1. Google I/O’18: Google Keynote
Go here to watch the video: Watch
2. Google Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone
In addition, there are some common practices in natural conversations — implicit protocols that include elaborations (“for next Friday” “for when?” “for Friday next week, the 18th.
Google Duplex’s conversations sound natural thanks to advances in understanding, interacting, timing, and speaking.
The system also sounds more natural thanks to the incorporation of speech disfluencies (e. Read More
3. Deep Learning for Electronic Health Records
We used deep learning models to make a broad set of predictions relevant to hospitalized patients using de-identified electronic health records. Importantly, we were able to use the data as-is, without the laborious manual effort typically required to extract, clean, harmonize, and transform relevant variables in those records. 00 is perfect, and 0. Read More
4. [1805.02754] Verisimilar Percept Sequences Tests for Autonomous Driving Intelligent Agent Assessment
5. [1805.02856] Reasoning with Sarcasm by Reading In-between
6. [1805.03094] Using Simpson’s Paradox to Discover Interesting Patterns in Behavioral Data
7. [1805.02777] What game are we playing? End-to-end learning in normal and extensive form games
8. [1805.02840] Fighting Accounting Fraud Through Forensic Data Analytics
9. Gigaom | Who Is Conscious?
The following is an excerpt from GigaOm publisher Byron Reese’s new book, The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity. Using 100,000 years of human history as his guide, he explores the issues around artificial general intelligence, robots, consciousness, automation, the end of work, abundance, and immortality. ”
One of those deep questions of our time:
As we explore the concept of building conscious computers, it begs the deeper questions: Who is conscious. Read More
10. The robot swarms that pack your shopping
The first things you notice are the chill in the air, the vast grid on the floor which makes you feel like you’re on the film set of the movie Tron, and the whooshing sound of wheels skimming across aluminium. I’m standing upstairs in an Ocado warehouse in Hampshire, England, where grocery orders are assembled and dispatched, watching hundreds of cuboid robots whizz around on a vast metal grid that stretches out as far as I can see.
The robots, complete with green flashing lights, are collecting crates of food that sit in stacks beneath the grid and delivering them to chutes, where human workers beneath take the number of items they need to complete an order and then the crates are lifted back by the machines and returned to their spot. Read More
11. What to expect at the White House’s big AI meeting
Trump administration officials and Silicon Valley execs will discuss some of the hottest questions about artificial intelligence later this week, including whether the technology can evolve in an ethical way without new government regulations.
Why it matters: The all-day Thursday meeting is the most public effort by the Trump White House so far to wrap its head around AI, although staffers have been talking with people outside the White House about the topic for months. Read More
12. How uncertainty could help a machine hold a more eloquent conversation
An approach to artificial intelligence that embraces uncertainty and ambiguity could paradoxically help make future virtual assistants less confused.
Gamalon, an AI startup based in Cambridge, Massachusetts, developed the new technique for teaching machines to handle language, and several businesses are now testing a chatbot platform that uses it.
The approach lets a computer hold a more meaningful and coherent conversation by providing a way to deal with the multiple meanings that an utterance might convey. Read More
13. Is it Possible that AI Can Solve the Problems Einstein Couldn’t?
Newton’s laws of motion broke down and failed when objects approached the speed of light. When he was reflecting on his greatest discoveries in a book he wrote in 1931, he stated the following:
The human brain seems to be wired to conceive of cross-disciplinary connections that enable us to advance in critical ways at critical moments. The number of calculations a machine can perform, along with the speed it can perform them, vastly outstrips what even the most brilliant geniuses among us can do. Read More
14. Deep Learning in Medical Imaging – Nigel M. Parsad –
In this post, I will demonstrate how to train a fully convolutional network (FCN) to segment subcutaneous adipose tissue found in computed tomographic (CT) abdominal images using NVIDIA’s Deep Learning GPU Training System (DIGITS). Adipose tissue discrimination involves separating subcutaneous adipose tissue (SAT) from visceral adipose tissue (VAT). Figure 1 displays SAT in yellow and VAT in orange. Read More
15. How will we treat VR addiction?
It seems that there are advances in virtual reality (VR) technology on a daily basis. While current devices like the Oculus Rift can have issues, such as causing motion sickness and weighing enough to limit our ability to suspend disbelief, it isn’t inconceivable that these issues will be resolved in the not too distant future. Before we get there, we may want to ask: what happens if people get hooked on virtual life?
What happens if people become addicted to VR experiences. Read More
16. What IBM Watson thinks about God and why it will recant
If you are a lesser mortal, the first lesson is that simply approaching IBM Watson is as difficult as getting in to see the pope. Personality Insight stories from IBM Watson are scattered around the Internet. I chose the Gospel of Matthew in English, and one in Spanish. Read More
17. The 42 Biggest Questions About Life, the Universe, and Everything
In Hitchhiker’s Guide to the Galaxy, Douglas Adams’ classic irreverent tour through the universe, a supercomputer named Deep Thought discovers the answer to “Ultimate Question of Life, the Universe, and Everything” after thinking about the question for 7 million years. The answer, it turns out, is “42,” but Adams never reveals what the “ultimate question” is in the first place. Why Does Conventional Physics Predict a Cosmological Constant That is Vastly Too Large. Read More
18. Did Google Duplex just pass the Turing Test? – Lance Ulanoff –
The entity making the call and appointment was Google Assistant running Duplex, Google’s still experimental AI voice system and the venue was Google I/O, Google’s yearly developer conference, which this year focused heavily on the latest developments in AI, Machine- and Deep-Learning. Read More
19. Artificial Intelligence Moves to Top Corporate Spending Priority
Apple‘s hiring of Google’s former head of search technology and artificial intelligence is the latest sign that AI is becoming a major battleground for tech companies.
Artificial intelligence and machine learning have become “a top 10 spending priority” for corporate chief information officers, Morgan Stanley analyst Katy Huberty said in a note to clients Friday.
Deployment and evaluations of AI and machine learning systems have steadily increased over the last year, Huberty said. Read More
20. Fuck AI! – Cheeky Promo –
— Musical Intelligence
Or what Fucking Gary Fucking V goes on about all the Fucking time — EQ
I don’t want to chat to a bot.
Davide Sciacca; Concerts, recording, lectures
Rupert Cheek; How are they going. Read More
21. Man vs. machine?
Case Western Reserve University’s diagnostic imaging computers outperform human counterparts, but offer tools for better, less costly care
The “deep learning” computers in Anant Madabhushi’s diagnostic imaging lab at Case Western Reserve University routinely defeat their human counterparts in diagnosing heart failure, detecting various cancers and predicting their strength.
“There’s initially always going to be some wincing and anxiety among pathologists and radiologists over this idea—that our computational imaging technology can outperform us or even take our jobs,” said Madabhushi, whose center has made significant diagnostic advances in cardiovascular disease and also brain, lung, breast, prostate and head and neck cancers since opening in 2012. Alex Nason Professor II of biomedical engineering at the Case School of Engineering, contends that his research is not only introducing invaluable diagnostic tools, but also helping to identify those patients with less aggressive disease who may not need more aggressive therapy. Read More
22. AI Researcher Joins Johnson & Johnson, to Make More than $19 Squillion
Three weeks ago, New York Times reporter Cade Metz sent shockwaves through society with a startling announcement that A.
Within hours, I received multiple emails.
Back in innocent waning days of April, just as I contemplated a rejoinder to the NYTimes, I received an unexpected call from CEO Alex Gorsky of Fortune 500 mainstay Johnson and Johnson. Read More
23. Microsoft Tries a New Role: Moral Leader
SEATTLE — Facebook and Google are under the microscope for the ways their technologies can spread misinformation, while Amazon’s growing market power is a regular target of President Trump.
Then there’s Microsoft, a giant that spent most of the 1990s and early 2000s as tech’s biggest company and villain. At the same time, Satya Nadella, its chief executive, and Brad Smith, its president, have emerged as some of the most outspoken advocates in the industry for protecting user privacy and establishing ethical guidelines for new technology like artificial intelligence. Read More
24. The Drive Towards Intelligent Edge Computing? – Data Driven Investor –
The Drive Towards Intelligent Edge Computing. Simple, their services are built into the cloud. The internet boom and the reduction in the cost of computing and storage gave rise to the cloud revolution and companies started using a network of remote servers hosted in large data centers (called the cloud) to store, manage, and process data, rather than using on-premise services in the form of local servers. Read More
25. AI could shield soldiers from information overload.
Sometimes there’s just too much going on for your brain to handle. Probably the latter, because there’s too much else going on for you to care about how many times your friend’s lunch was stolen out of the company fridge (at a more focused moment, you probably would have said something appropriate, like: “reallyyyy tho who does that?”). Army Research Laboratory, in concert with several artificial intelligence and neuroscience experts, is hoping to use artificial intelligence to control the flow of information to soldiers or pilots in stressful combat-related scenarios. Read More
26. Ask a Futurist: Robotophobia & the old/new Human Role
Q2: If humans are better off and have more resources now than ever before, who cares if some have more than others as long as everyone has their needs met.
Travis: Wealth Inequality is a theft of human experience. Wealth disparity will take the form of technology and AI disparity if the wealthy own and control the new means of production and wealth creation. Read More
27. From solar-powered shirts to drunken droids: what the smarthome will look like
If the invention of the ship was also the invention of the shipwreck, as the French philosopher Paul Virilio suggested, then what does that make the invention of the Nest learning thermostat. As our homes fill up with more connected devices, funnelling every aspect of our lives into the great cloud of big data, the answer could be something much more alarming than just a few more faulty appliances cluttering up our cupboards. ”
Designed by the provocative Spanish architect Andrés Jaque’s Office for Political Innovation, the exhibition covers four areas – Home, Public, Planetary, Afterlife – and asks things like “We are all connected, but do we feel lonely?” and “If Mars is the answer, what is the question?” The section on the future of the home sets a sinister tone with: “Could your toaster turn against you?”
Those expecting to find a killer Dualit on the loose will be disappointed, but there are plenty of things that you might think twice about welcoming into your house, if not for their malevolence then for their apparent uselessness. Read More
28. The intelligent explosion is happening – Lars Leegaard Marøy –
Is it possible that we one day can design a machine that surpasses human skill at designing artificial intelligences. If so, this machine could produce a new and even more skilled machine — in a potentially everlasting positive feedback loop. Elon Musk has been warning on the dangers of AI ever since he spoke at an MIT event in 2014, speculating that AI was probably humanity’s “biggest existential threat. Read More
29. 3D reconstruction of hidden branch structures made by using image analysis and AI tech
In cultivation of fruit-bearing trees, thoroughly understanding growth of branches and leaves of individual trees and adequately managing the trees are important in improving their quality. The automatic 3D modeling of plant shapes and branch structures, from images in particular, is an indispensable technology for pursuing both labor-saving cultivation and improvement of product quality. However, it was difficult to reconstruct the structure of objects which have hidden portions, such as plants with branch structures hidden under their leaves. Read More
30. Wealth Beyond Nations – Michael Byrnes –
If we begin from a shared realization that [a] computer automation and artificial intelligence will profoundly replace the need for mass human labor in the production of goods and services within the next 10 to 20 years, and [b] mass human labor has, until now, only expressed itself within three general paradigms of activity (agriculture/mining, mass production, and services), we, then, must attempt to consider some form of an operating premise for a future alternative. The American pioneers sought out their version of survival — and independence — in the harsh wilderness of the Native territories. Read More
31. What Does It See? –
The other day, I ran a photograph of my penis potato through an AI to see what the technology would call it. The AI is called VGG-19, and ImageNet, the image data set used to train and test it, is famous in its own right, providing thousands of labeled images that researchers can use. In other words, I had randomness to thank for why the model could identify a brassiere, but not a painting, a pomegranate, but not a kiwi, a mashed potato, not my potato, a bookshop, but not a book. Read More
32. 12 Huge Announcements from the 2018 Google I/O Keynote
“Make good things together. ”
That’s the phrase that flashed across the screen at the start of Google I/O 2018, the company’s annual conference for developers. Smart Compose will suggest body text like, “How about we meet for tacos,” and “Does next Tuesday work for you?” These updates will roll out to consumers over the next few weeks, with G Suite users waiting a few months. Read More
33. Simulate quantum systems on Amazon SageMaker
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. This burst is N times (!) stronger than the intensity expected from a group of independent particles, where N is the number of particles in the group. Let’s see how we can simulate superradiance from the nuclear spin ensemble of a Nitrogen-Vacancy Center in diamond using TensorFlow and Amazon SageMaker. Read More
34. IEEE AIVR 2018 : IEEE International conference on Artificial Intelligence and Virtual Reality
35. Neurala’s new neural network reduces AI training times from hours to seconds
Artificial intelligence startup Neurala Inc. is claiming a major breakthrough with its deep learning platform, saying it has reduced the time it takes to train a deep neural network from 15 hours to just 20 seconds. ”
However, Neurala’s Lifelong DNN works differently, learning about objects it sees incrementally in a way that mimics the cortical and subcortical circuits of the human brain, thereby allowing it to add new information on the fly. Read More
36. Microsoft’s Project Brainwave, a hardware accelerated deep-learning platform, is available for preview on Azure cloud- Technology News, Firstpost
Microsoft’s Build 2018 was completely focussed on Artificial Intelligence.
Microsoft launched its platform to run deep-learning models in the Azure cloud and on edge devices in real time, called Project Brainwave.
Project Brainwave makes use of field-programmable gate arrays (FPGA) instead of custom chips for particular tasks. Read More
37. Google’s upcoming app for guiding the blind sounds kinda brilliant
Google has been working on improving its AI and computer vision for quite some time now, and it looks like they’re getting pretty darn good at identifying objects. The company is now building a clever Android app that takes advantage of these developments to help the visually impaired understand what’s around them. It can recognize things like printed text, signage, people, and objects like chairs and tables, and notify you of their locations with audio cues like ‘couch at 3 o’clock. Read More
38. Your Smartphone Choice Could Determine If You Get a Loan
Every time you visit a website, you leave behind a trail of information, including seemingly innocuous data, like whether you use an Android or Apple device. ) The store was of particular interest because it already uses a digital footprint, in conjunction with a user’s German credit score, to decide whether buyers qualify for a loan. For example, customers who placed orders through cell phones rather than desktop computers were also more likely to default. Read More
39. AI Isn’t a Crystal Ball, But It Might Be a Mirror
For instance, predictive policing uses data about previous arrests and neighborhoods to direct police to where they might find more crime, and similar systems are used to assess the risk of recidivism for bail, parole, and even sentencing decisions. Reformers across the political spectrum have touted risk assessment by algorithm as more objective than decision-making by an individual.
Yet a 2016 ProPublica investigation revealed that not only were these assessments often inaccurate, the cost of that inaccuracy was borne disproportionately by African American defendants, whom the algorithms were almost twice as likely to label as a high risk for committing subsequent crimes or violating the terms of their parole. Read More
40. Virtual reality technology opens new doors of (spatial) perception
, May 9, 2018 — We rely on our ears to tell us where sounds — from the chirp of a bird to the call of your name in a crowd — are coming from.
At the 175th Meeting of the Acoustical Society of America, held May 7-11, 2018, in Minneapolis, Minnesota, Stecker will survey his team’s use of virtual reality and augmented auditory reality to study how people use explicit and implicit sound cues.
Another ongoing study, meant to simulate a busy cocktail party, looks at how differences in acoustics and the resultant differences in sound qualities, echoes and reverberations influence spatial awareness. Read More
41. Microsoft is taking autocorrect to the next level
Microsoft is using artificial intelligence and Windows Machine Learning (ML) to improve its products, including Office 365. During the third Build keynote, corporate vice president of the Windows Developer Platform Kevin Gallo used Microsoft Word as an example, stating that the company’s goal is to make everyone a better writer.
But by incorporating machine learning, Microsoft can help pinpoint these small errors. Read More
42. Machine learning flags emerging pathogens: A new machine learning tool could flag dangerous bacteria before they cause an outbreak, from hospital wards to a global scale
A new machine learning tool that can detect whether emerging strains of the bacterium, Salmonella are more likely to cause dangerous bloodstream infections rather than food poisoning has been developed.
Reported today (8 May) in PLOS Genetics, the machine learning tool could be useful for flagging dangerous bacteria before they cause an outbreak, from hospital wards to a global scale.
As the cost of genomic sequencing falls, scientists around the world are using genetics to better understand the bacteria causing infections, how diseases spread, how bacteria gain resistance to drugs, and which strains of bacteria may cause outbreaks. Read More
43. Machine Learning In Everyday Life, Click – World Service
MIT’s Computer Science & Artificial Intelligence Laboratory is trying to combat this problem with a project called MapLite, which uses LIDAR to detect the road ahead.
Then we go from the tech that drives you to the tech that dresses you. Click is joined by the lead researcher, Professor Winslow Burleson of New York University. Read More
44. Waymo uses machine learning to help self-driving cars see through snow
Five minutes into a harrowing cross-state winter drive, I received a warning on the dashboard. All my front-facing sensors and cameras were obscured with ice, rendering the vehicle’s numerous active safety systems disabled. Snow shows up on Waymo’s sensors as noise — a giant purple cloud of object-obscuring noise. Read More
45. Artificial Intelligence Takes Scientists Inside Living Human Cells
Artificial Intelligence Takes Scientists Inside Living Human Cells
A new application of artificial intelligence could help researchers solve medical mysteries ranging from cancer to Alzheimer’s.
It’s a 3D model of a living human cell that lets scientists study the interior structures of a cell even when they can only see the exterior and the nucleus — the largest structure in a cell.
“This lets you see things with a simple microscope that are going to be helpful to researchers all over the world — including in less affluent places,” Brent says. Read More
46. As Washington clashes with tech, Google’s AI chief Jeff Dean says tech must ‘engage’ with lawmakers
Google is placing a lot of importance on engaging with governments across the world, even amid tensions around artificial intelligence, privacy and fake news, according to one of the company’s top engineers.
“It’s important to engage with governments around the world in how they’re thinking about AI — to help inform them,” Jeff Dean, head of Google AI and one of Alphabet’s top computer scientists, told CNBC’s Josh Lipton on Tuesday. Dean counters that Google actually aims to make humans more productive and improve their experiences with technology. Read More
47. Artificial Intelligence Could Magnify Social Inequality
Advancements in machine learning and the increasing use of algorithms for pattern recognition are generating a lot of attention — and funding — for artificial intelligence (AI). Meanwhile, the government has repeatedly made explicit its intention on “advancing gender equality and women’s empowerment” as a “central theme of its [Group of Seven] Presidency.
Inequality in Practice
The issue of perpetuating bias and inequality is likely to be more pronounced in fields where gender disparity is especially prominent — security and military environments fit the bill. Read More
48. What Makes us Smart? On Human and Artificial Intelligence · Events at The University of Melbourne
49. How AI Takes Wearables to the Next Level
The market for wearable technology is increasing steadily.
We’ve interviewed the executives and founders of successful wearable companies to find out how AI-enabled technology takes wearables to the whole new level. Here’s what the company’s CEO and founder John McGuire says about the upcoming feature:
“Smart Caddie uses artificial intelligence to help golfers make data-driven decisions as they play. Read More