Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children’s nursery, part high-tech workshop and part cabinet of curiosities. The lab benches are strewn with foam blocks, stuffed animals—including a cuddly squid—and other colorful toys used to train robotic dexterity. Piled up on every surface are sensors, cables and measurement devices. Skeletal fingers, on show in display cases or attached to powerful robotic arms, seem to reach out to grab you from every corner.Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children’s nursery, part high-tech workshop and part cabinet of curiosities. The lab benches are strewn with foam blocks, stuffed animals—including a cuddly squid—and other colorful toys used to train robotic dexterity. Piled up on every surface are sensors, cables and measurement devices. Skeletal fingers, on show in display cases or attached to powerful robotic arms, seem to reach out to grab you from every corner.Robotics[#item_full_content]

Today’s artificial intelligence models can’t even tie their own shoes.Today’s artificial intelligence models can’t even tie their own shoes.Computer Sciences[#item_full_content]

Amazon.com Inc.’s business ties with Israel’s military and the US Department of Homeland Security are the focus of a shareholder proposal demanding that the company investigate whether such contracts comply with its responsible AI policies.Amazon.com Inc.’s business ties with Israel’s military and the US Department of Homeland Security are the focus of a shareholder proposal demanding that the company investigate whether such contracts comply with its responsible AI policies.Business[#item_full_content]

A new analysis finds that AI companies now average just 40 out of 100 on transparency, marking a significant decline from last year.A new analysis finds that AI companies now average just 40 out of 100 on transparency, marking a significant decline from last year.Business[#item_full_content]

Earlier this month, Australia’s long-anticipated National AI Plan was released to a mixed reception.Earlier this month, Australia’s long-anticipated National AI Plan was released to a mixed reception.Business[#item_full_content]

Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: Large Language Models (LLMs) can help solve logical problems—without actually “understanding” them.Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: Large Language Models (LLMs) can help solve logical problems—without actually “understanding” them.Computer Sciences[#item_full_content]

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology outline practical approaches to overcome the limitations of modern computing hardware.In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology outline practical approaches to overcome the limitations of modern computing hardware.Energy & Green Tech[#item_full_content]

Computer-aided design (CAD) systems are tried-and-true tools used to design many of the physical objects we use each day. But CAD software requires extensive expertise to master, and many tools incorporate such a high level of detail they don’t lend themselves to brainstorming or rapid prototyping.Computer-aided design (CAD) systems are tried-and-true tools used to design many of the physical objects we use each day. But CAD software requires extensive expertise to master, and many tools incorporate such a high level of detail they don’t lend themselves to brainstorming or rapid prototyping.Robotics[#item_full_content]

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm’s output matches reality. But according to new research, that tool may not be as reliable as many assume.When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm’s output matches reality. But according to new research, that tool may not be as reliable as many assume.Computer Sciences[#item_full_content]

Does the latest track by your favorite singer sound slightly off? You may be right. Fraudulent AI-generated tracks are increasingly appearing in artists’ own profiles on streaming platforms, presented as their original work.Does the latest track by your favorite singer sound slightly off? You may be right. Fraudulent AI-generated tracks are increasingly appearing in artists’ own profiles on streaming platforms, presented as their original work.Machine learning & AI[#item_full_content]