The AI icon Andrew Ng is quoted as saying, “Artificial intelligence is the new electricity.” For anyone reading this, that’s a powerful analogy.Electricity empowers our surge in science and globalization over the past 100+ years, but the analogy falters in one overlooked regard.Many are unaware, but those of us who forget history are condemned to repeat it.Elon Musk has been quoted telling governors that AI poses an “existential risk” to humanity.It’s our duty to be wiser, stronger, and more thorough, as the global risks of AI cause the stakes to be at an all-time high.Plan it, build it, blow it up — the stories of AI in the military have fueled classic movies like War Games, and even given rise to some of the biggest cautionary mistakes of our time.
It seems Apple wants to get you talking.The company reportedly purchased PullString, a startup that develops voice recognition apps, according to a report by Axios on Friday.The deal is worth at least $30 million, according to Axios, and could help Apple's Siri compete with other voice-activated services on the market.PullString develops voice enabled apps that run on the Alexa and Google Home Assistant platforms.Its software also powers Hello Barbie, the talking version of Mattel's doll that can have conversations with children.Apple and PullString didn't immediately respond to requests for comment.
Researchers at the non-profit AI research group OpenAI just wanted to train their new text generation software to predict the next word in a sentence.Elon Musk has been clear that he believes artificial intelligence is the “biggest existential threat” to humanity.Musk is one of the primary funders of OpenAI and though he has taken a backseat role at the organisation, its researchers appear to share his concerns about opening a Pandora’s box of trouble.Rather than releasing the fully trained model, it’s releasing a smaller model for researchers to experiment with.The researchers used 40GB of data pulled from 8 million web pages to train the GPT-2 software.Here are the next few machine-paragraphs that were produced by the machine:
Artificial Intelligence is helping to guide and support some 50 breast cancer patients in rural Georgia through a novel mobile application that gives them personalized recommendations on everything from side effects to insurance.So the information available on the app--which runs on a tablet computer--regularly changes based on each patient's progress.Mynatt, who is also Executive Director of the Institute for People and Technology, believes that MyPath is the first healthcare app capable of personalization (through its application of AI) for holistic cancer care.In January MyPath was recognized by iSchools, a consortium of some 100 institutions worldwide (including Georgia Tech) dedicated to advancing the information field.According to iSchools, "the Award Committee felt [that Jacobs' work] was timely and important, and lauded its impact in how patients manage their health."The report, Improving Cancer-Related Outcomes with Connected Health, aimed to "help patients manage their health information and participate in their own care," according to a Georgia Tech story at the time.
Apple seems to want to expand the speed at which Siri is implemented in 3rd-party products.At least that’s what it’d seem, given their acquisition of the group called Pullstring.Oh, they’ve got their own conversational AI, too.Pullstring was created by a group of former Pixar executives, and made its way in the world first with toys.They helped make the app for the nightmare that was Hello Barbie, it would seem.Pullstring, it would seem, wasn’t exactly at the center of the legal situation that surrounded the launch of said Barbie – somehow or another.
Ford and Volkswagen are still hard at working forging the details of a partnership that is set to expand beyond the announcement the pair made at the Detroit Auto Show, potentially opening the door for VW to invest in a company that caught Ford's eye in 2017.It's possible that Ford and VW's partnership could see the German automaker "work[ing] with and investing in" Argo AI, Bloomberg reports, citing sources familiar with the ongoing negotiations.Neither Ford nor VW immediately returned Roadshow's requests for comment, and both automakers declined to discuss specifics with Bloomberg.According to Bloomberg's sources, the two value Argo AI at approximately $4 billion.Volkswagen and Ford continue to discuss how the two can expand a partnership that was first announced in January after months of reports.For now, the partnership is limited to commercial vans and midsize trucks, with Ford building a new midsize truck for both OEMs by 2022.
It's always nice to hear that some new shops are still opening in the middle of this quagmire of high street doom.Shopping behemoth Amazon, which has been accused of ruining the high street many times, has apparently acquired a space in London for its first UK branch of Amazon Go.There are ten Amazon Go stores in the US already, although they're clustered in three cities (Chicago, San Francisco and Amazon's home city of Seattle).They're a new concept in retail, whereby a supremely complex network of cameras and AI equipment works out what you've bought without you having to go through a checkout.Basically, you download the Amazon Go app before you enter, then you just walk around picking stuff up and putting it in your pocket/handbag/mouth, and when you're done, you walk out.The shop works out what you bought and bills you for it through the Amazon app, which sends you an itemised receipt.
Similar claims were made with the introduction of radio, the internet and now social media.Facebook long wanted to “make the world more open and connected,” but recently revised this to “Give people the power of community to bring the world closer together.”Stronger human connections don’t appear to be happening, though.Thirty-one percent of Facebook users have changed their settings to be less connected to friends because of politics.An AI-driven (not AI-enabled) platform that forces curiosity, disallows rants and fake news and helps people learn about each other’s perspectives is possible with today’s technology.When we follow someone on existing social platforms, we are provided with an experience into the whole person (or at least the person they want us to see).
Starting 17 years ago to create scalable, data-driven impacts, Absolutdata has adopted the use of AI and machine learning as a part of their solution.Anil Kaul: Since beginning in 2001, our goal has always been to use data and analytics to create scalable impact for organizations through recommendations.Our focus used to be more on using data and analytics as a service that would provide insights for companies to make the right decisions.We’re still doing that, but we’ve now added AI and machine learning into the mix.We’re combining AI with a technology platform to provide data-driven recommendations and solutions for sales and marketing teams.The client can use that calendar as a basis for planning promotions, adding and subtracting things where they see fit, but they have a solid starting point.
Cardiovascular disease (CVD) is the leading cause of death worldwide.About 610,000 people die of heart attacks and strokes in the U.S. every year, according to the Center for Disease Control and Prevention, and worldwide, the number stands at about 17.9 million.CVD isn’t impossible to predict, fortunately — there’s a strong risk factor in coronary artery calcium (CAC) deposits that restrict blood flow.Unfortunately, measuring CAC requires experts who can closely inspect computerized tomography (CT) scans for worsening signs and symptoms.But there’s hope yet for a more automated approach.A newly published paper on the preprint server (“Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT“) proposes an artificially intelligent (AI) system that can evaluate and score CAC without human supervision.
The ability of AI to generate fake visuals is not yet mainstream knowledge, but a new website — — offers a quick and persuasive education.The site is the creation of Philip Wang, a software engineer at Uber, and uses research released last year by chip designer Nvidia to create an endless stream of fake portraits.The algorithm behind it is trained on a huge dataset of real images, then uses a type of neural network known as a generative adversarial network (or GAN) to fabricate new examples.“Each time you refresh the site, the network will generate a new facial image from scratch,” wrote Wang in a Facebook post.He added in a statement to Motherboard: “Most people do not understand how good AIs will be at synthesizing images in the future.”The underlying AI framework powering the site was originally invented by a researcher named Ian Goodfellow.
The California Department of Motor Vehicles released reports from companies currently testing self-driving cars — like Apple, Alphabet’s Waymo, and GM Cruise.Google pledged to spend $13 billion on U.S. datacenters and offices in 24 states this year, and driverless truck startup TuSimple raised $95 million at a $1 billion valuation, joining the ranks of Aurora and Nuro as one of the best-funded companies in the autonomous vehicle industry.In the future, these agencies will be required to make a good faith effort to provide data, computing resources, and models to AI researchers whenever possible and to “prioritize AI” investments in their budgets.France recently took the wraps off a $1.69 billion (€1.5 billion) initiative aimed at transforming the country into a “global leader” in AI research and training.And South Korea last spring unveiled a multiyear, $1.95 billion (KRW 2.2 trillion) effort to strengthen its R in AI, with the goal of establishing six AI-focused graduate schools by 2022 and training 5,000 AI specialists.China’s AI plan is perhaps the most ambitious: In two policy documents, “A Next Generation Artificial Intelligence Development Plan” and “Three-Year Action Plan to Promote the Development of New-Generation Artificial Intelligence Industry,” the Chinese government laid out its roadmap for cultivating an AI industry worth roughly $147 billion by 2030.
But it’s not always practical; model-free approaches, which aim to get agents to directly predict actions from observations about their world, can take weeks of training.Model-based reinforcement learning is a viable alternative — it has agents come up with a general model of their environment they can use to plan ahead.But in order to accurately forecast actions in unfamiliar surroundings, those agents have to formulate rules from experience.Toward that end, Google in collaboration with DeepMind today introduced the Deep Planning Network (PlaNet) agent, which learns a world model from image inputs and leverages it for planning.It’s able to solve a variety of image-based tasks with up to 5,000 percent the data efficiency, Google says, while maintaining competitiveness with advanced model-free agents.The source code is available on GitHub.
Well, we are not going to discuss it!Today, iOS has many useful and innovative features for both individuals and enterprises.Every year, Apple brings a newer and improved version of iOS that boost the iOS app development services.AR is not limited to games.As the popularity of IoT is surging in the corporate sector, the iOS app developers will certainly grab the opportunities given by the businesses globally.AI (Artificial Intelligence) and ML (Machine Learning) are among the most popular emerging technologies.
A big trend in AI is the transition from cloud to edge computing.Instead of AI devices doing their computation remotely via an internet connection, they’re increasingly handling things locally, with algorithms working directly on-device.Benefits of this approach can include faster results, greater security, and more flexibility.Seattle-based startup Xnor is certainly right at the bleeding-edge.This week the company unveiled a prototype AI camera that runs entirely off solar power — no battery or external power source required.The camera has a piddling 320 x 320 resolution, an FGPA chip to handle processing, and is loaded with a state of the art object recognition algorithm.
OpenAI, the AI research company cofounded by Elon Musk, has made an AI tool which can generate fake text.The company isn't open-sourcing the system because it fears it could be misused, for example to infinitely generating negative or positive reviews.AI research nonprofit OpenAI has created a system that can generate fake text from a single line — and it's not open-sourcing the code for fear of misuse.OpenAI was cofounded by tech mogul Elon Musk, and its sponsors include Silicon Valley heavy-hitters such as Peter Thiel and Amazon Web Services.Last year it gained the praise of Bill Gates after it built a team of five neural networks capable of beating human players in the computer game "Dota 2."Read more: Bill Gates hails "huge milestone" for AI as bots work in a team to destroy humans at video game "Dota 2"
Facebook has revealed additional details about the development of Portal, its first in-house video calling device, including the tidbit that early prototypes included a motor that let Portal swivel to face video subjects.A motorized camera was also seen as impractical because it did not improve Portal’s reliability, Facebook engineers said in a blog post today.Work to build Portal began two years ago as part of the secretive Building 8 project for exploring hardware products at Facebook’s headquarters in Menlo Park, California, Portal team lead and Facebook VP Rafa Camargo told VentureBeat ahead of the device’s debut last fall.Portal video calls with Facebook Messenger rely on Smart Camera computer vision, zooming and moving to frame shots and account for each of the people in a room — even people up to 20 feet from the camera.A 140-degree field of vision for the fish-eyed wide angle camera lens means Portal doesn’t need to move in order to see what’s happening.Smart Volume is also used to amplify, reduce, and modulate volume to optimize call sound.
California-based nonprofit artificial intelligence lab OpenAI has cautiously revealed the capabilities of its latest AI, which it’s calling GPT-2.The system can generate surprisingly convincing text to follow any sample you throw at it, like a news article headline, or the opening paragraph of a fictional tale, or a prompt for an essay on a specific topic.So, first up – yes, it’s not perfect, and it can sometimes make mistakes, such as repeating itself and losing the plot.OpenAI noted that it can sometimes take a few tries to get a good result; the quality of its output depends on its familiarity with the subject matter in the prompt.It can perform poorly if it hasn’t encountered the content in the prompt before.However, the organization says it can deliver better results than other AI models trained on specific datasets, like Wikipedia articles – without training on those same datasets itself.
When you visit the website "This Person Does Not Exist" you will likely see a face smiling back at you.Seems innocent enough -- until you realize the face is not actually real, but generated by a neural network algorithm.That person is not real.The website's neural network algorithm codes a "facial image from scratch from a 512 dimensional vector", according to Phillip Wang, who created and posted about it in a Facebook group on Feb. 12.Wang suggested he created the site to "raise awareness for what a talented group of researchers made at Nvidia over the course of 2 years," according to a post in Hacker News.The technology is based on a state of the art Nvidia-designed AI known as StyleGAN -- a neural network that can separate aspects of an image to learn and generate new images.
Java developers would be clued in to race conditions in their projects, if a thread sanitizer proposed comes to fruition.Project Tsan, proposed in the OpenJDK community, would explore and incubate a thread-sanitizing feature that would be integrated into the HotSpot JVM and the JVM tool interface.Thread sanitizing would let Java users see data race conditions.With a data race, multiple threads access shared data and try to change it at the same time, leading to erroneous and unexpected behaviors.The project was proposed by Google’s Jean Christophe Beyler, who said the Google platform team has worked on a thread sanitizer project internally.The Project Tsan thread-sanitizing proposal follows two previous proposals, also by Beyler: In November 2018, he proposed Atlantis, and in July 2018 he proposed Java Thread Sanitizer.