Artificial intelligence (AI) algorithms and robots are becoming increasingly advanced, exhibiting capabilities that vaguely resemble those of humans. The growing similarities between AIs and humans could ultimately bring users to attribute human feelings, experiences, thoughts, and sensations to these systems, which some people perceive as eerie and uncanny.Artificial intelligence (AI) algorithms and robots are becoming increasingly advanced, exhibiting capabilities that vaguely resemble those of humans. The growing similarities between AIs and humans could ultimately bring users to attribute human feelings, experiences, thoughts, and sensations to these systems, which some people perceive as eerie and uncanny.Robotics[#item_full_content]

Crossing a busy street safely typically is a result of a social exchange. Pedestrians look for cues—a wave, a head nod, a winking flash of the headlights, and, of course, a full vehicle stop—to know it’s safe to cross.Crossing a busy street safely typically is a result of a social exchange. Pedestrians look for cues—a wave, a head nod, a winking flash of the headlights, and, of course, a full vehicle stop—to know it’s safe to cross.Automotive[#item_full_content]

In February, OpenAI released videos created by its generative artificial intelligence program Sora. The strikingly realistic content, produced via simple text prompts, is the latest breakthrough for companies demonstrating the capabilities of AI technology. It also raised concerns about generative AI’s potential to enable the creation of misleading and deceiving content on a massive scale.In February, OpenAI released videos created by its generative artificial intelligence program Sora. The strikingly realistic content, produced via simple text prompts, is the latest breakthrough for companies demonstrating the capabilities of AI technology. It also raised concerns about generative AI’s potential to enable the creation of misleading and deceiving content on a massive scale.Security[#item_full_content]

An ongoing research project at Tampere University aims to create adaptable safety systems for highly automated off-road mobile machinery to meet industry needs. Research has revealed critical gaps in compliance with legislation related to public safety when using mobile working machines controlled by artificial intelligence.An ongoing research project at Tampere University aims to create adaptable safety systems for highly automated off-road mobile machinery to meet industry needs. Research has revealed critical gaps in compliance with legislation related to public safety when using mobile working machines controlled by artificial intelligence.Automotive[#item_full_content]

A new streaming technique allows playback of data while it is being generated. When scientists want to look at a tiny structure in a material, even one just a few atoms in size, they frequently turn to X-ray microscopy.A new streaming technique allows playback of data while it is being generated. When scientists want to look at a tiny structure in a material, even one just a few atoms in size, they frequently turn to X-ray microscopy.Engineering[#item_full_content]

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.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]

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