America's top banker sounds warning on US stock market fall There is a higher risk of a serious fall in US stocks than is currently being reflected in the market, the head of JP Morgan has told the BBC. Jamie Dimon, who leads America's largest bank, said he was far more worried than others about a serious market correction, which he said could come in the next six months to two years. In a rare and wide-ranging interview, the bank boss also said that the US had become a less reliable partner on the world stage. He cautioned he was still a little worried about inflation in the US, but insisted he thought the Federal Reserve would remain independent, despite repeated attacks by the Trump administration on its chair Jerome Powell. Jamie Dimon was in Bournemouth, where he was announcing an investment of about £350m in JP Morgan's campus there, as well as a £3.5m philanthropic investment in local non-profits.

V alues are in kW of each 15 min. All time labels report to Portuguese hour. EEG signals without overlapping and get 371,055 univariate brainwaves. Samples are organized in (Train/V alidation/Test). Every subject is recorded for 23.6 seconds of brain activities.

Time series analysis is widely used in extensive areas.

This Philips Norelco is already a champion of versatility matched with low cost--a Swiss army knife of beard, head, burns, and eyebrow guards with a nose trimmer to boot. The trimmer is high-rpm, but still quiet. The guardless blade shaves closer than most, and the shaving foil is even better. The battery lasts more than five hours. Its metal chassis offers comforting durability and heft. And unlike Philips' 9000 series, it can trim while plugged into the wall. The only real drawback is all those guards are difficult to sort and keep track of.

Previous works have partially addressed these issues separately, but have not been able to address all of them simultaneously. Meanwhile, their time and memory complexities are still not sufficiently low for long-range forecasting.

The tiny shark and a ghost-like crab are two of the latest species uncovered in a yearslong expedition. Breakthroughs, discoveries, and DIY tips sent every weekday. Oceanographers scouring the waters off of Western Australia have discovered two new deep-sea oddities . On October 6, Australia's Commonwealth Scientific and Industrial Research Organization (CSIRO) showcased these new species originally collected in 2022: a bioluminescent lanternshark and a tiny, semi-translucent porcelain crab . The team revealed two of its initial finds--the painted hornshark and the ridged-egg catshark --in 2023.

Breakthroughs, discoveries, and DIY tips sent every weekday. At the US Army Corps of Engineers' research facility in central Alaska, a unique tunnel descends underground. They were hunting for something much smaller--and smellier. "The first thing you notice when you walk in there is that it smells really bad. It smells like a musty basement that's been left to sit for way too long," geological scientist Tristan Caro recounted in a statement .

Technology Internet Japan's favorite beer is in peril Asahi Super Dry's manufacturer is suffering from a major cyberattack. Breakthroughs, discoveries, and DIY tips sent every weekday. Japan is facing a serious beer crisis. The emergency began on Monday, September 29 when the makers of the country's most popular brew Asahi Super Dry announced it had suffered a massive cyberattack resulting in a nationwide "system failure." The immediate fallout included a temporary shutdown of nearly all of Asahi Group's 30 domestic breweries, as well a pause in ordering and shipping across Japan.

Accurate and efficient analysis of multivariate spatio-temporal data is critical in climatology, geology, and sociology applications. Existing models usually assume simple inter-dependence among variables, space, and time, and are computationally expensive. We propose a unified low rank tensor learning framework for multivariate spatio-temporal analysis, which can conveniently incorporate different properties in spatio-temporal data, such as spatial clustering and shared structure among variables. We demonstrate how the general framework can be applied to cokriging and forecasting tasks, and develop an efficient greedy algorithm to solve the resulting optimization problem with convergence guarantee. We conduct experiments on both synthetic datasets and real application datasets to demonstrate that our method is not only significantly faster than existing methods but also achieves lower estimation error.

Crowdsourcing has gained immense popularity in machine learning applications for obtaining large amounts of labeled data. Crowdsourcing is cheap and fast, but suffers from the problem of low-quality data. To address this fundamental challenge in crowdsourcing, we propose a simple payment mechanism to incentivize workers to answer only the questions that they are sure of and skip the rest. We show that surprisingly, under a mild and natural "no-free-lunch" requirement, this mechanism is the one and only incentive-compatible payment mechanism possible. We also show that among all possible incentive-compatible mechanisms (that may or may not satisfy no-free-lunch), our mechanism makes the smallest possible payment to spammers. Interestingly, this unique mechanism takes a "multiplicative" form. The simplicity of the mechanism is an added benefit. In preliminary experiments involving over several hundred workers, we observe a significant reduction in the error rates under our unique mechanism for the same or lower monetary expenditure.