Melbourne (Australia) The human brain is a true miracle machine. It is always active, can solve complex tasks, is capable of learning and has the ability to process several streams of information at once. For this reason, researchers have tried to make biological nerve cells usable for computer science. According to the scientists at Cortical Labs, they recently made a breakthrough. They taught microscopic brains grown in Petri dishes to play the computer game Pong.
Meta aims to make realistic avatars for its metaverse and plans to do so by tacking users' every move with customized technologies. The company recently filed a trove of patents for these innovations that monitor facial expressions, eye movements and body poses of players. The patents describe a device that sits around user's waist to track their body poses, sensor-packed gloves to monitor hand gestures and glasses to immerse players in the digital world. Another application shows images of an'avatar personalization engine' that creates 3-D avatars based on a user's photos using tools such as a so-called skin replicator. Meta aims to make realistic avatars for its metaverse and plans to do so by watching users' every move with customized technologies.
Then you've probably seen a boab. Also known as the "tree of life", they can store 100,000 litres of water, which can feed, restore and invigorate nature even in the toughest of conditions. But the tree is not Australia's only boab -- in Melbourne, Boab AI is an investment company supporting a very different kind of ecosystem. "Artificial intelligence investment in Australia is a nascent but relatively new area where Victoria is leading the way," says Boab AI Managing Director Andrew Lai, a technology-focused venture capitalist who has helped hundreds of startups during his 15-year career. "Australia's share of world GDP is 1.8%, but our share of global AI funding is 0.22%, according to Pitchbook. So many people in Silicon Valley have become billionaires by investing in tech, but we just don't have that history and investment risk taking culture here. Most people just want to invest in real estate."
This story features COMMONWEALTH BANK OF AUSTRALIA. With Australian finance services providers increasingly looking towards adoption of Artificial Intelligence, successful implementation of AI processes will be complicated and a question of timing in many instances. As we drive further into the 2020s many technological features of what were once regarded – even in relatively recent years – as from an out-of-reach futuristic world are now becoming commonplace. Essentially all of us use daily modern marvels such as smartphones, Wi-Fi, and Bluetooth, and the ways in which we can use them constantly increases. Yet this decade is also expected to deliver tremendous advances in areas such as wearables like smartwatches and fitness trackers, Virtual Reality (VR), Augmented Reality (AR), and in an array of other fields.
High profile Australian business and technology leaders Genevieve Bell and David Thodey are backing a push to create a new organisation to lead the development of an ethical framework for artificial intelligence. In an open letter to be released on Friday, Ms Bell and Mr Thodey say there are significant challenges that need to be addressed as AI becomes more commonplace, be it the further entrenchment of discrimination on the basis of gender or "minority status", creating "ethical algorithms for autonomous vehicles, bias in AI-powered hiring processes" or "the impact of fake news bots". They are joined by other notable industry figures such as H2 Ventures founding partner Toby Heap, Fujitsu Australia chief executive Mike Foster and KPMG Innovate national leader James Mabbott as being signatories to the open letter. Genevieve Bell is one of the leaders pushing for an AI body. Mr Mabbott said while the opportunities and benefits of AI were unprecedented, there were very real community concerns about how AI is adopted, relating to privacy, sustainability and quality of life.
The next wave of AI will be powered by the democratization of data. Open-source frameworks such as TensorFlow and Pytorch have brought machine learning to a huge developer base, but most state-of-the-art models still rely on training datasets which are either wholly proprietary or prohibitively expensive to license . As a result, the best automated speech recognition (ASR) models for converting speech audio into text are only available commercially, and are trained on data unavailable to the general public. Furthermore, only widely-spoken languages receive industry attention due to market incentives, limiting the availability of cutting-edge speech technology to English and a handful of other languages. The first is prohibitive licensing: Several free datasets do exist, but most of sufficient size and quality to make models truly shine are barred from commercial use. As a response, we created The People's Speech, a massive English-language dataset of audio transcriptions of full sentences (see Sample 1).
Europeans are amongst the most distrustful in the world of artificial intelligence companies, according to a survey that reveals a split between the rich and developing world over the technology. Citizens from economically developing countries like China and India are "significantly more likely" than those from the wealthier world to be positive about the future impact of AI, to trust AI companies and to believe they understand the technology. More than three quarters of Chinese respondents said they trusted AI companies as much as other companies. Saudi Arabia at 73% and India on 68% had similar levels of trust. But in Canada (34%), France (34%), the US (35%), the UK (35%) and Australia (36%), only minorities said they trusted AI companies equally. Meanwhile, six in ten respondents expected AI products and services to "profoundly" change their daily lives in the next three to five years.
University of South Australia's Habib Habibullah says their algorithm could be applied in many environments, including industrial warehouses where robots are commonly used, for robotic fruit picking, packing and pelletizing, and also for restaurant robots An algorithm developed by researchers at the University of South Australia (UniSA) aims to help robots avoid humans and other obstacles in their path while taking the fastest, safest route to their destination. The researchers based their model on the best elements of existing algorithms and used it to create a TurtleBot able to avoid collisions by adjusting its speed and direction. They performed simulations in nine different scenarios and found their model outperformed the online collision avoidance algorithms Dynamic Window Approach and Artificial Potential Field. Said UniSA's Habib Habibullah, "Our proposed method sometimes took a longer path, but it was faster and safer, avoiding all collisions."
Mike is a 40-something crop farmer from southern Queensland. With a chestnut tan, crushing handshake and a strong outback accent, he's the third generation of his family to grow sorghum, a cereal mostly used for animal fodder. But, like most farmers, Mike faces more challenges than his forbears. Climate change has eroded Australian farms' profitability by an average of 23% over the past 20 years. It's a constant challenge to improve productivity by producing more with less.
We are excited to have Jeetendra Mathur joining us as Co-founder and Project Manager. With your exceptional skills and expertise, our dynamic team will progress to new heights and achieve new benchmarks. Jeetendra is a certified'Chartered Manager' and has a bachelor's degree in medicine, a post-graduate degree in MBA (Healthcare Management) from Deakin University, Australia, and Level 7 Diploma in Strategic Management and Leadership Practice from the Chartered Management Institute, UK. His 10 years of working experience in the healthcare industry involves working in various medical specialties, including emergency medicine and burns/plastic surgery at large public and corporate hospitals in both India and the Maldives. He is passionate about making healthcare better and safer with a focus on digital health and artificial intelligence.