What is the new technology in computer science Samumuro / 19.03.202119.03.2021 What to Know About Neuralink, Elon Musk’s Brain-Computer Interface Project Apr 15, · Computer Science. Read all the latest developments in the computer sciences including articles on new software, hardware and systems. The latest news on computer science, computer science technology, computer science technologies and technology science. Suggestions or feedback? Researchers propose a method for finding and fixing weaknesses in automated programming tools. April 15, New publishing model provides unique and timely solutions to the production, curation, and preservation of knowledge. April 6, Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness. MIT research team finds machine learning techniques offer big js over standard experimental and theoretical approaches. April 1, March 31, March 18, Five courses celebrate the what are some things you can study in college, highlight technologies in photogrammetry and degree compyter. March 17, March 16, March 15, March 12, The digit solution to the decades-old problem suggests many more solutions exist. March 11, whxt Method builds on gaming techniques to help scence vehicles navigate in the real world, where signals may be imperfect. March 8, An innovative approach protects closed-source Windows applications against ned attacks by automatically and transparently re-randomizing sensitive internal data. March 5, The Institute ranks second in four subject areas. March 3, Student committee delivers interactive conference on microsystems and nanoscience. Massachusetts Institute of Technology. Search MIT. Search websites, locations, and people. Enter keywords to search for news articles: Submit. How much to feed a 6 month old baby By. Show: News Articles. Tecbnology the Media. Toward deep-learning models that can reason about code more like humans Researchers propose a method for finding and fixing weaknesses in automated programming tools. Seeking the cellular mechanisms of disease, find what drivers i need help from machine learning Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness. A streamlined approach to determining thermal properties of crystalline solids and alloys MIT research team finds machine learning techniques offer big advantages over standard experimental and theoretical approaches. Artificial intelligence that more closely mimics the mind Computsr years of MIT cognitive science research, Nara Logics incorporates findings about the brain into its AI platform. Lincoln Laboratory earns a Stratus Award for Cloud Computing An innovative approach protects closed-source Windows applications against cyber attacks by automatically and transparently re-randomizing sensitive internal data. Microsystems Annual Research Conference goes virtual, preserves human touch Student committee delivers interactive conference on microsystems and nanoscience. Pagination Page 1 Next page. 8 Entry-level jobs you can land with a computer science degree Jun 25, · The following are the emerging and latest technologies in the Computer Science field. Data Science; Internet of Things (IoT) Artificial intelligence (AI); RPA (Robotic Process Automation) Cloud Computing. Dalhousie University boasts the largest Computer Science and Technology education and research centre in Eastern Canada and is part of Canada’s U15 research intensive universities. Founded in , the Faculty of Computer Science, a premier research institution in IT in Atlantic Canada, is where students develop the deep technical, problem-solving and leadership skills needed to create. Aug 24, · Elon Musk is set to make an announcement about Neuralink, a company designing brain-computer interface technology, on Friday, Aug. It sounds like science . No one wore wearables, nobody talked to their gadgets at home and the Tesla was just an idea. Back then, scientists were still looking for the Higgs Boson , Pluto was a mysterious blurry orb just out of sight and genetic editing was still just a theoretical concern, not a practical one. The next decade looks set to move even faster. Take a look at thispersondoesnotexist. Hit refresh a few times. None of the faces you see are real. Uncannily realistic, they are entirely synthetic — generated by generative adversarial networks, the same type of artificial intelligence behind many deepfakes. These false photos show just how far synthetic media has come in the past few years. While the results are a little clunky, it suggests a direction where things may be heading. While such synthetic media has potential for an explosion in creativity, it also has the potential for harm, by providing purveyors of fake news and state-sponsored misinformation new, highly malleable channels of communication. A global network of machines talking and learning from one another sound familiar? Until now, robots have carried their pretty feeble brains inside them. Cloud robotics promises something entirely new; robots with super-brains stored in the online cloud. The thinking is that these robots, with their intellectual clout, will be more flexible in the jobs they do and the places they can work, perhaps even speeding up their arrival in our homes. Google Cloud and Amazon Cloud both have robot brains that are learning and growing inside them. The dream behind cloud robotics is to create robots that can see, hear, comprehend natural language and understand the world around them. One of the leading players in cloud robotics research is Robo Brain , a project led by researchers at Stanford and Cornell universities in the US. Funded by Google, Microsoft, government institutions and universities, the team are building a robot brain on the Amazon cloud, learning how to integrate different software systems and different sources of data. The project aims to develop robots intelligent enough to make sense of the places we live and work. Chinese researcher, He Jiankui, who led the work, was sent to prison for disregarding safety guidelines and failing to obtain informed consent. By , two US trials using similar techniques in different kinds of cancer patients were up and running, with three patients reported to have received their edited immune cells back. In , Craig Venter and his team created the first synthetic cell , based on a bug that infects goats. Four years later, one of the first products of the synthetic biology era hit the market, when the drug company Sanofi started selling malaria drugs made by re-engineered yeast cells. Today, though, biologists are starting to find ways to organise single cells into collectives capable of performing simple tasks. Just by combining these two types of cells it designed machines capable of crawling across the bottom of a petri dish, pushing a small pellet around and even cooperating. Their computer runs a simple evolutionary algorithm that initially generates random designs and rejects over 99 per cent of them — selecting only those designs capable of performing the required task in a virtual version of a petri dish. As Bongard explains, the scientists still have to turn the finished designs into reality, layering and sculpting the cells by hand. This part of the process could eventually be automated, using 3D printing or techniques to manipulate cells using electrical fields. However, combining this approach with more traditional synthetic biology techniques could lead to the creation of new multicellular organisms capable of performing complex tasks. For example, they could act as biodegradable drug delivery machines, and if made from human cells, they would also be biocompatible, avoiding triggering adverse immune reactions. The tech world is hoping it can turn back the clock on climate change by removing carbon emissions. Instead of trying to limit our carbon emissions, there is scope to actually remove them from the atmosphere. Achieving that goal will take more than simply switching to renewable energy sources, electrifying its fleet of vehicles and planting new forests. Hence, Microsoft is monitoring the development of negative emissions technologies that include bioenergy with carbon capture and storage BECCS , and direct air capture DAC. BECCS uses trees and crops to capture carbon as they grow. The trees and plants are then burnt to generate electricity but the carbon emissions are captured and stored deep underground. DAC uses fans to draw air through filters that remove the carbon dioxide, which can then be stored underground or potentially even turned into a type of low-carbon synthetic fuel. Both methods sound promising but have yet to reach a point where they are practical or affordable on a scale necessary for them to have a significant impact on climate change. Labs investigate gene drives to fend off invasive species like grey squirrels and cane toads. Another potential use for gene-editing is wiping out pests. The toxic toads were introduced from Hawaii in and have killed almost anything that has tried to eat them ever since. If we have to flee Earth to take up residence elsewhere in the galaxy, you know what we need to take with us? Or rather, fungal spores. Not to feed us on the flight over there, but to grow our houses with. The space agency is concocting a plan to grow buildings made out of fungi on Mars. Many fungi, like mushrooms, grow and spread using mycelia — networks of thread-like tendrils that form sturdy materials capable, with minimal encouragement, of growing to fill any container. On Earth, fungi-fabricated structures are already used to make packaging for wine bottles and as particle board-like materials, and Rothschild suggests they could even be used for growing refugee shelters. On Mars, the organisms would need a little water to get started, which could come from melted ice, plus a food source. The researchers envisage them being deployed in large bags that would be inflated on landing to provide a container to fill. These bags would contain the food source in dried form and offer the added benefit of preventing contamination of the atmosphere with alien fungi. Once the structures were fully grown, a heating element would be activated, baking the mycelium network like bread to harden it. Rothschild already has a myco-made stool in her office, which took her students about two weeks to grow, and the team has plans for full-scale structures. Paralysed patients lucky enough to be enrolled in clinical trials are already walking again thanks to rapidly advancing neurotechnology. In , Swiss and UK scientists announced they had placed nerve signal-boosting implants into the spines of three men paralysed in road and sporting accidents. All are now able to walk a short distance. And just last year, in a truly sci-fi-style demonstration, researchers at the Grenoble University Hospital in France used an exoskeleton to give a year-old man back the use of his lower limbs after falling and breaking his neck. The man uses two electrode brain implants to control the robo-suit. Speech-enabled tech, like Alexa, Siri or Google Voice, will start to shape our own speech. The fantasy of controlling our devices through speech is becoming a reality, even though they can only handle simple commands or enquiries and their speech patterns sound robotic. The next step is getting them to understand and respond in natural language — the sort of conversational exchanges humans use. Google seemed to have made progress when it unveiled its Duplex system in The trouble was, Duplex often ran into complications and needed someone to step in. Despite this setback, Google and other developers are still working on ways to bring natural language to our devices. One of the aims of the US initiative, launched in , is to map all the neurons in the brain as well as their connections. Starting with the mouse brain, the view is to move towards the same goal in humans. Currently, the parts list for mice is well underway, whilst the human equivalent could take another five to 10 years. But understanding how these parts produce behaviour is trickier still. Eventually, there should be enough detail in the map to explain how neurons in certain brain circuits function at a molecular level, to produce specific behaviours. Rapid single-cell sequencing now allows scientists to quickly gather data from hundreds of thousands of individual neurons, highlighting the DNA that is switched on in each one. Meanwhile, imaging tools for studying neurons in exquisite detail and tracking their activities in real-time are advancing. Want to feel a little smarter while you snack on a sandwich? PLUS a free mini-magazine for you to download and keep. Look out for your Lunchtime Genius newsletter in your inbox soon. Already have an account with us? Sign in to manage your newsletter preferences. Edit your newsletter preferences. You can unsubscribe at any time. Deepfake videos have exploded online over the past two years. Deeptrace, a company set up to combat this, says in just the eight months between April and December , deepfakes rocketed by 70 per cent to 17, Most deepfakes, about 96 per cent, are pornography. In its report, The State of Deepfakes , Deeptrace says the top four dedicated deepfake porn sites generated ,, views. As recently as five years ago, realistic video manipulation required expensive software and a lot of skill, so it was primarily the preserve of film studios. Now freely-available AI algorithms, that have learned to create highly-realistic fakes, can do all the technical work. All anyone needs is a laptop with a graphics processing unit GPU. The AI behind the fakes has been getting more sophisticated too. Now there are huge efforts within universities and business start-ups to combat deepfakes by perfecting AI-based detection systems and turning AI on itself. In September , Facebook, Microsoft, the University of Oxford and several other universities teamed up to launch the Deepfake Detection Challenge with the aim of supercharging research. They pooled together a huge resource of deepfake videos for researchers to pit their detection systems against. Her approach is to use AI to spot tell-tale signs — imperceptible to the human eye — that images have been meddled with. Every camera, including smartphones, leaves invisible patterns in the pixels when it processes a photo. Different models leave different patterns. Other researchers are using different detection techniques and while many of them can detect deepfakes generated in a similar way to the ones in their training data, the real challenge is to develop a stealthy detection system that can spot deepfakes created using entirely different techniques. The extent to which deepfakes will infiltrate our lives in the next few years will depend on how this AI arms race plays out. Right now, the detectors are playing catch-up. One of the areas where that promise is most apparent is brain-machine interfaces BMIs , devices, implanted into your brain, that detect and decode neural signals to control computers or machinery by thought. But last July, tech entrepreneur Elon Musk announced his company, Neuralink , could provide a solution. Even without BMIs, exoskeletons are already being used to augment human capabilities, particularly for people whose capabilities might be limited as a result of illness or injury. With the exoskeleton, only one to two physiotherapists are needed to assist the patient rather than a team of four or more. But it also allows the patient to achieve a lot more — taking several hundred steps during a session instead of the with conventional therapy.