Alloy is bringing data management to the robotics industry

Australia-based Alloy thinks it can help robotics firms with their data problem: the startup is building data infrastructure to help companies process and organize all the data their robots collect.Australia-based Alloy thinks it can help robotics firms with their data problem: the startup is building data infrastructure to help companies process and organize all the data their robots collect.[#item_full_content]

StrictlyVC at TechCrunch Disrupt 2025: The full LP track agenda revealed

StrictlyVC joins TechCrunch Disrupt 2025 for an investor-only LP track on October 28. Explore the full agenda and grab your investor tickets before prices rise on Sept 26.StrictlyVC joins TechCrunch Disrupt 2025 for an investor-only LP track on October 28. Explore the full agenda and grab your investor tickets before prices rise on Sept 26.[#item_full_content]

Analog computers, computing systems that represent data as continuous physical quantities, such as voltage, frequency or vibrations, can be significantly more energy-efficient than digital computers, which represent data as binary states (i.e., 0s and 1s). However, upscaling analog computing platforms is often difficult, as their underlying components can behave differently in larger systems.Analog computers, computing systems that represent data as continuous physical quantities, such as voltage, frequency or vibrations, can be significantly more energy-efficient than digital computers, which represent data as binary states (i.e., 0s and 1s). However, upscaling analog computing platforms is often difficult, as their underlying components can behave differently in larger systems.Electronics & Semiconductors[#item_full_content]

Technology veterans, politicians and Nobel Prize winners called on nations around the world Monday to quickly establish “red lines” too dangerous for artificial intelligence to cross.Technology veterans, politicians and Nobel Prize winners called on nations around the world Monday to quickly establish “red lines” too dangerous for artificial intelligence to cross.Machine learning & AI[#item_full_content]

Chipmaker Nvidia will invest $100 billion in OpenAI as part of a partnership announced Monday that will add at least 10 gigawatts of Nvidia AI data centers to ramp up the computing power for the owner of the artificial intelligence chatbot ChatGPT.Chipmaker Nvidia will invest $100 billion in OpenAI as part of a partnership announced Monday that will add at least 10 gigawatts of Nvidia AI data centers to ramp up the computing power for the owner of the artificial intelligence chatbot ChatGPT.Business[#item_full_content]

It is a sad fact of online life that users search for information about suicide. In the earliest days of the internet, bulletin boards featured suicide discussion groups. To this day, Google hosts archives of these groups, as do other services.It is a sad fact of online life that users search for information about suicide. In the earliest days of the internet, bulletin boards featured suicide discussion groups. To this day, Google hosts archives of these groups, as do other services.Business[#item_full_content]

Artificial intelligence-powered large language models (LLM) need to be trained on massive datasets to make accurate predictions—but what if researchers don’t have enough of the right type of data?Artificial intelligence-powered large language models (LLM) need to be trained on massive datasets to make accurate predictions—but what if researchers don’t have enough of the right type of data?Engineering[#item_full_content]

In an unfolding disaster situation, quick decisions need to be made on how to respond and where to direct resources, to preserve life and aid recovery efforts. With the rapid development of AI, unmanned aerial vehicles (UAVs) and satellite imagery, initial efforts have already been made to apply AI to disaster situations, giving quick insights to response teams and autonomously making decisions on relief operations. But while AI may speed up processes, there is a risk that errors or bias could have severe consequences.In an unfolding disaster situation, quick decisions need to be made on how to respond and where to direct resources, to preserve life and aid recovery efforts. With the rapid development of AI, unmanned aerial vehicles (UAVs) and satellite imagery, initial efforts have already been made to apply AI to disaster situations, giving quick insights to response teams and autonomously making decisions on relief operations. But while AI may speed up processes, there is a risk that errors or bias could have severe consequences.Engineering[#item_full_content]

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