The creation of large-scale image datasets has enabled advances in the performance of computer vision models.

To better preserve prior information, we introduce the Prior Compensation Factor (PCF). We incorporate it into the model training to compensate for the lost prior information. Furthermore, we derive a more reasonable optimization objective through theoretical derivation.

The Israel Defense Forces struck Hamas "terrorist targets" in Gaza on Wednesday following the latest ceasefire violation threatening Israeli troops.

However, the huge model number and their billion-level parameters impose heavy storage overhead for cloud with limited resources.

Equal contribution; authors are listed in random order.

The grand challenge facing global agriculture today is the need to increase food production to feed a rapidly growing population, amid diminishing natural and human resources and climate pressures. With the global population expected to exceed 9.5 billion by 2050, and with several key resources being depleted (see sidebar), the agricultural community is turning to a digital revolution to secure the future of our food production. Touted Agriculture 4.0, this new movement is deploying digital technologies at scale, including field and aerial sensing, automation, and other smart devices to monitor and track resources and to improve operational efficiency. Artificial intelligence (AI) technologies are playing a central role in driving this revolution: enabling real-time decision support using spatiotemporal data collected on farms, augmenting human labor with automated decision making and robotics, estimating and forecasting risks due to extreme weather, and aiding in longer-term planning under climate-imposed uncertainties. To propel the development and deployment of AI tools and technologies for U.S. agriculture, since 2020 the U.S. Department of Agriculture's National Institute of Food and Agriculture (USDA NIFA) has made a strategic investment in five AI institutes.

Gunmen attacked Christ Apostolic Church in Eruku, Nigeria, killing two people and kidnapping the pastor and worshippers during a Tuesday evening service.

The essence of multi-modal fusion lies in exploiting the complementary information inherent in diverse modalities.

Google's ultra-private CEO Sundar Pichai is showing me around Googleplex, its California headquarters. A walkway runs along the length of it, passing by a giant dinosaur skeleton, a beach volleyball pitch and dozens of Googlers lunching under the hazy November sun. But it's a laboratory, hidden away at the back of the campus behind some trees, that he is most excited to show me. This is where the invention that Google believes is its secret weapon is being developed. Known as a Tensor Processing Unit (or TPU), it looks like an unassuming little chip but, says Mr Pichai, it will one day power every AI query that goes through Google.

Former US treasury secretary Larry Summers is stepping down from the board at OpenAI, a week after a tranche of emails between him and late convicted sex offender Jeffrey Epstein was released. Summers said in a statement to the BBC that he was grateful for the opportunity to have served, excited about the potential of the company, and look forward to following their progress. Summers, who was also once the president of Harvard University, said on Monday that he would be stepping back from public commitments over his ties to Epstein. The recently released emails showed Summers communicated with Epstein until the day before Epstein's 2019 arrest for the alleged sex trafficking of minors. In a statement, the artificial intelligence company said it respected Summers' decision to resign.