It is not easy to bring new technologies from the laboratory to market. Researchers and companies face very different demands for new developments and do not always find common ground. Scientists at Empa and other institutions have analyzed two emerging solar cell technologies to identify the greatest risks. Their conclusion: Research and industry must start collaborating much earlier.It is not easy to bring new technologies from the laboratory to market. Researchers and companies face very different demands for new developments and do not always find common ground. Scientists at Empa and other institutions have analyzed two emerging solar cell technologies to identify the greatest risks. Their conclusion: Research and industry must start collaborating much earlier.[#item_full_content]
A research team led by Professor Taesung Kim from the School of Mechanical Engineering at Sungkyunkwan University has developed a technology that precisely controls the internal structure of semiconductors using heat, much like stamping out “bungeoppang” (fish-shaped pastry) in a mold. The team report that this approach improves the performance of next-generation artificial intelligence (AI) hardware. With this technology, complex AI computations can be processed more quickly using significantly less electricity than before. The findings are published in the journal ACS Nano.A research team led by Professor Taesung Kim from the School of Mechanical Engineering at Sungkyunkwan University has developed a technology that precisely controls the internal structure of semiconductors using heat, much like stamping out “bungeoppang” (fish-shaped pastry) in a mold. The team report that this approach improves the performance of next-generation artificial intelligence (AI) hardware. With this technology, complex AI computations can be processed more quickly using significantly less electricity than before. The findings are published in the journal ACS Nano.Hardware[#item_full_content]
US artificial intelligence company Anthropic said Monday it had uncovered campaigns by three Chinese AI firms to illicitly extract capabilities from its Claude chatbot, in what it described as industrial-scale intellectual property theft.US artificial intelligence company Anthropic said Monday it had uncovered campaigns by three Chinese AI firms to illicitly extract capabilities from its Claude chatbot, in what it described as industrial-scale intellectual property theft.Machine learning & AI[#item_full_content]
Large language models (LLMs) are dealing with an increasing amount of morally sensitive information as people turn to them for medical advice, companionship and therapy. However, they are not exactly known for possessing a moral compass.Large language models (LLMs) are dealing with an increasing amount of morally sensitive information as people turn to them for medical advice, companionship and therapy. However, they are not exactly known for possessing a moral compass.[#item_full_content]
Large language models (LLMs) are dealing with an increasing amount of morally sensitive information as people turn to them for medical advice, companionship and therapy. However, they are not exactly known for possessing a moral compass.Large language models (LLMs) are dealing with an increasing amount of morally sensitive information as people turn to them for medical advice, companionship and therapy. However, they are not exactly known for possessing a moral compass.Computer Sciences[#item_full_content]
AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an open-source software and online leaderboard developed at the University of Michigan. Companies can download the software to evaluate private models run on private hardware. And while the software can’t evaluate the energy costs of queries run on proprietary AI models at private data centers, it has allowed University of Michigan engineers to measure the power used by open-weight AI models in which the parameters under the hood are publicly available.AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an open-source software and online leaderboard developed at the University of Michigan. Companies can download the software to evaluate private models run on private hardware. And while the software can’t evaluate the energy costs of queries run on proprietary AI models at private data centers, it has allowed University of Michigan engineers to measure the power used by open-weight AI models in which the parameters under the hood are publicly available.Software[#item_full_content]
The use of artificial intelligence (AI) agents, systems that learn to make predictions, generate content or tackle other tasks by analyzing large amounts of data, is becoming increasingly widespread. Some of these systems have become so advanced that they can also be combined in ways that allow them to interact with each other.The use of artificial intelligence (AI) agents, systems that learn to make predictions, generate content or tackle other tasks by analyzing large amounts of data, is becoming increasingly widespread. Some of these systems have become so advanced that they can also be combined in ways that allow them to interact with each other.[#item_full_content]
The use of artificial intelligence (AI) agents, systems that learn to make predictions, generate content or tackle other tasks by analyzing large amounts of data, is becoming increasingly widespread. Some of these systems have become so advanced that they can also be combined in ways that allow them to interact with each other.The use of artificial intelligence (AI) agents, systems that learn to make predictions, generate content or tackle other tasks by analyzing large amounts of data, is becoming increasingly widespread. Some of these systems have become so advanced that they can also be combined in ways that allow them to interact with each other.Computer Sciences[#item_full_content]
Ever had an idea for something that looked cool, but wouldn’t work well in practice? When it comes to designing things like decor and personal accessories, generative artificial intelligence (genAI) models can relate. They can produce creative and elaborate 3D designs, but when you try to fabricate such blueprints into real-world objects, they usually don’t sustain everyday use.Ever had an idea for something that looked cool, but wouldn’t work well in practice? When it comes to designing things like decor and personal accessories, generative artificial intelligence (genAI) models can relate. They can produce creative and elaborate 3D designs, but when you try to fabricate such blueprints into real-world objects, they usually don’t sustain everyday use.Engineering[#item_full_content]
New software, developed by the University of Sheffield spin-out AENi aims to transform how the world’s essential net-zero infrastructure is planned. The new digital platform will help the organizations shaping the world’s critical net-zero infrastructure to de-risk projects and accelerate delivery.New software, developed by the University of Sheffield spin-out AENi aims to transform how the world’s essential net-zero infrastructure is planned. The new digital platform will help the organizations shaping the world’s critical net-zero infrastructure to de-risk projects and accelerate delivery.Energy & Green Tech[#item_full_content]
