A solar-powered autonomous drone scans for forest fires. A surgeon first operates on a digital heart before she picks up a scalpel. A global community bands together to print personal protection equipment to fight a pandemic. "The future is now," says Frédéric Vacher, head of innovation at Dassault Systèmes. And all of this is possible with cloud computing, artificial intelligence (AI), and a virtual 3D design shop, or as Dassault calls it, the 3DEXPERIENCE innovation lab. This open innovation laboratory embraces the concept of the social enterprise and merges collective intelligence with a cross-collaborative approach by building what Vacher calls "communities of people--passionate and willing to work together to accomplish a common objective." This podcast episode was produced by Insights, the custom content arm of MIT Technology Review. It was not produced by MIT Technology Review's editorial staff. "It's not only software, it's not only cloud, but it's also a community of people's skills and services available for the marketplace," Vacher says. "Now, because technologies are more accessible, newcomers can also disrupt, and this is where we want to focus with the lab." And for Dassault Systèmes, there's unlimited real-world opportunities with the power of collective intelligence, especially when you are bringing together industry experts, health-care professionals, makers, and scientists to tackle covid-19. Vacher explains, "We created an open community, 'Open Covid-19,' to welcome any volunteer makers, engineers, and designers to help, because we saw at that time that many people were trying to do things but on their own, in their lab, in their country."
With the current year coming to an end, the definition of how businesses leverage technology has changed much due to the pandemic. With disruptive technologies driving global discussion, sustainability is emerging as a new investment. Business leaders are now looking to run their companies in an environmentally sustainable manner, so less harm is done on the planet. Therefore there is a growing emphasis on how technology can be employed for improving a company's environmental performance and the bottom line. From incorporating sustainable practices into business operations to encouraging consumers, employees to embrace sustainability to using AI and quantum computing to find alternate energy-efficient fuels, most of the top enterprises are already doing their part to ensure a greener future.
The Mayflower is one-step closer to sailing from England to Plymouth – but this time it will be without a crew. Powered artificial intelligence, the autonomous ship is set to start trials in England and will be unveiled on September 16 in honor of the 400th anniversary the original vessel made its journey in 1620. The Mayflower will undergo several trips and missions over the next six months before it makes the more than 3,000 mile expedition across the Atlantic. The robot craft was set to embark on the journey next week, but has been delayed until April 2021 due to the coronavirus pandemic. The Mayflower Autonomous Ship (MAS), first revealed in 2017, is powered completely by reusable energy, mainly solar power, and made in partnership with University of Plymouth, autonomous craft specialists MSubs and public charity Promare which promotes marine research and exploration throughout the world.
Our zombie solar cells could power indoor devices without sunlight by Marina Freitag, Newcastle University Internet connected devices need power. That either means connecting them to the grid, which limits what we can use them for, or using batteries. To avoid this, my colleagues and I are helping develop a new type of smart solar cell that can adapt to the amount of available light. Last week, that all died. Sidewalk Labs canceled the Quayside project on May 7.
First, in this post, we'll take a look at the year's top articles from Singularity Hub, and next week we'll post some of our favorite writing from around the web. The year was a bit of a rollercoaster. We got the Impossible Whopper, an advanced robot dog called Spot, a "word processor" for gene editing, and the first image of a black hole. We also marked the dubious anniversary of the first genetically modified babies, scientists called for a global moratorium on germline engineering, and big tech continued to face a backlash from within and without. Machine learning algorithms beat top players in multiplayer video games, and a former world champion in the game of Go retired, saying AI cannot be defeated.
Rolnick, David, Donti, Priya L., Kaack, Lynn H., Kochanski, Kelly, Lacoste, Alexandre, Sankaran, Kris, Ross, Andrew Slavin, Milojevic-Dupont, Nikola, Jaques, Natasha, Waldman-Brown, Anna, Luccioni, Alexandra, Maharaj, Tegan, Sherwin, Evan D., Mukkavilli, S. Karthik, Kording, Konrad P., Gomes, Carla, Ng, Andrew Y., Hassabis, Demis, Platt, John C., Creutzig, Felix, Chayes, Jennifer, Bengio, Yoshua
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by machine learning, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the machine learning community to join the global effort against climate change.