English language -- Textbooks for foreign speakers.

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Hannover : Schmorl & von Seefeld, 1866.

Leipzig : W. Engelmann, 1866.

Tubingen : H. Laupp, 1867.

Edinburgh : printed for William Creech, 1787.

London : Bailliere, Tindall and Cox, 1884.

[London?], [between 1700 and 1799?]

Baden-Baden : DWV, Deutscher Wissenschafts-Verlag, 2019.

Claudia Wehrhahn, Samuel Leonard, Abel Rodriguez, Tatiana Xifara.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1449--1478.

Abstract:
Identifying disease clusters (areas with an unusually high incidence of a particular disease) is a common problem in epidemiology and public health. We describe a Bayesian nonparametric mixture model for disease clustering that constrains clusters to be made of adjacent areal units. This is achieved by modifying the exchangeable partition probability function associated with the Ewen’s sampling distribution. We call the resulting prior the Restricted Chinese Restaurant Process, as the associated full conditional distributions resemble those associated with the standard Chinese Restaurant Process. The model is illustrated using synthetic data sets and in an application to oral cancer mortality in Germany.

In this paper, we extend the methodology developed for Support Vector Machines (SVM) using the $ell_2$-norm ($ell_2$-SVM) to the more general case of $ell_p$-norms with $p>1$ ($ell_p$-SVM). We derive second order cone formulations for the resulting dual and primal problems. The concept of kernel function, widely applied in $ell_2$-SVM, is extended to the more general case of $ell_p$-norms with $p>1$ by defining a new operator called multidimensional kernel. This object gives rise to reformulations of dual problems, in a transformed space of the original data, where the dependence on the original data always appear as homogeneous polynomials. We adapt known solution algorithms to efficiently solve the primal and dual resulting problems and some computational experiments on real-world datasets are presented showing rather good behavior in terms of the accuracy of $ell_p$-SVM with $p>1$.

Regularized least-squares (kernel-ridge / Gaussian process) regression is a fundamental algorithm of statistics and machine learning. Because generic algorithms for the exact solution have cubic complexity in the number of datapoints, large datasets require to resort to approximations. In this work, the computation of the least-squares prediction is itself treated as a probabilistic inference problem. We propose a structured Gaussian regression model on the kernel function that uses projections of the kernel matrix to obtain a low-rank approximation of the kernel and the matrix. A central result is an enhanced way to use the method of conjugate gradients for the specific setting of least-squares regression as encountered in machine learning.

When the data is distributed across multiple servers, lowering the communication cost between the servers (or workers) while solving the distributed learning problem is an important problem and is the focus of this paper. In particular, we propose a fast, and communication-efficient decentralized framework to solve the distributed machine learning (DML) problem. The proposed algorithm, Group Alternating Direction Method of Multipliers (GADMM) is based on the Alternating Direction Method of Multipliers (ADMM) framework. The key novelty in GADMM is that it solves the problem in a decentralized topology where at most half of the workers are competing for the limited communication resources at any given time. Moreover, each worker exchanges the locally trained model only with two neighboring workers, thereby training a global model with a lower amount of communication overhead in each exchange. We prove that GADMM converges to the optimal solution for convex loss functions, and numerically show that it converges faster and more communication-efficient than the state-of-the-art communication-efficient algorithms such as the Lazily Aggregated Gradient (LAG) and dual averaging, in linear and logistic regression tasks on synthetic and real datasets. Furthermore, we propose Dynamic GADMM (D-GADMM), a variant of GADMM, and prove its convergence under the time-varying network topology of the workers.

Supervised machine learning algorithms have seen spectacular advances and surpassed human level performance in a wide range of specific applications. However, using complex ensemble or deep learning algorithms typically results in black box models, where the path leading to individual predictions cannot be followed in detail. In order to address this issue, we propose the novel "Cyclic Boosting" machine learning algorithm, which allows to efficiently perform accurate regression and classification tasks while at the same time allowing a detailed understanding of how each individual prediction was made.

In the variational relevance vector machine, the gamma distribution is representative as a hyperprior over the noise precision of automatic relevance determination prior. Instead of the gamma hyperprior, we propose to use the inverse gamma hyperprior with a shape parameter close to zero and a scale parameter not necessary close to zero. This hyperprior is associated with the concept of a weakly informative prior. The effect of this hyperprior is investigated through regression to non-homogeneous data. Because it is difficult to capture the structure of such data with a single kernel function, we apply the multiple kernel method, in which multiple kernel functions with different widths are arranged for input data. We confirm that the degrees of freedom in a model is controlled by adjusting the scale parameter and keeping the shape parameter close to zero. A candidate for selecting the scale parameter is the predictive information criterion. However the estimated model using this criterion seems to cause over-fitting. This is because the multiple kernel method makes the model a situation where the dimension of the model is larger than the data size. To select an appropriate scale parameter even in such a situation, we also propose an extended prediction information criterion. It is confirmed that a multiple kernel relevance vector regression model with good predictive accuracy can be obtained by selecting the scale parameter minimizing extended prediction information criterion.

Restricted Boltzmann Machine (RBM) is an energy based, undirected graphical model. It is commonly used for unsupervised and supervised machine learning. Typically, RBM is trained using contrastive divergence (CD). However, training with CD is slow and does not estimate exact gradient of log-likelihood cost function. In this work, the model expectation of gradient learning for RBM has been calculated using a quantum annealer (D-Wave 2000Q), which is much faster than Markov chain Monte Carlo (MCMC) used in CD. Training and classification results are compared with CD. The classification accuracy results indicate similar performance of both methods. Image reconstruction as well as log-likelihood calculations are used to compare the performance of quantum and classical algorithms for RBM training. It is shown that the samples obtained from quantum annealer can be used to train a RBM on a 64-bit `bars and stripes' data set with classification performance similar to a RBM trained with CD. Though training based on CD showed improved learning performance, training using a quantum annealer eliminates computationally expensive MCMC steps of CD.

Aryeh Kontorovich, Iosif Pinelis.

Source: The Annals of Statistics, Volume 47, Number 5, 2822--2854.

Abstract:
We provide an exact nonasymptotic lower bound on the minimax expected excess risk (EER) in the agnostic probably-approximately-correct (PAC) machine learning classification model and identify minimax learning algorithms as certain maximally symmetric and minimally randomized “voting” procedures. Based on this result, an exact asymptotic lower bound on the minimax EER is provided. This bound is of the simple form $c_{infty}/sqrt{ u}$ as $ u oinfty$, where $c_{infty}=0.16997dots$ is a universal constant, $ u=m/d$, $m$ is the size of the training sample and $d$ is the Vapnik–Chervonenkis dimension of the hypothesis class. It is shown that the differences between these asymptotic and nonasymptotic bounds, as well as the differences between these two bounds and the maximum EER of any learning algorithms that minimize the empirical risk, are asymptotically negligible, and all these differences are due to ties in the mentioned “voting” procedures. A few easy to compute nonasymptotic lower bounds on the minimax EER are also obtained, which are shown to be close to the exact asymptotic lower bound $c_{infty}/sqrt{ u}$ even for rather small values of the ratio $ u=m/d$. As an application of these results, we substantially improve existing lower bounds on the tail probability of the excess risk. Among the tools used are Bayes estimation and apparently new identities and inequalities for binomial distributions.

China says it will improve public health systems after criticism of its early response to the virus.

T. Tony Cai.

Source: Statistical Science, Volume 34, Number 4, 635--656.

Abstract:
A wide range of nonparametric function estimation models have been studied individually in the literature. Among them the homoscedastic nonparametric Gaussian regression is arguably the best known and understood. Inspired by the asymptotic equivalence theory, Brown, Cai and Zhou ( Ann. Statist. 36 (2008) 2055–2084; Ann. Statist. 38 (2010) 2005–2046) and Brown et al. ( Probab. Theory Related Fields 146 (2010) 401–433) developed a unified approach to turn a collection of non-Gaussian function estimation models into a standard Gaussian regression and any good Gaussian nonparametric regression method can then be used. These Gaussianization Machines have two key components, binning and transformation. When combined with BlockJS, a wavelet thresholding procedure for Gaussian regression, the procedures are computationally efficient with strong theoretical guarantees. Technical analysis given in Brown, Cai and Zhou ( Ann. Statist. 36 (2008) 2055–2084; Ann. Statist. 38 (2010) 2005–2046) and Brown et al. ( Probab. Theory Related Fields 146 (2010) 401–433) shows that the estimators attain the optimal rate of convergence adaptively over a large set of Besov spaces and across a collection of non-Gaussian function estimation models, including robust nonparametric regression, density estimation, and nonparametric regression in exponential families. The estimators are also spatially adaptive. The Gaussianization Machines significantly extend the flexibility and scope of the theories and methodologies originally developed for the conventional nonparametric Gaussian regression. This article aims to provide a concise account of the Gaussianization Machines developed in Brown, Cai and Zhou ( Ann. Statist. 36 (2008) 2055–2084; Ann. Statist. 38 (2010) 2005–2046), Brown et al. ( Probab. Theory Related Fields 146 (2010) 401–433).

New research reveals a Tang Dynasty woman's love for sports—and big-eared, braying equids

45 Chinese nationals in Nepal demand flights to go home, throw stones  Hindustan TimesView Full coverage on Google News

Washington D.C., Apr 24, 2020 / 02:00 pm (CNA).- The Chinese Communist Party (CCP) covered up the spread of the new coronavirus within the country, suppressing the real rate of infection and violating the rights of its citizens as it did so, a Chinese human rights activist told a forum at The Catholic University of America on Friday.

“It is time to recognize the threat the Chinese Communist Party poses to all humanity. The CCP represses and manipulates information to strengthen its hold on power, regardless of the toll on human lives,” human rights lawyer Chen Guangcheng said April 24 during an online forum on the CCP and the new coronavirus.

The forum was hosted by Faith & Law in partnership with the Institute for Human Ecology at the Catholic University of America. Guanchen is Distinguished Visiting Fellow at Catholic University’s Institute for Policy Research and Catholic Studies.

Guangcheng is a blind human rights lawyer from China, who received sanctuary in the U.S. in 2012 after he was targeted by the CCP for his advocacy work. Guangcheng has sharply criticized the party for its human rights abuses, including from its one-child family planning policy.

He was sent to prison and subject to house arrest, during which he claims he and his family were repeatedly beaten and denied medical treatment.

On Friday, the lawyer warned audience members against suggestions that other countries should emulate China’s authoritarian response to the new coronavirus (COVID-19).

There are currently more than 2.7 million confirmed cases of COVID-19 in the world.

The city of Wuhan is recognized as the epicenter of the global pandemic, and the government on Jan. 23 instituted a strict lockdown in the city of 11 million people. Guangchang cited reports of Chinese families being barricaded inside their own homes, and the group Human Rights Watch compiled stories of residents reportedly dying from lack of access to care during the lockdown.

“Whole families have been found dead in their apartments because they could not get out,” he said, noting that despite the CCP’s claim that it has the virus under control, lockdowns are currently in force in the city of Harbin.

“This is despite the authorities ordering everyone back to work and telling the outside world that they have the virus under control,” Guangcheng said. “The resurgence is directly related to the CCP hiding the truth, and cracking down on people who tried to share information on the virus.”

He also claimed that the CCP has been using the crisis caused by the pandemic to crack down on dissent, detaining human rights activists at separate “so-called quarantine sites.”

The wife of one human rights lawyer—who had just been released from prison told The Guardian that she feared the government was putting her husband under house arrest near where he was imprisoned, 400 kilometers away from her, under the guise of a quarantine.

According to World Health Organization (WHO) statistics, China’s number of COVID-19 cases rose considerably through January and February to 79,389 on Feb. 29 with 2,838 deaths, before its daily increase in case numbers slowed to a trickle in March including just one new reported case on March 22 in the country of more than 1.4 billion people.

Just 3,352 deaths were reported on April 16 before the reported number jumped to 4,642 the next day.

“There is nothing about the CCP’s numbers that are believable,” Guangcheng said. “What people are calculating is that roughly 700,000 may have died in China—in terms of people who have been infected, no one knows the numbers.”

For instance, he said, during the Wuhan lockdown citizen journalists claimed that the situation was far worse than the CCP was reporting; they recorded people collapsing in the streets and hearses and vans carrying body bags at all hours of the day.

“In summary, the CCP is the biggest and most serious virus of all, with over 193,000 people dead worldwide from the coronavirus,” the lawyer said. “There should be no question of the regime’s threat.”

Denver Newsroom, Apr 24, 2020 / 03:32 pm (CNA).- A Catholic lawyer says his arrest last Saturday is part of mainland China’s wide-ranging efforts to tighten control over Hong Kong.

His ordeal follows his participation in months of pro-democracy protests on the island, which have been slowed by the coronavirus pandemic.

Hong Kong police arrested 81-year-old Martin Lee, along with 14 other pro-democracy protestors, on April 18. Lee has been demonstrating for universal suffrage in Hong Kong for nearly 40 years, and this is his first arrest, the Washington Post reports.

CNA spoke with one of Lee’s close friends, who said Lee and those arrested with him are currently bailed out of prison, and are safe.

Lee, the founder of Hong Kong’s Democratic Party, wrote in an April 21 column in the Washington Post that he was arrested for taking part in protests last year against an extradition bill— now withdrawn— which would have allowed the Chinese government to extradite alleged criminals from Hong Kong to the mainland to stand trial.

Hong Kong is currently facing two plagues from China, Lee wrote: the coronavirus (COVID-19) and “attacks on our most basic human rights.”

“We can all hope a vaccine is soon developed for the coronavirus. But once Hong Kong’s human rights and rule of law are rolled back, the fatal virus of authoritarian rule will be here to stay,” Lee wrote.

He said that the free press in Hong Kong was vital for alerting the world to the dangers of the coronavirus, even as Chinese state media sought to repress information about the outbreak.

Now, Chinese authorities are attempting to pass legislation to increase their influence over Hong Kong, Lee said.

Hong Kong is a special administrative region of China. Hong Kongers enjoy freedom of worship and evangelization, while in mainland China, there is a long history of persecution for Christians who run afoul of the government.

In January, China appointed Luo Huining as the head of the powerful Central Liaison Office in Hong Kong. Luo last week intensified calls for Communist China to exercise more control in Hong Kong by passing “national security legislation.”

The legislation would outlaw “sedition, subversion and the theft of state secrets,” Lee wrote.

This is not the first time the legislation has been introduced— in 2003, widespread protests against the measure led China to withdraw it.

The passing of such a “subversion” law would give China even more power to quash Hong Kongers’ freedoms, Lee warned.

“These vague standards are designed to protect the Chinese Communist Party and undermine core freedoms of Hong Kong, such as freedoms of religion, assembly and the press — including the reporting of pandemics that embarrass Beijing,” he wrote.

The Justice and Peace Commission of the Diocese of Hong Kong released a statement condemning the arrests April 18, calling for an end to all arrests until an independent commission can be established, and for the police to return the mobile phones of all arrested persons in order to ensure their privacy.

The diocese also reiterated that the government must respond to the demands for which the pro-democracy demonstrators have been calling for months, which include an independent inquiry into police tactics.

A Hong Kong friend of Lee, who declined to be identified for safety, said they believe Sun Li Jun— the deputy public security minister for Hong Kong who oversees the Chinese secret police— wanted to send a message of power ahead of Chinese Workers’ Day celebration on May 1.

The friend believes Sun— who is reportedly under investigation by China for corruption— ordered the arrests to show that the authorities have control of the pro-democracy movement in Hong Kong.

“As the followers of God, we will keep praying for [Hong Kong] and let our Lord lead the way,” Lee’s friend told CNA.

“In HK we all love China and Chinese people but we are against CCP [Chinese Communist Party] for what they did to all of us now and before.”

An estimated 1 million protesters turned out at the first major pro-democracy demonstration in Hong Kong on June 6, 2019.

Catholics have played a major role in the protests, which continued after the extradition bill was revoked. Protestors largely called for the resignation of chief executive Carrie Lam— herself a Catholic— more open elections in the region, and an investigation into police brutality allegations.

In October, the legislature of Hong Kong completed the process of officially withdrawing the controversial extradition bill.

“Had the extradition bill been passed, we could have faced trial already in China instead of Hong Kong,” Lee noted in his column.

The impetus for the bill was a case involving a young Hong Kong man whom Taiwan requested be extradited for an alleged murder. Hong Kong previously has no formal extradition agreements with mainland China or Taiwan.

Christians and advocates widely opposed the bill, fearing that the Chinese government, which already seeks to control and suppress Christianity on the mainland, would use it to further tighten its grip on free exercise of religion in Hong Kong.

 

CNA Staff, Apr 30, 2020 / 02:00 pm (CNA).- As the Chinese government makes progress containing the COVID-19 pandemic, authorities have resumed action to remove crosses from buildings and crackdown on religious practice.

The latest round of enforcement actions have included the removal of crosses from buildings belonging to the state-run churches. According to a report from UCA News, priests say they are cooperating in the removal of exterior crosses in hopes that entire church buildings will not be demolished or converted into a building for secular use.  

According to a parishioner in the Chinese province of Anhui named John, Chinese officials cut down the cross from the top of Our Lady of the Rosary Church on April 18. Our Lady of the Rosary belongs to the Chinese Patriotic Catholic Association (CPCA, the Catholic Church officially sanctioned by the Chinese Communist Party and operating both in communion with Rome and under state control. 

The bishops of the CPCA, who were in many cases illicitly consecrated and under official excommunication, were received into full communion with Rome as part of the Vatican’s 2018 provisional agreement with China. The full terms of the China deal were not released to the public but have been reported to include the right of state authorities to propose and veto candidates for the episcopacy in China. 

John, speaking to UCA News, explained that on April 13, the leaders of Our Lady of the Rosary--which does not have a member of the clergy assigned to it, and all religious activities are organized by the laity--asked the city authorities about making repairs to the church building. Three days later, the community director of the city requested keys and access to the church, in order to remove its cross. 

Concerned parishioners went to Bishop Joseph Liux Xinhong of the Diocese of Anhui, who told them to request more information from the local CPCA office. The local CPCA office said they did not know of any plan to remove the cross from the building. 

Xinhong was one of the bishops who had his excommunication lifted and his position recognized by the Vatican following the 2018 provisional deal. 

On April 17, the parish community leader said that he had been given “directions from superiors” regarding removing the cross. The following day, said John, the cross was removed by a “team of young people.”

Elsewhere in the province of Anhui, on April 19 a cross was removed from a church in Suzhou City during pre-dawn hours, presumably to avoid the chance of a crowd protesting its removal. A man from the diocese named Paul told UCA News that the removal had previously been scheduled for the afternoon. 

Paul said that police officers blocked people from entering the church or taking pictures of the removal, and that a cell phone had been confiscated after it captured a picture of the cross coming down. 

In Hefei City, which is also located in the Anhui province, authorities on April 27 took a cross off a building for a Protestant church. 

A priest from the Diocese of Anhui, identified only as “Father Chen,” told UCA News that these sorts of activities are “happening all over the mainland” and are not limited to one diocese or province. 

 “If the churches don’t unite to resist, many more crosses will be removed,” he said.

In September 2017, China enacted strict new regulations concerning religion. Since then, authorities have been vigilant in enforcing permitting requirements. Churches that are not found to be in compliance are destroyed. 

AN ENERGY-HARNESSING wave machine is set to begin sea trials later this year.

More than one-tenth pediatric patients use complementary and alternative medicines (CAM) for their medial conditions in the United States. Traditional Chinese medicine (TCM) is the most commonly used CAM in East Asia but large-scale epidemiologic studies are lacking.

In comparing TCM and non-TCM users among children in Taiwan, children’s age and parental TCM use were strongly associated with TCM use. Additionally, dyspepsia and allergic rhinitis were positively related to increasing TCM use. (Read the full article)

Major depression is common among adolescents. The PHQ-9 has good sensitivity and specificity for detecting depression among adolescents in primary care settings. However, no study has examined the psychometric properties of the PHQ-9 among Chinese adolescents in school settings.

This is the first study to validate the use of the PHQ-9, Patient Health Questionnaire–2 item, and Patient Health Questionnaire–1 item among Chinese adolescents in Taiwan. The PHQ-9 and its 2 subscales have good sensitivity and specificity for detecting depression among school adolescents. (Read the full article)

Many parenting Web sites encourage use of infant "sleep machines" to play ambient noise while infants sleep. Noise recommendations for hospital nurseries suggest a limit of 50 A-weighted dB, whereas occupational standards limit exposure times for noise >85 A-weighted dB.

We measured the maximum sound level outputs of infant sleep machines and found that several devices are capable of producing levels that may be damaging to infant hearing and may be detrimental to auditory development. (Read the full article)

Microbial exposure during early life may prevent, or reduce, the risk of allergy development.

Allergic diseases are less common in children whose parents use hand dishwashing instead of machine dishwashing, and we hypothesize that this allergy-preventive effect is mediated via an increased microbial exposure. (Read the full article)

Contezolid (MRX-I), a new oxazolidinone, is an antibiotic in development for treating complicated skin and soft tissue infections (cSSTI) caused by resistant Gram-positive bacteria. This was a thorough QT study conducted in 52 healthy subjects who were administered oral contezolid at a therapeutic (800 mg) dose, a supratherapeutic (1600 mg) dose, placebo, and oral moxifloxacin 400 mg in 4 separate treatment periods. The pharmacokinetic profile of contezolid was also evaluated. Time-point analysis indicated that the upper bounds of the two-sided 90% confidence interval (CI) for placebo-corrected change-from-baseline QTc (QTc) were <10 ms for the contezolid therapeutic dose at each time point. The upper bound of the 90% CI for QTc were slightly more than 10 ms with the contezolid supratherapeutic dose at 3 and 4 hours postdose, and the prolongation effect on the QT/QTc interval was less than that of the positive control, moxifloxacin 400 mg. At 3 and 4 h after the moxifloxacin dose, the moxifloxacin group met the assay sensitivity criteria outlined in ICH Guidance E14 with having a lower confidence bound ≥5 ms. The results of a linear exposure-response model which were similar to that of a time point analysis demonstrated a slightly positive relationship between contezolid plasma levels and QTcF interval with a slope of 0.227 ms per mg/L (90% CI: 0.188 to 0.266). In summary, contezolid did not prolong the QT interval at a therapeutic dose and may have a slight effect on QT interval prolongation at a supratherapeutic dose.

Despite the worldwide re-emergence of the chikungunya virus (CHIKV) and the high morbidity associated with CHIKV infections, there is no approved vaccine or antiviral treatment available. We here aim to identify the target of a novel class of CHIKV inhibitors i.e. CHVB series. CHVB compounds inhibit the in vitro replication of CHIKV isolates with 50% effective concentrations in the low micromolar range. A CHVB-resistant variant (CHVB^res) was selected that carried two mutations in the gene encoding nsP1 (responsible for viral RNA capping), one mutation in nsP2 and one mutation in nsP3. Reverse genetics studies demonstrated that both nsP1 mutations were necessary and sufficient to achieve ~18-fold resistance, suggesting that CHVB targets viral mRNA capping. Interestingly, CHVB^res was cross-resistant to the previously described CHIKV capping inhibitors from the MADTP series, suggesting they share a similar mechanism of action. In enzymatic assays, CHVB inhibited the methyltransferase and guanylyltransferase activities of alphavirus nsP1 proteins. To conclude, we identified a class of CHIKV inhibitors that targets the viral capping machinery. The potent anti-CHIKV activity makes this chemical scaffold a potential candidate for CHIKV drug development.

Hongyan “Red” Yuan, an instructional designer at Penn State Berks and member of the board of the Reading Chinese Association (RCA), recently helped to coordinate the donation of 1,500 surgical masks to Penn State Health St. Joseph.

The injunction means all major online retailers—including Amazon and eBay—can no longer sell Cisco-branded products offered by four Chinese companies.

Source: www.npr.org - Thursday, May 07, 2020
The version published in China Daily omitted a reference to the illness originating in China and spreading to the rest of the world. The piece was published in full on the authors' websites. (Image credit: Jason Lee/Reuters)

Bloomberg says People's Liberation Army operatives added tiny, nefarious microchips to server motherboards made by Super Micro and used by Apple and Amazon, among others. All three companies pushed back hard on the story.

The department currently has a fleet of 810 drones, which are used to monitor federal lands. Of those, 786 are Chinese-made and 121 come from DJI, the leading provider of consumer drones. DJI denies that its technology poses a threat.

No automatic approval; move seen to curb opportunistic takeovers.

Thailand Visa-Free TravelPipat Ratchakitprakarn, The Thailand Minister of Tourism and Sports, stated that there was a plan to introduce visa-free travel for tourists of China and India in the next few months of this year. Additionally there will be a…

Acting on the proposal of Phiphat Ratchakitprakarn, Tourism Minister Thailand The cabinet resolved for extending the fee waiver on visit visas in respect of visitors of India, China, and other countries. The program has a run beyond October 31 2019 until…

Dr. Datuk Noor Zari Secretary-General Tourism Ministry Malaysia stated that the tourists from India and China were among the top contributors to the tourism sector in the country.Focus on Two NationsAlso, the number of arrivals from India and China is…

HP Smart Tank 530 delivers hassle-free, reliable printing at an affordable price. It is designed to provide good ink tank experience and print quality for home users.

As per the reports, the companies with a presence in China are back in business with easing of restrictions, while India extended its lockdown further till 3rd May.  How Are Things In China? The trade association Nasscom has said member companies across the sector are operating with almost 80% attendance. Basically, the lockdown in China […]

The post Indian IT Firms Doing Chinese Operations Is Working With 80% Capacity! Chinese Economy Back On Track? first appeared on Trak.in . Trak.in Mobile Apps: Android | iOS.

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.