Soldiers in 2099
One of the key historical events of that time was the American Civil War, fought from 1861 to 1865. It was fought with muskets, cannons and horses. The US military today uses nuclear weapons, GPS, drones and even brainwave technology.
“Take these two in battle: who will win? How long would the battle last? If you were a civil war soldier with a musket and you see this helicopter gunship coming at you, what is going through your mind? You may be dead before you see it. It will seem to you like Armageddon, judgement day.
“In the same way, if soldiers from 2099 visit us today, it will seem like an alien invasion. You won’t recognise it. You will be gone before you even know. It will seem to be awesome, it will be alien, it will be godlike.
“That’s the baseline of technology that’s going to change. Its huge. You can’t see it happening but it will be drastic. I can tell you it’s going to be magic and it’s something you can’t predict.”
The reality is that much of the technology that will change the world of 2099 already exists in a basic form today. From health to energy to transport, we are already at the early stages of that future. However, some of what is being planned now is still inconceivable to most of us.
Health in 2099
“How long should humans live in 2099? In 1850 people were living to an average of less than 40. Now it is normal to live to over 90. Malaysia just elected a new prime minister who has turned 93. The World Health Organisation just categorised ‘youth’ as people from 18 to 65.
“How long do you think people will live? Based on these trends, by 2099 people will live to 160 years. You may not be 100 percent human, you may have a 3D-printed heart and lungs. You will be partly synthetic. But not altogether. We can 3D-print anything, but we can’t print the brain. We’re working on that. If we can print a brain, we will be immortal.”
The problem with health technology in the early 21st century, he says, is that people are still treated like cars. Instead, they should be treated like airplanes.
“Today, if you’re driving and your car breaks down, you’re stuck at the side of the road until someone fixes it. If you’re in an airplane and something goes wrong, you die, so they go to great lengths to prevent something from going wrong.
“Health technology is sick. When you’re sick, you go to a doctor, but there should actually be a pill at home that fixes you automatically. If you have a heart attack today, if I knew one minute before the event, I could save you, instead of you being a burden on the economy. We have to move from reactive health to proactive health. We have to move from being sick to increasing health spend.
“We don’t die from flu, virus and bacteria. We die because we are killing ourselves, because we live the good life. If we increase health, we increase lifespan.”
Motor Racing meets Machine Learning
The car of tomorrow, most of us imagine, is being built by the great automobile manufacturers of the world. More and more, however, we are seeing information technology companies joining the race to power the autonomous vehicle future.
Last year, chip-maker Intel paid $15.3-billion to acquire Israeli company Mobileye, a leader in computer vision for autonomous driving technology. Google’s autonomous taxi division, Waymo, has been valued at $45-billion.
Now there’s a new name to add to the roster of technology giants driving the future.
Amazon Web Services, the world’s biggest cloud computing service and a subsidiary of Amazon.com, last month unveiled a scale model autonomous racing car for developers to build new artificial intelligence applications. Almost in the same breath, at its annual re:Invent conference in Las Vegas, it showcased the work being done with machine learning in Formula 1 racing.
AWS DeepRacer is a 1/18th scale fully autonomous race car, designed to incorporate the features and behaviour of a full-sized vehicle. It boasts all-wheel drive, monster truck tires, an HD video camera, and on-board computing power. In short, everything a kid would want of a self-driving toy car.
But then, it also adds everything a developer would need to make the car autonomous in ways that, for now, can only be imagined. It uses a new form of machine learning (ML), the technology that allows computer systems to improve their functions progressively as they receive feedback from their activities. ML is at the heart of artificial intelligence (AI), and will be core to autonomous, self-driving vehicles.
AWS has taken ML a step further, with an approach called reinforcement learning. This allows for quicker development of ML models and applications, and DeepRacer is designed to allow developers to experiment with and hone their skill in this area. It is built on top of another AWS platform, called Amazon SageMaker, which enables developers and data scientists to build, train, and deploy machine learning quickly and easily.
Along with DeepRacer, AWS also announced the DeepRacer League, the world’s first global autonomous racing league, open to anyone who orders the scale model from AWS.
As if to prove that DeepRacer is not just a quirky entry into the world of motor racing, AWS also showcased the work it is doing with the Formula One Group. Ross Brawn, Formula 1’s managing director of Motor Sports, joined AWS CEO Andy Jassy during the keynote address at the re:Invent conference, to demonstrate how motor racing meets machine learning.
“More than a million data points a second are transmitted between car and team during a Formula 1 race,” he said. “From this data, we can make predictions about what we expect to happen in a wheel-to-wheel situation, overtaking advantage, and pit stop advantage. ML can help us apply a proper analysis of a situation, and also bring it to fans.
“Formula 1 is a complete team contest. If you look at a video of tyre-changing in a pit stop – it takes 1.6 seconds to change four wheels and tyres – blink and you will miss it. Imagine the training that goes into it? It’s also a contest of innovative minds.”
Formula 1 racing has more than 500 million global fans and generated $1.8 billion in revenue in 2017. As a result, there are massive demands on performance, analysis and information.
During a race, up to 120 sensors on each car generate up to 3GB of data and 1 500 data points – every second. It is impossible to analyse this data on the fly without an ML platform like Amazon SageMaker. It has a further advantage: the data scientists are able to incorporate 65 years of historical race data to compare performance, make predictions, and provide insights into the teams’ and drivers’ split-second decisions and strategies.
This means Formula 1 can pinpoint how a driver is performing and whether or not drivers have pushed themselves over the limit.
“By leveraging Amazon SageMaker and AWS’s machine-learning services, we are able to deliver these powerful insights and predictions to fans in real time,” said Pete Samara, director of innovation and digital technology at Formula 1.
LG rethinks portable speakers
LG adds three sizes to its XBoom Go portable speaker line in a portable revision, writes BRYAN TURNER.
Portable Bluetooth speakers are fairly commonplace at a pool party because they’re battery-powered. The only issue is that louder speakers usually distort the music or break the bank. The LG XBoom aims to change this.
LG has partnered with Meridian Audio to produce great sounding speakers that can go loud without distorting the audio. Meridian Audio is an expert in high-performance, high-fidelity audio experiences. The company is best known for producing the industry’s first audiophile-quality compact disc player and provide audio equipment to McLaren and Jaguar Land Rover.
The Bluetooth software in the XBoom Go is Qualcomm aptX HD compatible, meaning that 24bit vinyl-quality audio can be played through this speaker over Bluetooth instead of standard-fidelity audio.
The major phone assistants feature on these speakers, with tethered Google Assistant or Apple Siri functionality from one’s smartphone. This makes it very convenient to use the voice assistant button to skip tracks and change music when one’s hands are wet.
Three models of the XBoom Go series – the PK3, PK5 and PK7 – offer different audio functions depending on the audio needs of the user. Best fits for these speakers are:
PK3 – The Pool Friendly Speaker: The PK3 is IPX7 water resistant, up to 1 metre for 30 minutes, making this speaker accident proof at pool parties. Boasting up to 12 hours of playback from its built-in battery, this speaker will last as long as the party.
PK5 – The Party Friendly Speaker: Even if the lunch braai turns into a midnight feast, this speaker will play throughout as its battery lasts up to 18 hours. Clear Vocal technology is added to the PK5, which reduces audio imperfections from the music for a sharper sound. It is also water and splash resistant and has a handle, allowing for it to be easily carried. Built-in LED lights which pulse with the beat of the music on this speaker provide a light show for any song.
PK7 – The Audiophile’s Speaker: With a battery life that lasts for up to 22 hours, the PK7 also contains an LED light to the rhythm of the sound. The speaker integrates a convenient handle grip that allows for it to be transported securely. The powerful PK7 Bluetooth speaker also distributes its high frequencies across two separate tweeters for more precise sonic detail.
Overall, LG’s XBoom PK portable speakers are a phenomenal set of high-quality wireless speakers.