We're made of meat and they're made of silicon, but according to a new study, humans and computers might actually "see" using the same mechanisms. When you break it down, all vision really is, physiologically speaking, the transformation of light into electrical pulses that are then processed in stages by different parts of the brain. Sounds a lot like a computer, doesn't it? But computers aren't as good at reliably "seeing" and recognizing objects as humans are, at least not yet. According to some folks, this is because the brain simply isn't like a computer at all.

Stunning new pictures from a 1946 atomic weapon test on a hundred US ships have been revealed. The newly declassified images show the World War II veteran aircraft carrier USS Independence, which was one of nearly a hundred ships used as targets in the first tests of the atomic bomb at Bikini Atoll in the summer of 1946. The two Bikini tests known as Operation Crossroads were carried out in the immediate aftermath of the atomic end to World War II in Japan, and signaled a new era in world history, the historians involved in the new study say. The newly declassified images show the World War II aircraft carrier which was one of nearly a hundred ships used as targets in the first tests of the atomic bomb at Bikini Atoll in 1946. Here, Sailors watch the'Able Test' burst miles out to sea from the deck of the support ship USS Fall River on 1 July 1946.

The last few years have seen numerous studies pointing to a bleak future with technology-induced unemployment on the rise. For example, a pivotal 2013 study by researchers at the University of Oxford found that of 702 unique job types in the United States economy, around 47% were at high risk of computerisation. This was backed up by similar findings in Australia suggesting 44% of occupations – representing more than five million jobs – were at risk over the coming 10 to 15 years. Is the situation really so dire? Are we heading towards mass unemployment as computers and robots do all the work?

The tech icon was helping launch the Advance Queensland Innovation and Investment Summit on Thursday, where the government hoped to foster the seeds of the next Apple, Google or major AI player. "A machine doesn't yet say'what's an obstacle of the world, what's a problem of the world that needs solving and what is an approach I could take to solve it?' " he told the audience. "We're just at the verge of where the machines may take off and go much further than even we humans could make them go. "It is a new revolution in my mind, the revolution of artificial intelligence, machines that will learn, that will be able to do things much better than we know how to tell them."

When we think of innovators of the technology space we largely think of blokes like Mark Zuckerberg, Bill Gates, Steve Jobs, Elon Musk – the zeitgeist is largely male. But that hasn't always been the case. As a matter of fact, for the first decade or so programming was a'pink-collar' industry. The vast majority of early coders were women. What's more, it's an industry created by women.

Steve Wozniak tells the innovation summit that artificial intelligence researchers are getting close to the point of understanding "what the brain is". The man who helped bring Apple computers to the world says we're on the verge of an artificial intelligence revolution. Apple co-founder Steve Wozniak told an innovation summit in Brisbane artificial intelligence would be the next big disrupter, separate from the digital revolution that changed the world with personal computers and smartphones. Speaking via video link from the US, "The Woz" described AI as "machines acting like human friends". An attendee at the Brisbane summit films Mr Wozniak's broadcast.

The world is on the precipice of an artificial intelligence revolution, Apple co-founder Steve Wozniak says. Mr Wozniak told the Advance Queensland Innovation and Investment Summit in Brisbane on Thursday, via a live feed from Orlando in Florida, machines were closer than ever to emulating the human brain. "I looked at the brain my whole life thinking we would never understand how it's wired, never know what consciousness is, we would never know what intuition is," he said. "And now we're seeing so many signs that are getting so close - we speak to our phones, we can get answers." Mr Wozniak said the artificial intelligence revolution would be separate from, and have just as big an influence on the world, as the digital revolution that proceeded it.

Armored tanks are built to protect, but they weren't designed to manoeuvre through rough terrain or avoid incoming threats. New concept vehicles have dropped the extra thick steel padding, allowing future machines to travel over 95 percent of available terrain and with more speed. Created by the Defense Advanced Research Project Agency (DARPA), the Ground X-Vehicle Technology program is working to produce'nimble, fast and smart' combat trucks that are able to shield themselves from enemies and deflect targeted missiles. A new concept design drops the extra thick steel padding from the machines, allowing the future fighting vehicles to travel over 95 percent of available terrain and with more speed. Created by the Defense Advanced Research Project Agency (DARPA), the Ground X-Vehicle Technology program is working to produce'nimble, fast, smart' combat trucks that can shield itself and deflect missiles Survivability through Agility--Autonomously avoid incoming threats without harming occupants through technologies that enable, for example, agile motion and active repositioning of armor.

Machine Learning (ML) is a field of computer science that came out of research into Artificial Intelligence (AI) and Big Data analytics. ML focuses on the creation of models that have been defined by the deduction of algorithms during the analysis of data by a computer system. The resultant model has utility in its ability to be applied to new datasets and thus the potential for valuable insights to be gleaned from the data. Supervised Learning Supervised learning uses a pre-labelled dataset as an input to the system and the resultant model is the result of mapping the inputs to the outputs. Labels are used to identify the correct answers to the question that is to be posed to the system on a historical dataset.

Last month we heard about DRU, the Domino's delivery robot that's getting a trial run in Australia. The idea may seem silly, but some new restaurant industry numbers highlight the growing importance of food delivery in an age when consumers expect online ordering and rapid to-their-door service. As consumers get more comfortable with autonomous delivery (which is on the way, despite lots of skepticism), a restaurant industry that already uses state of the art logistics services could begin adding delivery robots to their operations in the next decade. According to information provided by 1010data, our hunger for the pies is growing. Domino's, Pizza Hut, and Papa John's combined to account for 45.1% of total food delivery sales, up from 40.3% in 2014.