Shortages of everything from seeds to fertilizer might accelerate the adoption of technologies that can help supplies go further in war-torn Ukraine. We meet: Roman Tarasevich, Farmer, Ukraine Morten Schmidt, Chief Executive Officer, OneSoil Inbal Reshef, Program Director, NASA Harvest Olekssi Misiura, Head of Research and Development, IMC Credits: This episode was reported and produced…
As machine-learning models become larger and more complex, they require faster and more energy-efficient hardware to perform computations. Conventional digital computers are struggling to keep up. An analog optical neural network could perform the same tasks as a digital one, such as image classification or speech recognition, but because computations are performed using light instead…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. While the US and the EU may differ on how to regulate tech, their lawmakers seem to agree on one thing: the West needs to ban AI-powered social scoring. As they understand it, social…
Posted by Cat Armato, Program Manager, Google This week marks the beginning of the 36th annual Conference on Neural Information Processing Systems (NeurIPS 2022), the biggest machine learning conference of the year, which is being held in New Orleans, LA. NeurIPS 2022 will be held in person with additional options for virtual attendees, and includes…
OpenAI has built the best Minecraft-playing bot yet by making it watch 70,000 hours of video of people playing the popular computer game. It showcases a powerful new technique that could be used to train machines to carry out a wide range of tasks by binging on sites like YouTube, a vast and untapped source…
Large language models are one of the hottest areas of AI research right now, with companies racing to release programs like GPT-3 that can write impressively coherent articles and even computer code. But there’s a problem looming on the horizon, according to a team of AI forecasters: we might run out of data to train…
MIT senior Teresa Gao has been named one of the 12 winners of the George J. Mitchell Scholarship’s Class of 2024. After graduating next spring with a double major in computer science and engineering as well as brain and cognitive sciences, she will study augmented and virtual reality at Trinity College Dublin. Gao is the…
Meta has created an AI that can beat humans at an online version of Diplomacy, a popular strategy game in which seven players compete for control of Europe by moving pieces around on a map. Unlike other board games that AI has mastered, such as chess and Go, Diplomacy requires players to talk to each…
Picture two teams squaring off on a football field. The players can cooperate to achieve an objective, and compete against other players with conflicting interests. That’s how the game works. Creating artificial intelligence agents that can learn to compete and cooperate as effectively as humans remains a thorny problem. A key challenge is enabling AI…
Before a machine-learning model can complete a task, such as identifying cancer in medical images, the model must be trained. Training image classification models typically involves showing the model millions of example images gathered into a massive dataset. However, using real image data can raise practical and ethical concerns: The images could run afoul of…