Don't buy this multi-outlet for its surge protection feature, as it won't warn you when it can no longer deliver it. TP-Link's Tapo Smart Wi-Fi Wall Outlet Extender has some great features, as well as one critical shortcoming that prevents us from recommending it. Tapo doesn't make big promises for this product in terms of its surge protection, but it does list a key feature on the box: the ability to warn you when it can no longer provide surge protection. The Tapo Smart Wi-Fi Wall Outlet Extender isn't all bad news--provided you're not buying it for surge protection. Most surge protectors use sacrificial MOVs (metal oxide varistors) to absorb excess voltage from power surges, and this one is no exception.

Recent advancements in Large Language Models (LLMs) have significantly enhanced their ability to process long contexts, yet a notable gap remains in generating long, aligned outputs. This limitation stems from a training gap where pre-training lacks effective instructions for long-text generation, and post-training data primarily consists of short query-response pairs. Current approaches, such as instruction backtranslation and behavior imitation, face challenges including data quality, copyright issues, and constraints on proprietary model usage. In this paper, we introduce an innovative iterative training framework called Self-Lengthen that leverages only the intrinsic knowledge and skills of LLMs without the need for auxiliary data or proprietary models. The framework consists of two roles: the Generator and the Extender. The Generator produces the initial response, which is then split and expanded by the Extender. This process results in a new, longer response, which is used to train both the Generator and the Extender iteratively. Through this process, the models are progressively trained to handle increasingly longer responses. Experiments on benchmarks and human evaluations show that Self-Lengthen outperforms existing methods in long-text generation, when applied to top open-source LLMs such as Qwen2 and LLaMA3. Our code is publicly available at https://github.com/QwenLM/Self-Lengthen.

Radiology extenders who read chest X-rays save attending radiologists more time during the day than radiology residents do, potentially streamlining workflow and alleviating provider burnout. At least that has been the experience for researchers at the University of Pennsylvania. Radiologists in their department read more cases per hour when the drafts came from radiology extenders than from residents, resulting in nearly an hour – 51 minutes – of provider time saved each day. The authors shared their experience on Oct. 13 in the Journal of the American College of Radiology. "Interpreting these radiographs entails a disproportionate amount of work (eg., retrieving patient history, completing standard dictation templates, and ensuring proper communication of important findings before finalization of reports). Given low reimbursement rates for these studies, economic necessities push radiologists to provide faster interpretations, contributing to burnout," said the team led by Arijitt Borthakur, MBA, Ph.D., senior research investigator in the Perelman School of Medicine radiology department.

Purchases you make through our links may earn us a commission. As a grad student, I'm one of the many people who unexpectedly went from in-person to virtual classes in the face of COVID-19. This is a big adjustment for those of us who usually like to work from libraries and cafes--but the good news is, pretty much any home can turn into a productive workspace with just a few adjustments. Maybe you're where I was a few months ago, stacking cardboard boxes to make a structurally questionable standing desk, or blasting white noise through raggedy earbuds to drown out your roommate watching The Circle. Luckily, HP is here to help. HP is one of our favorite sources for computers, software, and tech accessories, and they're making both working and studying from home that much smoother.

My house has never had a doorbell. This alone makes me a good candidate for the $179 Ring Video Doorbell, which uses home Wi-Fi to transmit the sound of a doorbell chime directly to smartphones, as well as to Ring's $30 wall-mounted Chime accessory. But there's a deeper reason why I wanted to test Ring: It's got intriguing home-security features that could discourage the crooks who've been targeting my neighborhood in a series of daytime robberies. Burglars typically start these capers by ringing the doorbell to determine if anyone's home. The Ring Video Doorbell, thanks to its built-in video camera with two-way communication, directly addresses this nefarious use case by making the bad guys think you're always at home.

A paradigm enabling heuristic problem solving programs to exploit an analogy between a current unsolved problem and a similar but previously solved problem to simplify it s search for a solu­tion is outlined. It is developed in detail for a first-order resolution logic theorem prover. Descriptions of the paradigm, implemented LISP programs, and preliminary experimental results are presented. This is believed to be the firs t system that develops analogical information and exploits it so that a problem-solving program can speed its search.IJCAI-71, British Computer Society, London, 1971. Revised version in Artificial intelligence 2(2):147- 178, fall, 1971.