Lifeboat Foundation

As I’m sure many in the technology industry have thought today, there should have been a way to avoid the Oscars Envelopegate. But, is artificial intelligence the answer to all of our human error problems? A recent Accenture report found that the introduction and further development of AI could boost labor productivity by 40% by 2035. It seems as if banks have already picked up on this, as was seen last year with RBS’ replacement of human employees with automated services. News announced this week also suggests that artificial intelligence will become a central part of anything a technology organisation will do in the future. Will we see the same in the financial technology sector?

The relationship between man and machine is expected to be the naissance of a type of work that could potentially double annual economic growth, according to Accenture. Chief technology officer Paul Daugherty highlighted that “AI is poised to transform business in ways we’ve not seen since the impact of computer technology in the late 20th century.” He went on to explain in the report that artificial intelligence, with the help of cloud computing and analytics, is already starting to change the way that people work.

The weekend saw the UK government announce that they are planning to launch a review into the value of robotics in the country’s aim to become world technology leader. £17.3 million would be invested into university research of AI technologies such as Apple’s Siri, Amazon’s Alexa and driverless cars, as reported by The Independent. The article also drew from the Accenture report and said that artificial intelligence could add around £654 billion to the UK economy.

Continue reading “Artificial Intelligence: Removing The Human From Fintech” »

From AlphaGo’s historic victory against world champion Lee Sedol to DeepStack’s sweeping win against professional poker players, artificial intelligence is clearly on a roll.

Part of the momentum comes from breakthroughs in artificial neural networks, which loosely mimic the multi-layer structure of the human brain. But that’s where the similarity ends. While the brain can hum along on energy only enough to power a light bulb, AlphaGo’s neural network runs on a whopping 1,920 CPUs and 280 GPUs, with a total power consumption of roughly one million watts—50,000 times more than its biological counterpart.

Extrapolate those numbers, and it’s easy to see that artificial neural networks have a serious problem—even if scientists design powerfully intelligent machines, they may demand too much energy to be practical for everyday use.

Continue reading “New Artificial Synapse Bridges the Gap to Brain-Like Computers” »

Most chat bots are dumb. No one wants to message a soulless stack of if-then statements just to order a pizza when a half-decent app or website interface can do the same job in half the time.

Chat assistants are a different matter. Rather than actively bugging you for information in a back-and-forth no one enjoys having, chat assistants lurk in the background of the conversations you’re already having and glean little details that might help later. It’s the approach Google is taking with their aptly named Assistant.

Niles, a company in Y Combinator’s Winter 2017 batch, wants to be your company’s chat assistant — an alternative to that internal wiki that every company has and no one uses. It sits in Slack and tries to learn the answers to the questions that your team is tired of hearing for the billionth time.

Continue reading “Niles is a Slack bot that learns your team’s questions and answers them so you don’t have to” »

This robot is unstoppable. And pretty cute, too.

The latest machine-learning techniques are essentially black boxes. DARPA is funding a number of efforts to open them up.

It’s not practical to test drive autonomous vehicles enough to prove that they are safe, says RAND’s Nidhi Kalra. What barriers must be overcome to get self-driving cars safely on the streets? r.rand.org/3umk

JERUSALEM (AP) — As the world moves toward an era of self-driving cars, Israel is positioning itself to be the Detroit of the future.

The country has emerged as a global leader in the fast-growing field of driverless cars, as illustrated by Intel’s more than $15 billion acquisition of Israeli firm Mobileye this week.

Israel is now home to hundreds of startups that provide everything from sensors to cybersecurity to data collection for autonomous vehicles, putting it alongside Silicon Valley at the forefront of an industry that many expect to take off over the next decade.

The U.S. Air Force’s X-37B space plane is just eight days away from setting a record on its current clandestine mission.

If the robotic vehicle stays aloft until March 25, it will break the X-37B mission-duration mark of 674 days, which was established back in October 2014.

It’s unclear whether that will actually happen, however; the Air Force is tight-lipped about most X-37B payloads and activities, including touchdown plans. [The X-37B’s Fourth Mystery Mission in Photos].

Continue reading “Air Force’s Mysterious X-37B Space Plane Nears Orbital Record” »

A nice long feature on #transhumanism in The Irish Times, one of Ireland’s largest papers. It focuses on the book To Be A Machine: http://www.irishtimes.com/culture/books/who-wants-to-live-fo…-1.3010223 Separately, The New York Times ran a rather somber view of a few transhumanism books, two of the books (The Body Builders & To Be a Machine) which I’m quoted in: https://www.nytimes.com/2017/03/16/books/review/gene-machine.…html?_r=0

Mark O’Connell has spent several years talking to people who want to live through robots and technology, and he admits it stems from his own obsession with death.