The developer of an app dropped from the App Store in China has filed a lawsuit that challenges Apple's overall practices, as well as damages of $420,000.

Pia desperately wanted to work but was always confronted with her background. OM gives her a sewing machine and, with it, a new beginning.

The Enforcement Directorate (ED) on Tuesday said it has attached fresh assets worth Rs 4 crore as part of a money laundering investigation against a Chinese national staying "illegally" in India and his associate.

Chief of Defence Staff Gen Anil Chauhan asserted that "we are at the cusp of a major change in warfare".

China’s Zhurong rover has discovered formations on Mars that could signal the remnants of a once vast ocean. Landing in the Utopia Planitia region, the rover identified formations commonly linked to past water presence, supporting the theory that Mars was once home to a massive body of water. While the findings do not offer definitive proof, they bring scientists closer to understanding Mars' history and its potential to support life.

"Nothing is ever really lost," Megan Fox captioned the post

The event was part of a trend of young Chinese travelling on the cheap and spending as little as possible at a time of scarce job prospects, when wages are under pressure.

The new SAS Certified Specialist: Statistics for Machine Learning credential is designed to help you showcase your expertise and commitment to staying ahead in the industry.

Earn this SAS certification to validate your skills and training in machine learning was published on SAS Users.

In a unique online romance scam, a man in Tianjin, China, fell victim to a bizarre "marriage bed burning" ritual, costing him Rs 11 lakh.

The video features models dressed in the latest fashion, strutting like mannequins on a moving runway outside the designer store ITIB.

Microsoft announced it has acquired Semantic Machines, a conversational AI startup providing chatbots and AI chat apps founded in 2014 having $20.9 million in funding from investors. The acquisition will help Microsoft catch up with Amazon Alexa, though the latter is more focused on enabling consumer applications of conversational AI.

Microsoft will use Semantic Machine’s acquisition to establish a conversational AI center of excellence in Berkeley to help it innovate in natural language interfaces.

Microsoft has been stepping up its products in conversational AI. It launched the digital assistant Cortana in 2015, as well as social chatbots like XiaoIce. The latest acquisition can help Microsoft beef up its ‘enterprise AI’ offerings.

As the use of NLP (natural language processing) increases in IoT products and services, more startups are getting traction from investors and established players. In June last year, Josh.ai, avoice-controlled home automation software has raised $8M.

Followed by it was SparkCognition that raised $32.5M Series B for its NLP-based threat intelligence platform.

It appears Microsoft’s acquisition of Semantic Machines was motivated by the latter’s strong AI team. The team includes technology entrepreneur Daniel Roth who sold his previous startups Voice Signal Technologies and Shaser BioScience for $300M and $100M respectively. Other team members include Stanford AI Professor Percy Liang, developer of Google Assistant Core AI technology and former Apple chief speech scientist Larry Gillick.

Artificial intelligence (AI) is everywhere. Machine learning (ML) and its associated inference abilities promise to revolutionize everything from driving your car to making your breakfast. Verification is never truly complete; it is over when you run...(read more)

Sino-European foreign direct investment is converging, according to data from fDi Markets.

Australia’s Capricornia Contact Lens has signed a A$4.74 million joint venture with Guangzhou Ruitai Biotech to set up EPICON, an entity that will conduct R&D and manufacture scleral lens and other ophthalmic products.

Today Australia has been reincluded on China’s list of approved outgoing group travel destinations.

Auxin Solar named more than a dozen companies in its petition to Commerce Department officials.

THAILAND extended a warm welcome to the first batch of visa-exempt flights from China yesterday, marking the launch of the nation’s fresh initiative to reinvigorate its Chinese tourist market. Approximately

TAIPEI, TAIWAN — Taiwanese businessman Robert Tsao said on Monday he would sue in a Taiwan court senior Chinese officials over sanctions they had placed on him, saying he was seeking to counter China's intimidation of lawful activity. China, which claims Taiwan as its own territory, last month said it would punish and sanction Tsao, the retired founder of chipmaker UMC, for alleged criminal and pro-Taiwan independence activities. China's Taiwan Affairs Office said the "Black Bear Academy" that Tsao has helped fund was seeking to incite separatism that would endanger cross-strait ties. Tsao, one of Taiwan's richest men who has pledged to provide millions to two civilian defense training programs, told a press conference that China was threatening the lawful holding of political views in Taiwan, and his personal safety. The lawsuit will be lodged in a Taipei court against Song Tao, head of China's Taiwan Affairs Office, and also the office's spokesperson Chen Binhua. Taiwan courts have no jurisdiction in China and senior Chinese officials do not visit the island. China's Taiwan Affairs Office did not respond to a request for comment. Cheng Wen-lung, one of Tsao's lawyers, said they understood that neither Song nor Chen would come to Taiwan and there would be no way of enforcing any judgment, but the case was about sending a message to Beijing, given it has been seeking to use legal means to put pressure on Taiwanese persons it does not like. "Legally, we have to do this," Cheng said. "Taiwan is in a difficult spot, but we have to work hard. You cannot not do anything." Tsao's team is also looking at suing in a U.S. court under that country's Alien Tort Claims Act. China's announcement against Tsao came as the country's military staged a day of war games around Taiwan it said were a warning to "separatist acts." Taiwan's government rejects Beijing's sovereignty claims. UMC says Tsao has nothing to do with the company any longer having retired a decade ago.

Megan Fox's current beau Machine Gun Kelly is in “no relationship” with the actress’ ex-husband Brian Austin Green, as the couple expect their first baby together.According to TMZ, MGK and Green have had little to no contact over the past two years, with sources saying that the...

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Devices that let people with paralysis walk and talk are rapidly improving. Some see a future in which we alter memories and download skills – but major challenges remain

Data collected by the Zhurong rover and orbiting satellites suggests the existence of an ancient shoreline in the Utopia Planitia region of Mars

DNA and protein analysis has identified a white substance smeared on mummies in China as a kind of kefir cheese, made from cow and goat milk

The pursuit of harnessing data for knowledge creation has been an enduring quest, with the advent of machine learning (ML) and artificial intelligence (AI) marking significant milestones in this journey. ML, a subset of AI, emerged as the practice of employing mathematical models to enable computers to learn and improve autonomously based on their experiences. In the pharmaceutical and biopharmaceutical sectors, a significant portion of manufacturing data remains untapped or insufficient for practical use. Recognizing the potential advantages of leveraging the available data for process design and optimization, manufacturers face the daunting challenge of data utilization. Diverse proprietary data formats and parallel data generation systems compound the complexity. The transition to Pharma 4.0 necessitates a paradigm shift in data capture, storage, and accessibility for manufacturing and process operations. This paper highlights the pivotal role of AI in converting process data into actionable knowledge to support critical functions throughout the whole product life cycle. Furthermore, it underscores the importance of maintaining compliance with data integrity guidelines, as mandated by regulatory bodies globally. Embracing AI-driven transformations is a crucial step toward shaping the future of the pharmaceutical industry, ensuring its competitiveness and resilience in an evolving landscape.

Massively parallel reporter assays (MPRAs) are powerful tools for quantifying the impacts of sequence variation on gene expression. Reading out molecular phenotypes with sequencing enables interrogating the impact of sequence variation beyond genome scale. Machine learning models integrate and codify information learned from MPRAs and enable generalization by predicting sequences outside the training data set. Models can provide a quantitative understanding of cis-regulatory codes controlling gene expression, enable variant stratification, and guide the design of synthetic regulatory elements for applications from synthetic biology to mRNA and gene therapy. This review focuses on cis-regulatory MPRAs, particularly those that interrogate cotranscriptional and post-transcriptional processes: alternative splicing, cleavage and polyadenylation, translation, and mRNA decay.

Kelley watches the American Sailor Moon pilot acid trip fever dream. Tam is going off to get 800 glamour shots. Chris gets carded while trying to buy a Mara.

The post RPG Cast – Episode 644: “Is That a Demon Machine Making a Pizza?” appeared first on RPGamer.

Josh learns that despite Bethesda's best efforts, Starfield is not Fallout 76. Robert learns the taste of Amiibo blood. Chris is just here to ask, "kink-why?" And Kelley is obsessed with Red XIII on a chocobo.

The post RPG Cast – Episode 692: “Vending Machine Isekai” appeared first on RPGamer.

"Imagine you buy a pinball machine, and years later, you enter your den to go play it, only to discover that all the paddles are missing, the pinball and bumpers are gone, and the monitor that proudly displayed your unassailable high score is removed". As reported by Polygon, that's an argument put forth by a new lawsuit against Ubisoft, filed by two Californian players of The Crew. They're suing the company in a proposed class action lawsuit over shutting down the racing game's servers, rendering it unplayable.

Read more

Data collected by the Zhurong rover and orbiting satellites suggests the existence of an ancient shoreline in the Utopia Planitia region of Mars

The first ever full-scale demonstration of a nuclear reactor designed to passively cool itself in an emergency was a success, showing that it should be possible to build nuclear plants without the risk of dangerous meltdown

Devices that let people with paralysis walk and talk are rapidly improving. Some see a future in which we alter memories and download skills – but major challenges remain

Gears just a few micrometres wide can be carved from silicon using a beam of electrons, enabling tiny robots or machines that could interact with human cells

Two pioneers of artificial intelligence have won the Nobel Prize in physics for discoveries and inventions that formed the building blocks of machine learning.

Finished chips coming in from the foundry are subject to a battery of tests. For those destined for critical systems in cars, those tests are particularly extensive and can add 5 to 10 percent to the cost of a chip. But do you really need to do every single test?

Engineers at NXP have developed a machine-learning algorithm that learns the patterns of test results and figures out the subset of tests that are really needed and those that they could safely do without. The NXP engineers described the process at the IEEE International Test Conference in San Diego last week.

NXP makes a wide variety of chips with complex circuitry and advanced chip-making technology, including inverters for EV motors, audio chips for consumer electronics, and key-fob transponders to secure your car. These chips are tested with different signals at different voltages and at different temperatures in a test process called continue-on-fail. In that process, chips are tested in groups and are all subjected to the complete battery, even if some parts fail some of the tests along the way.

Chips were subject to between 41 and 164 tests, and the algorithm was able to recommend removing 42 to 74 percent of those tests.

“We have to ensure stringent quality requirements in the field, so we have to do a lot of testing,” says Mehul Shroff, an NXP Fellow who led the research. But with much of the actual production and packaging of chips outsourced to other companies, testing is one of the few knobs most chip companies can turn to control costs. “What we were trying to do here is come up with a way to reduce test cost in a way that was statistically rigorous and gave us good results without compromising field quality.”

A Test Recommender System

Shroff says the problem has certain similarities to the machine learning-based recommender systems used in e-commerce. “We took the concept from the retail world, where a data analyst can look at receipts and see what items people are buying together,” he says. “Instead of a transaction receipt, we have a unique part identifier and instead of the items that a consumer would purchase, we have a list of failing tests.”

The NXP algorithm then discovered which tests fail together. Of course, what’s at stake for whether a purchaser of bread will want to buy butter is quite different from whether a test of an automotive part at a particular temperature means other tests don’t need to be done. “We need to have 100 percent or near 100 percent certainty,” Shroff says. “We operate in a different space with respect to statistical rigor compared to the retail world, but it’s borrowing the same concept.”

As rigorous as the results are, Shroff says that they shouldn’t be relied upon on their own. You have to “make sure it makes sense from engineering perspective and that you can understand it in technical terms,” he says. “Only then, remove the test.”

Shroff and his colleagues analyzed data obtained from testing seven microcontrollers and applications processors built using advanced chipmaking processes. Depending on which chip was involved, they were subject to between 41 and 164 tests, and the algorithm was able to recommend removing 42 to 74 percent of those tests. Extending the analysis to data from other types of chips led to an even wider range of opportunities to trim testing.

The algorithm is a pilot project for now, and the NXP team is looking to expand it to a broader set of parts, reduce the computational overhead, and make it easier to use.

US restrictions on semiconductor tech are spurring the move.

Megan Fox has announced pregnancy with Machine Gun Kelly after experiencing a pregnancy loss in 2023

Un «faucon» anti-Chine à la diplomatie, une gouverneure «tueuse de chiens» à la sécurité intérieure.

Attaque avec une voiture en Chine: 35 morts et des dizaines de blessés.

Megan Fox et son petit ami Machine Gun Kelly seront bientôt parents.

Megan Fox is pregnant. The 38-year-old actress — who has Noah, 12, Bodhi, ten, and Journey, eight, with her ex-husband Brian Austin Green — has confirmed via social media that she's expecting her first child with Machine Gun Kelly.

TAIPEI — Taiwanese businessman Robert Tsao said on Nov 11 that he would sue in a Taiwan court senior Chinese officials over sanctions they had placed on him, saying he was seeking to counter China's intimidation of lawful activity. China, which claims Taiwan as its own territory, said in October it would punish and sanction Tsao, the retired founder of chipmaker United Microelectronics Corp (UMC), for alleged criminal and pro-Taiwan independence activities. China's Taiwan Affairs Office said the "Black Bear Academy" that Tsao has helped fund was seeking to incite separatism that would endanger cross-strait ties. Tsao, one of Taiwan's richest men who has pledged to provide millions to two civilian defence training programmes, told a press conference that China was threatening the lawful holding of political views in Taiwan and his personal safety. The lawsuit will be lodged in a Taipei court against Song Tao, head of China's Taiwan Affairs Office, and also the office's spokesman Chen Binhua. Taiwan courts have no jurisdiction in China and senior Chinese officials do not visit the island.

As many as 3.32 crore voters will cast their votes in 37,809 polling stations across State

Jun 26, 2024

Global demand for renewable energy is surging so why make solar panels, wind turbines and EVs dearer for western consumers?

Emerging Chinese Smartphone maker Vargo Technology Showcased in Times Square

Philippe Jourdan: Partner - Promise Consulting