TEDTalks تكنلوجيا

In a series of mind-bending demos, inventor Mary Lou Jepsen shows how we can use red light to see and potentially stimulate what's inside our bodies and brains. Taking us to the edge of optical physics, Jepsen unveils new technologies that utilize light and sound to track tumors, measure neural activity and could possibly replace the MRI machine with a cheaper, more efficient and wearable system.

In Agbogbloshie, a community in Accra, Ghana, people descend on a scrapyard to mine electronic waste for recyclable materials. Without formal training, these urban miners often teach themselves the workings of electronics by taking them apart and putting them together again. Designer and TED Fellow DK Osseo-Asare wondered: What would happen if we connected these self-taught techies with students and young professionals in STEAM fields? The result: a growing maker community where people engage in peer-to-peer, hands-on education, motivated by what they want to create. Learn more about how this African makerspace is pioneering a grassroots circular economy.

Do you think you're good at spotting fake videos, where famous people say things they've never said in real life? See how they're made in this astonishing talk and tech demo. Computer scientist Supasorn Suwajanakorn shows how, as a grad student, he used AI and 3D modeling to create photorealistic fake videos of people synced to audio. Learn more about both the ethical implications and the creative possibilities of this tech -- and the steps being taken to fight against its misuse.

تتطلب خوارزميات الذكاء الاصطناعي اليوم عشرات الآلاف من الصور الطبية المكلفة من أجل للكشف عن الأمراض.

ماذا لو تمكنا من الحد بشكل كبير من كمية البيانات اللازمة لتدريب الذكاء الاصطناعي، مما يجعل التشخيص منخفض التكلفة وأكثر فعالية؟

يعمل باتيرك شاه على نظام ذكي للقيام بذلك. باستخدام منهج الذكاء الاصطناعي غير التقليدي، حيث طور شاه تقنية تتطلب فقط 50 صورة لتطوير خوارزمية عملية - ويمكن حتى استخدام الصور التي التقطت على الهواتف المحمولة للأطباء من أجل توفير تشخيص.

تعرف على المزيد حول كيفية عمل هذه الطريقة الجديدة لتحليل المعلومات الطبية والتي تسهل الكشف المبكر عن الأمراض التي تهدد الحياة، وتقدم التشخيص اللازم بمساعدة من تقنيات الذكاء الاصطناعي من أجل تحسين أنظمة الرعاية الصحية في جميع أنحاء العالم.

Today's AI algorithms require tens of thousands of expensive medical images to detect a patient's disease. What if we could drastically reduce the amount of data needed to train an AI, making diagnoses low-cost and more effective? TED Fellow Pratik Shah is working on a clever system to do just that. Using an unorthodox AI approach, Shah has developed a technology that requires as few as 50 images to develop a working algorithm -- and can even use photos taken on doctors' cell phones to provide a diagnosis. Learn more about how this new way to analyze medical information could lead to earlier detection of life-threatening illnesses and bring AI-assisted diagnosis to more health care settings worldwide.

Once your smart devices can talk to you, who else are they talking to? Kashmir Hill and Surya Mattu wanted to find out -- so they outfitted Hill's apartment with 18 different internet-connected devices and built a special router to track how often they contacted their servers and see what they were reporting back. The results were surprising -- and more than a little bit creepy. Learn more about what the data from your smart devices reveals about your sleep schedule, TV binges and even your tooth-brushing habits -- and how tech companies could use it to target and profile you. (This talk contains mature language.)

What if you could search the surface of the Earth the same way you search the internet? Will Marshall and his team at Planet use the world's largest fleet of satellites to image the entire Earth every day. Now they're moving on to a new project: using AI to index all the objects on the planet over time -- which could make ships, trees, houses and everything else on Earth searchable, the same way you search Google. He shares a vision for how this database can become a living record of the immense physical changes happening across the globe. "You can't fix what you can't see," Marshall says. "We want to give people the tools to see change and take action."

At MIT, Dina Katabi and her team are working on a bold new way to monitor patients' vital signs in a hospital (or even at home), without wearables or bulky, beeping devices. Bonus: it can see through walls. In a mind-blowing talk and demo, Katabi previews a system that captures the reflections of signals like Wi-Fi as they bounce off people, creating a reliable record of vitals for healthcare workers and patients. And in a brief Q&A with TED curator Helen Walters, Katabi discusses safeguards being put in place to prevent people from using this tech to monitor somebody without their consent.

Flight is about to get a lot more personal, says aviation entrepreneur Rodin Lyasoff. In this visionary talk, he imagines a new golden age of air travel in which small, autonomous air taxis allow us to bypass traffic jams and fundamentally transform how we get around our cities and towns. "In the past century, flight connected our planet," Lyasoff says. "In the next, it will reconnect our local communities."

What happens when technology knows more about us than we do? Poppy Crum studies how we express emotions -- and she suggests the end of the poker face is near, as new tech makes it easy to see the signals that give away how we're feeling. In a talk and demo, she shows how "empathetic technology" can read physical signals like body temperature and the chemical composition of our breath to inform on our emotional state. For better or for worse. "If we recognize the power of becoming technological empaths, we get this opportunity where technology can help us bridge the emotional and cognitive divide," Crum says.