When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training—such as the laws of physics—could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training—such as the laws of physics—could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.Machine learning & AI[#item_full_content]
Peripheral vision enables humans to see shapes that aren’t directly in our line of sight, albeit with less detail. This ability expands our field of vision and can be helpful in many situations, such as detecting a vehicle approaching our car from the side.Peripheral vision enables humans to see shapes that aren’t directly in our line of sight, albeit with less detail. This ability expands our field of vision and can be helpful in many situations, such as detecting a vehicle approaching our car from the side.Machine learning & AI[#item_full_content]
A small team of AI researchers at Microsoft reports that the company’s Orca-Math small language model outperforms other, larger models on standardized math tests. The group has published a paper on the arXiv preprint server describing their testing of Orca-Math on the Grade School Math 8K (GSM8K) benchmark and how it fared compared to well-known LLMs.A small team of AI researchers at Microsoft reports that the company’s Orca-Math small language model outperforms other, larger models on standardized math tests. The group has published a paper on the arXiv preprint server describing their testing of Orca-Math on the Grade School Math 8K (GSM8K) benchmark and how it fared compared to well-known LLMs.[#item_full_content]
A small team of AI researchers at Microsoft reports that the company’s Orca-Math small language model outperforms other, larger models on standardized math tests. The group has published a paper on the arXiv preprint server describing their testing of Orca-Math on the Grade School Math 8K (GSM8K) benchmark and how it fared compared to well-known LLMs.A small team of AI researchers at Microsoft reports that the company’s Orca-Math small language model outperforms other, larger models on standardized math tests. The group has published a paper on the arXiv preprint server describing their testing of Orca-Math on the Grade School Math 8K (GSM8K) benchmark and how it fared compared to well-known LLMs.Computer Sciences[#item_full_content]
A small team of AI researchers from the Allen Institute for AI, Stanford University and the University of Chicago, all in the U.S., has found that dozens of popular large language models continue to use racist stereotypes even after they have been given anti-racism training. The group has published a paper on the arXiv preprint server describing their experiments with chatbots such as OpenAI’s GPT-4 and GPT-3.5.A small team of AI researchers from the Allen Institute for AI, Stanford University and the University of Chicago, all in the U.S., has found that dozens of popular large language models continue to use racist stereotypes even after they have been given anti-racism training. The group has published a paper on the arXiv preprint server describing their experiments with chatbots such as OpenAI’s GPT-4 and GPT-3.5.Machine learning & AI[#item_full_content]
The rapid advancement in machine learning techniques and sensing devices over the past decades have opened new possibilities for the detection and tracking of objects, animals, and people. The accurate and automated detection of visual targets, also known as intelligent machine vision, can have various applications, ranging from the enhancement of security and surveillance tools to environmental monitoring and the analysis of medical imaging data.The rapid advancement in machine learning techniques and sensing devices over the past decades have opened new possibilities for the detection and tracking of objects, animals, and people. The accurate and automated detection of visual targets, also known as intelligent machine vision, can have various applications, ranging from the enhancement of security and surveillance tools to environmental monitoring and the analysis of medical imaging data.Electronics & Semiconductors[#item_full_content]
AI-generated videos and photos used for political disinformation are the scourge of a busy global election year, and Brazil is scrambling to regulate the technology ahead of municipal polls.AI-generated videos and photos used for political disinformation are the scourge of a busy global election year, and Brazil is scrambling to regulate the technology ahead of municipal polls.Machine learning & AI[#item_full_content]
A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe. The field of imageomics aims to help explore fundamental questions about biological processes on Earth by combining images of living organisms with computer-enabled analysis and discovery.A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe. The field of imageomics aims to help explore fundamental questions about biological processes on Earth by combining images of living organisms with computer-enabled analysis and discovery.Machine learning & AI[#item_full_content]
Quantum computers, which can solve several complex problems exponentially faster than classical computers, are expected to improve artificial intelligence (AI) applications deployed in devices like autonomous vehicles; however, just like their predecessors, quantum computers are vulnerable to adversarial attacks.Quantum computers, which can solve several complex problems exponentially faster than classical computers, are expected to improve artificial intelligence (AI) applications deployed in devices like autonomous vehicles; however, just like their predecessors, quantum computers are vulnerable to adversarial attacks.[#item_full_content]
Before a robot can grab dishes off a shelf to set the table, it must ensure its gripper and arm won’t crash into anything and potentially shatter the fine china. As part of its motion planning process, a robot typically runs “safety check” algorithms that verify its trajectory is collision-free.Before a robot can grab dishes off a shelf to set the table, it must ensure its gripper and arm won’t crash into anything and potentially shatter the fine china. As part of its motion planning process, a robot typically runs “safety check” algorithms that verify its trajectory is collision-free.[#item_full_content]
