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Using AI with Explainable Deep Learning To Help Save Lives

#artificialintelligence

The Covid-19 crisis has placed the spotlight on the healthcare systems around the world. It placed an additional strain on systems that in many cases were already under stress to meet demand and led to a growth in digital medicine. A video from the BBC observers that Covid-19 brings remote medicine revolution to the UK "Apps which allow doctors to connect with patients remotely have been available for a while, but the coronavirus pandemic has seen doctors finding new ways to consult with critical patient care, including reviewing scans and X-rays from home." McKinsey in an article relating to the US healthcare situation and entitled "Preparing for the next normal now: How health systems can adopt a growth transformation in the COVID-19 world" state that "Covid-19 unprecedented impact on health, economies, and daily life has created a humanitarian crisis. Health systems have been at the epicenter of the fight against COVID-19, and have had to balance the need to alleviate suffering and save lives with substantial financial pressures."


AI Writes About AI - Robot Writers AI

#artificialintelligence

Editors and writers curious about AI's ability to generate long-form writing will want to check-out this piece by SEPGRA, an economic think tank. The group decided to give GPT-3 -- one of the world's most powerful AI text generators -- a run for its money by inputting one, simple phrase and asking GPT-3 to respond. The phrase: "Write an essay about text written by AI." The resulting 900-word essay published in this article is emblematic of the tech's current prowess. Essentially: The piece begins with an excellent focus on the specific topic, but becomes ever-more generalized as the article unfolds. In fact, by the close of the essay, GPT-3 completely veers-off into a discussion of AI's oft-reported ability to beat the world's greatest chess masters.


Robots in 2022: Six robotics predictions from industry-leading humans

#artificialintelligence

The past five years have seen robots move from a developing technology in a number of sectors to an indispensable tool supporting operations across a vast range of enterprises. Logistics, manufacturing, materials handling, inspection, healthcare... the list of sectors that have "gone robotic" in short order is long indeed, and with industries like construction and delivery reaching a tipping point, there can be no denying we're in the midst of a robotic renaissance. An executive guide to the technology and market drivers behind the $135 billion robotics market. Automation technologies are maturing, developers are merging and standardizing engineering approaches, and technologies like AI and machine vision are intersecting to unlock a new wave of capability and efficiency. We surveyed some of the most respected and innovation-minded executives shaping the world of automation on what they expect in 2022 and beyond.


Autonomous car arrives at Florida Poly to enhance research at new facility - Tampa, Florida - Eminetra

#artificialintelligence

Lakeland, Florida-Researcher at Florida Institute of Technology Advanced Mobility Institute We are starting a new phase of work on self-driving car testing and verification. The study is moving from software testing to hardware testing at a new on-campus simulation facility, partially funded by a $ 350,000 grant from the National Science Foundation. The highlight of the project, the deceived autonomous Ford Fusion sedan, has recently arrived in Florida Poly. The car is equipped with sophisticated electronics and has been transformed into a drive-by-wire autonomous test vehicle. "Drive-by-wire means that electronic signals can control steering, acceleration, and braking," said Dr. Onur Toker, an associate professor and researcher in electrical and computer engineering.


Council Post: Three Ways To Make AI More Human-Centered

#artificialintelligence

Omneky utilizes state-of-the-art deep learning to empower businesses to grow. Human-centered AI promotes the idea that foundation models should be built on the basis of understanding human emotion, language and behavior. To accomplish this, it pairs the usual extensive datasets with human science in order to more effectively tailor its outputs to the common user. At my company, we implement this technique in three different areas: informed decision-making, reliability and scalability and when creating customer-specific advertisements that allow us to appeal to a wide range of audiences. Human-centered AI can prove to be a valuable and informed decision-making tool for companies.


Meta launches PyTorch Live to build AI-powered mobile experiences

#artificialintelligence

During its PyTorch Developer Day conference, Meta (formerly Facebook) announced PyTorch Live, a set of tools designed to make AI-powered experiences for mobile devices easier. PyTorch Live offers a single programming language -- JavaScript -- to build apps for Android and iOS, as well as a process for preparing custom machine learning models to be used by the broader PyTorch community. "PyTorch's mission is to accelerate the path from research prototyping to production deployment. With the growing mobile machine learning ecosystem, this has never been more important than before," a spokesperson told VentureBeat via email. "With the aim of helping reduce the friction for mobile developers to create novel machine learning-based solutions, we introduce PyTorch Live: a tool to build, test, and (in the future) share on-device AI demos built on PyTorch."


AI to see stricter regulatory scrutiny starting in 2022, predicts Deloitte

#artificialintelligence

So far, artificial intelligence (AI) is a new enough technology in the business world that it's mostly evaded the long arm of regulatory agencies and standards. But with mounting concerns over privacy and other sensitive areas, that grace period is about to end, according to predictions released on Wednesday by consulting firm Deloitte. Looking at the overall AI landscape, including machine learning, deep learning and neural networks, Deloitte said it believes that next year will pave the way for greater discussions about regulating these popular but sometimes problematic technologies. These discussions will trigger enforced regulations in 2023 and beyond, the firm said. Fears have arisen over AI in a few areas.


Council Post: 13 Industries Soon To Be Revolutionized By Artificial Intelligence

#artificialintelligence

Artificial intelligence (AI) and machine learning (ML) have a rapidly growing presence in today's world, with applications ranging from heavy industry to education. From streamlining operations to informing better decision making, it has become clear that this technology has the potential to truly revolutionize how the everyday world works. While AI and ML can be applied to nearly every sector, once the technology advances enough, there are many fields that are either reaping the benefits of AI right now or that soon will be. According to a panel of Forbes Technology Council members, here are 13 industries that will soon be revolutionized by AI. The enterprise attack surface is massive.


Evolution of Cresta's machine learning architecture: Migration to AWS and PyTorch

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Cresta Intelligence, a California-based AI startup, makes businesses radically more productive by using Expertise AI to help sales and service teams unlock their full potential. Cresta is bringing together world-renowned AI thought-leaders, engineers, and investors to create a real-time coaching and management solution that transforms sales and increases service productivity, weeks after application deployment. Cresta enables customers such as Intuit, Cox Communications, and Porsche to realize a 20% improvement in sales conversion rate, 25% greater average order value, and millions of dollars in additional annual revenue. This post discusses Cresta's journey as they moved from a multi-cloud environment to consolidating their machine learning (ML) workloads on AWS. It also gives a high-level view of their legacy and current training and inference architectures.


Engineers create robotic bird that can grasp branches

Daily Mail - Science & tech

Engineers have created a falcon-inspired robot that can take-off, land and grasp branches just like a real bird – and even catch objects in the air. Developed by a team at Stanford University, SNAG (stereotyped nature-inspired aerial grasper) replicates the impressive grasp of peregrine falcons. In place of bones, SNAG has a 3D-printed skeletal structure – which took 20 iterations to perfect – as well as motors and fishing line in place of muscles and tendons. Thanks to a quadcopter drone attached, SNAG can fly around in its quest to catch and carry objects and perch on various surfaces. Coupled with cameras and sensors, SNAG could be used for monitoring the climate, wildlife and natural ecosystems – as part of efforts to prevent forest fires for example – as well as for search and rescue efforts.