to teach a robot new tricks, for example. Reinforcement learning is a behavioral learning model where the algorithm provides data analysis feedback, directing the user to the best result. It differs from other forms of supervised learning because the sample data set does not train the machine.


The Next Generation Of Artificial Intelligence (Part 2)

#artificialintelligence

Deep learning pioneer Yoshua Bengio has provocative ideas about the future of AI. For the first part of this article series, see here. It has only been 8 years since the modern era of deep learning began at the 2012 ImageNet competition. Progress in the field since then has been breathtaking and relentless. If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today.


The Next Generation Of Artificial Intelligence (Part 2)

#artificialintelligence

For the first part of this article series, see here. It has only been 8 years since the modern era of deep learning began at the 2012 ImageNet competition. Progress in the field since then has been breathtaking and relentless. If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Methods that are currently considered cutting-edge will have become outdated; methods that today are nascent or on the fringes will be mainstream.


Watch a self-driving Roborace car drive directly into a wall

Engadget

Robots still have some trouble handling the basics when put to the test, apparently. Roborace team SIT Acronis Autonomous suffered an embarrassment in round one of the Season Beta 1.1 race after its self-driving car abruptly drove directly into a wall. It's not certain what led to the mishap, but track conditions clearly weren't at fault -- the car had been rounding a gentle curve and wasn't racing against others at the same time. It wasn't the only car to suffer a problem, either. Autonomous Racing Graz's vehicle had positioning issues that got it "lost" on the track and cut its race short.


As Tesla full self-driving goes beta, Autopilot is rated a 'distant second' to GM's Super Cruise

ZDNet

A decade after Google launched its self-driving car project now known as Waymo, the idea of a fully autonomous car remains elusive – even for Tesla owners, some of whom got'full self-driving' (FSD) in beta last week. The FSD feature is part of Autopilot from Tesla, but the auto-maker's technology remains a "distant second" to General Motors' less-recognized Super Cruise feature, according to consumer advocate organization Consumer Reports. Consumer Reports says Super Cruise is the best active driver-assistance system on the market for the second year running, followed some way back by Tesla's vaunted Autopilot. Overall, GM's Super Cruise driver assistance system from the Cadillac CTS scores 69 points, followed by Tesla's 57 points in the Model Y, and Ford's more modestly named Co-Pilot, which scores 52 points in its Lincoln Corsair. European and South Korean car makers rank lower than US brands.


Envisioning Technology's Role in Future Elections - Connected World

#artificialintelligence

The 2020 presidential election in the United States is just around the corner. This year, the election has been particularly controversial in part because of the ongoing COVID-19 pandemic and the restrictions the virus has placed on in-person gatherings. In a world in which connected devices and IoT (Internet of Things) technologies have enabled everything from autonomous vehicles to robotic surgery, it seems like there should be other options for casting votes besides sending paper ballots in by mail or turning them in by hand. However, concerns (both legitimate and overblown) about election-outcome accuracy and voter privacy have held the election process back in many ways from the digital revolution that has permeated almost everything else. Will 2020 be a pivotal year in changing how the American people and "the powers that be" feel about advancing the voting process?


Sony expects sensor business to not recover from Huawei sanctions until FY22

ZDNet

Sony on Wednesday announced it has cut the FY20 profit outlook for its sensor business by 38% to ¥81 billion due to the United States banning Sony from supplying chips to Huawei. In August, the United States issued sanctions that ban Huawei from procuring chips made by foreign manufacturers using US technology, like Sony. Due to this impact, CFO Hiroki Totoki anticipates the sensor business will not make a full recovery in profitability until the fiscal year ended March 2023. "We expect that it will take a long time for other customers to follow the trend to higher-functionality and larger die-sized smartphone cameras that the Chinese customer was leading. Thus, we expect the substantial recovery of profitability driven by these high value-added products to take place in the fiscal year ending March 31, 2023," Totoki said during the results presentation. Despite the hit to Sony's sensor business, the company has raised its annual profit outlook as it expects its gaming business to grow following the launch of the PlayStation 5 (PS5) next month.