Rep. Jasmine Crockett said she would "absolutely" take a head-to-head IQ test against President Donald Trump during an interview with late-night host Jimmy Kimmel. Rep. Jasmine Crockett, D-Texas, told late-night host Jimmy Kimmel on Tuesday that she would "absolutely" take a head-to-head IQ test against President Donald Trump. "He also called you low IQ, I'm sure you're aware of that. Would you be willing to take an IQ test publicly head-to-head against the President of the United States?" Kimmel played a clip of Trump talking about the Democratic lawmaker, during which he called Crockett the Democrats' "new star," and suggested the party was in trouble if that was the case.

The chip designer Nvidia has said it will build 500bn ( 378bn) worth of artificial intelligence infrastructure in the US over the next four years, in a sign of manufacturers investing in operations on American soil amid Donald Trump's tariffs. The announcement comes after Trump reiterated threats on Sunday to impose imminent tariffs on the semiconductors that Nvidia makes mostly in Taiwan, and after the chipmaker's chief executive, Jensen Huang, dined at the president's Mar-a-Lago resort earlier this month. Nvidia, whose chips have helped drive the huge wave of artificial intelligence (AI) development in recent years, will work with its manufacturing partners to design and build factories so it can create "supercomputers" completely within the US. Production of its popular Blackwell graphics processing unit has already started at Taiwan Semiconductor Manufacturing Company's plant in Phoenix, Arizona, Nvidia said. Construction of new plants is also under way with the manufacturers Foxconn in Houston and Wistron in Dallas. Mass production at both plants is expected to ramp up in the next 12 to 15 months.

President Trump's press secretary Karoline Leavitt touted him as "the most transparent and accessible president in American history," particularly compared to former President Biden. President Trump said on Friday that the first physical examination of his second term went well, and overall he feels he's in "very good shape." The president told reporters on board Air Force One while en route to his home in West Palm Beach Friday evening that the yearly presidential physical at Walter Reed Medical Center showed he has a "good heart, a good soul," and "overall, I think I'm in very – I felt I was in very good shape." He also took a cognitive test. "I don't know what to tell you other than I got every answer right," the president told reporters.

Raw: Der Lieferumfang BLIP (finetuned): there are several electronics laid out on the table ready to be used BLIP2: samsung galaxy s10e review | a quick tour of the samsung galaxy s10e BLIP2 (finetuned): wireless charging case and remote control, both packaged in the box OpenCLIP-CoCa: best - wireless - chargers - for - samsung - galaxy - note - 8 - s 8 - and - iphone - 8 OpenCLIP-CoCa (finetuned): a set of various electronic items sitting on a table.

Massive web datasets play a key role in the success of large vision-language models like CLIP and Flamingo. However, the raw web data is noisy, and existing filtering methods to reduce noise often come at the expense of data diversity. Our work focuses on caption quality as one major source of noise, and studies how generated captions can increase the utility of web-scraped datapoints with nondescript text. Through exploring different mixing strategies for raw and generated captions, we outperform the best filtering method proposed by the DataComp benchmark by 2% on ImageNet and 4% on average across 38 tasks, given a candidate pool of 128M image-text pairs. Our best approach is also 2 better at Flickr and MS-COCO retrieval. We then analyze what makes synthetic captions an effective source of text supervision. In experimenting with different image captioning models, we also demonstrate that the performance of a model on standard image captioning benchmarks (e.g., NoCaps CIDEr) is not a reliable indicator of the utility of the captions it generates for multimodal training. Finally, our experiments with using generated captions at DataComp's large scale (1.28B image-text pairs) offer insights into the limitations of synthetic text, as well as the importance of image curation with increasing training data quantity.

An invitation to a "candlelight" dinner held this past Saturday at President Donald Trump's Mar-a-Lago club asked prospective guests to spend 1 million per seat. Trump attended the dinner along with Elon Musk, according to multiple photographs and videos of the event viewed by WIRED. Elon Musk, wearing his standard uniform of a black sport coat over a black T-shirt, was seen shaking hands and waving to other attendees. He was with a woman wearing a floor length gown who appeared to be Shivon Zilis, according to Instagram Reels posted by multiple guests. Zilis, a Neuralink executive who previously sat on the board of OpenAI, is the mother of four of Musk's 14 known children.

I-SENSE (The Institute for Sensing And Embedded Network Systems Engineering) Florida Atlantic University Boca Raton, FL, USA { smazokha2016, fbao2015, gsklivanitis, jhallstrom } @fau.edu Abstract --WiFi-based mobility monitoring in urban environments can provide valuable insights into pedestrian and vehicle movements. However, MAC address randomization introduces a significant obstacle in accurately estimating congestion levels and path trajectories. T o this end, we consider radio frequency fingerprinting and re-identification for attributing WiFi traffic to emitting devices without the use of MAC addresses. We present MobRFFI, an AI-based device fingerprinting and re-identification framework for WiFi networks that leverages an encoder deep learning model to extract unique features based on WiFi chipset hardware impairments. It is entirely independent of frame type. When evaluated on the WiFi fingerprinting dataset WiSig, our approach achieves 94% and 100% device accuracy in multi-day and single-day re-identification scenarios, respectively. We also collect a novel dataset, MobRFFI, for granular multi-receiver WiFi device fingerprinting evaluation. Using the dataset, we demonstrate that the combination of fingerprints from multiple receivers boosts re-identification performance from 81% to 100% on a single-day scenario and from 41% to 100% on a multi-day scenario. Mobility monitoring in urban environments can provide valuable insights into pedestrian and vehicle movements. However, public disapproval of computer vision approaches due to privacy concerns opens opportunities for research into alternative, privacy-centric solutions, such as WiFi sensing. Modern mobile devices ubiquitously support the 802.11 standard and regularly emit WiFi probe requests for network discovery.

The air transportation local share, defined as the proportion of local passengers relative to total passengers, serves as a critical metric reflecting how economic growth, carrier strategies, and market forces jointly influence demand composition. This metric is particularly useful for examining industry structure changes and large-scale disruptive events such as the COVID-19 pandemic. This research offers an in-depth analysis of local share patterns on more than 3900 Origin and Destination (O&D) pairs across the U.S. air transportation system, revealing how economic expansion, the emergence of low-cost carriers (LCCs), and strategic shifts by legacy carriers have collectively elevated local share. To efficiently identify the local share characteristics of thousands of O&Ds and to categorize the O&Ds that have the same behavior, a range of time series clustering methods were used. Evaluation using visualization, performance metrics, and case-based examination highlighted distinct patterns and trends, from magnitude-based stratification to trend-based groupings. The analysis also identified pattern commonalities within O&D pairs, suggesting that macro-level forces (e.g., economic cycles, changing demographics, or disruptions such as COVID-19) can synchronize changes between disparate markets. These insights set the stage for predictive modeling of local share, guiding airline network planning and infrastructure investments. This study combines quantitative analysis with flexible clustering to help stakeholders anticipate market shifts, optimize resource allocation strategies, and strengthen the air transportation system's resilience and competitiveness.

For a century, Britain led the world based on innovations in coal and steam power. For a second century, America led the world based on electrification, materials science and mass production. And now, with AI promising to both boost the economy and bolster national security, America has a chance to lead in the century ahead. However, with China ramping up its investment in AI, pouring billions into data centers and integrating AI across its economy, we cannot take the outcome for granted. A recent expert report reveals that America has lost its lead in most key technologies to its rival.

Fox News congressional correspondent Aishah Hasnie has more on who will be in attendance and policies President-elect Donald Trump will enact during his first day in office on'Special Report.' President-elect Donald Trump's inauguration guest list will include some of America's most influential billionaires, including Meta CEO Mark Zuckerberg and Amazon founder Jeff Bezos--signaling a sharp political shift among the tech industry's biggest players. Silicon Valley, traditionally a stronghold for left-leaning ideals, has largely embraced Trump following the November election. The incoming president amassed a record-breaking inaugural fund with substantial donations from tech executives. The heads of companies such as Google, OpenAI, Apple, Uber, and Microsoft have also forked over millions to fund inaugural events, including parades and swanky parties.