Microsoft has announced the development of a small, locally run family of AI language models called Phi-3 mini. In their Technical Report posted on the arXiv preprint server, the team behind the new SLM describes it as more capable than others of its size and more cost effective than larger models. They also claim it outperforms many models in its class and even some that are larger.Microsoft has announced the development of a small, locally run family of AI language models called Phi-3 mini. In their Technical Report posted on the arXiv preprint server, the team behind the new SLM describes it as more capable than others of its size and more cost effective than larger models. They also claim it outperforms many models in its class and even some that are larger.Business[#item_full_content]
Tech giant Cisco Systems on Wednesday joined Microsoft and IBM in signing onto a Vatican-sponsored pledge to ensure artificial intelligence is developed and used ethically and to benefit the common good.Tech giant Cisco Systems on Wednesday joined Microsoft and IBM in signing onto a Vatican-sponsored pledge to ensure artificial intelligence is developed and used ethically and to benefit the common good.Business[#item_full_content]
In recent years, developers have introduced artificial intelligence (AI) systems that can simulate or reproduce various human abilities, such as recognizing objects in images, answering questions, and more. Yet in contrast with the human mind, which can deteriorate over time, these systems typically retain the same performance or even improve their skills over time.In recent years, developers have introduced artificial intelligence (AI) systems that can simulate or reproduce various human abilities, such as recognizing objects in images, answering questions, and more. Yet in contrast with the human mind, which can deteriorate over time, these systems typically retain the same performance or even improve their skills over time.[#item_full_content]
In recent years, developers have introduced artificial intelligence (AI) systems that can simulate or reproduce various human abilities, such as recognizing objects in images, answering questions, and more. Yet in contrast with the human mind, which can deteriorate over time, these systems typically retain the same performance or even improve their skills over time.In recent years, developers have introduced artificial intelligence (AI) systems that can simulate or reproduce various human abilities, such as recognizing objects in images, answering questions, and more. Yet in contrast with the human mind, which can deteriorate over time, these systems typically retain the same performance or even improve their skills over time.Computer Sciences[#item_full_content]
Reinforcement learning (RL) is a machine learning technique that trains software by mimicking the trial-and-error learning process of humans. It has demonstrated considerable success in many areas that involve sequential decision-making. However, training RL models with real-world online tests is often undesirable as it can be risky, time-consuming, and importantly, unethical. Thus, using offline datasets that are naturally collected through past operations is becoming increasingly popular for training and evaluating RL and bandit policies.Reinforcement learning (RL) is a machine learning technique that trains software by mimicking the trial-and-error learning process of humans. It has demonstrated considerable success in many areas that involve sequential decision-making. However, training RL models with real-world online tests is often undesirable as it can be risky, time-consuming, and importantly, unethical. Thus, using offline datasets that are naturally collected through past operations is becoming increasingly popular for training and evaluating RL and bandit policies.Machine learning & AI[#item_full_content]
Using data from a 2002 game show, a Virginia Commonwealth University researcher has taught a computer how to tell if you are lying.Using data from a 2002 game show, a Virginia Commonwealth University researcher has taught a computer how to tell if you are lying.[#item_full_content]
Using data from a 2002 game show, a Virginia Commonwealth University researcher has taught a computer how to tell if you are lying.Using data from a 2002 game show, a Virginia Commonwealth University researcher has taught a computer how to tell if you are lying.Computer Sciences[#item_full_content]
In a recent publication in Science China Life Sciences, a research team led by Professor Jing-Dong Jackie Han and Ph.D. student Xinyu Yang from Peking University established a deep learning model for age estimation using non-registered 3D face point clouds. They also proposed the coordinate-wise monotonic transformation algorithm to isolate age-related facial features from identifiable human faces.In a recent publication in Science China Life Sciences, a research team led by Professor Jing-Dong Jackie Han and Ph.D. student Xinyu Yang from Peking University established a deep learning model for age estimation using non-registered 3D face point clouds. They also proposed the coordinate-wise monotonic transformation algorithm to isolate age-related facial features from identifiable human faces.[#item_full_content]
In a recent publication in Science China Life Sciences, a research team led by Professor Jing-Dong Jackie Han and Ph.D. student Xinyu Yang from Peking University established a deep learning model for age estimation using non-registered 3D face point clouds. They also proposed the coordinate-wise monotonic transformation algorithm to isolate age-related facial features from identifiable human faces.In a recent publication in Science China Life Sciences, a research team led by Professor Jing-Dong Jackie Han and Ph.D. student Xinyu Yang from Peking University established a deep learning model for age estimation using non-registered 3D face point clouds. They also proposed the coordinate-wise monotonic transformation algorithm to isolate age-related facial features from identifiable human faces.Computer Sciences[#item_full_content]
We use computers to help us make (hopefully) unbiased decisions. The problem is that machine-learning algorithms do not always make fair classifications if human bias is embedded in the data used to train them—which is often the case in practice.We use computers to help us make (hopefully) unbiased decisions. The problem is that machine-learning algorithms do not always make fair classifications if human bias is embedded in the data used to train them—which is often the case in practice.[#item_full_content]