Pinterest has updated its search policy in an effort to stifle the spread of disinformation campaigns from the controversial anti vax movement. The move follows a spike in vaccine-preventable diseases around the world, fueled by anti-vaccine propaganda promoting that has plagued social media platforms in recent years. Refusal to immunise children on the part of so-called anti-vaxxers comes from the misguided belief in scientifically disproven claims that vaccinations are harmful and can cause autism. Pinterest's update means users can still post vaccine-related content to their pages but searches related to vaccinations will no longer return results. "If a search returns largely polluted results that violate our policies, we will stop serving the query, either temporarily," a spokesperson for Pinterest said.

For the last few months, many top artificial intelligence companies have come out and made their own place in the Indian market. India is reputed to be the market full of efficient machine learning developers. World-class software development services to countless companies are easily accessible due to these developers. The competition level in this field is increasing day by day. And, for a startup and SME, it's very confusing to pick the best artificial intelligence companies in India due to a large number of choices. So, I have listed some important factors in this blog to help you decide to hire a top deep learning company in India.

Nintendo of America has a new boss: Bowser. The aptly named executive – long-standing Nintendo executive Doug Bowser, rather than the huge and spiky turtle-like creature – will take over from Reggie Fils-Aime. Mr Fils-Aime has been at Nintendo of America for more than 15 years, and spent nearly 13 as its boss. He will leave in April, Nintendo announced. He will be succeeded by Mr Bowser, whose name has somewhat overshadowed the rest of the announcement.

After many rumours and leaks, Samsung has finally revealed its groundbreaking folding phone. It's certainly an exciting innovation but, really, what is the benefit and what will it be used for – Oh, and how can Samsung get away with charging $1,980 or €2,000 for it? The Galaxy Fold was the opening gambit at Samsung's San Francisco keynote event, where it also revealed three versions, no, four, of the Samsung Galaxy S10, a new fitness tracker and a smartwatch with a sports angle. But it was the Fold which caught the attention. In the current vogue for maximum screen size but minimum phone size, while noting that our hands aren't getting any bigger, a screen that can double in size was bound to come along sooner or later. And it looks like other companies like Xiaomi, Huawei, Motorola and even Apple are exploring the technology.

Looking at the benefits data can provide, the smart city concept is incomplete without its use. Today, smart cities are unlocking the potential of data in terms of preventing and predicting crime and terrorism. Not to mention, the two elements can bring devastating changes to life in cities. According to sources, today, the most successful smart cities are those that are utilising the gathered data to predict and prevent crime and terrorism. Along the way, they are strengthening the connected infrastructure that is key to establishing a secure urban environment.

Insurance companies have the opportunity to create new sources of revenue by rethinking their traditional roles and adopting an ecosystem mind-set. An ongoing drive toward digitization has put the insurance industry on the verge of a paradigm shift. The pace of change has accelerated thanks to tremendous increases in the volume of electronic data, the ubiquity of mobile interfaces, and the growing power of artificial intelligence. In the early years, companies that digitized were at the forefront of the industry. Today, digitization has permeated every level of the competitive landscape. Society's growing reliance on digital technologies is not only reshaping customer expectations but also redefining boundaries across industries. Insurers cannot avoid this phenomenon: as traditional industry borders fall away, the future of insurance stands to be greatly influenced by platforms and ecosystems.

Kicking off a new year is always a great opportunity to look back at what transpired over the last 12 months. We passed along the top robotics stories and most-funded robotics companies of 2018. Now it is time to look ahead at what to watch in 2019. Stay tuned for trends and startup companies to track, but 2019 is also a pivotal year for major companies working in robotics, too. Below, in alphabetical order, are major companies in the robotics space to watch in 2019.

The hardware segment is projected to witness the highest growth rate during the forecast period. Algorithm Segment Review Based on algorithm, it is classified into deep learning, querying method, natural language processing, and context aware processing. The deep learning segment is projected to grow at the highest CAGR during the forecast period, owing to increase in use of signal reduction, data mining, and image recognition, which are integral components of most AI protocols. Global AI in healthcare Market: Key Geographic Segment Based on region, the AI in healthcare market is divided into North America, Europe, Asia-Pacific, and LAMEA. North America accounted for the largest market share in the AI in healthcare market in 2016, and is expected to retain its dominance throughout the forecast period.

A key balancing act in machine learning is choosing an appropriate level of model complexity: if the model is too complex, it will fit the data used to construct the model very well but generalise poorly to unseen data (overfitting); if the complexity is too low the model won't capture all the information in the data (underfitting). In deep learning or machine learning scenarios, model performance depends heavily on the hyperparameter values selected. The goal of hyperparameter exploration is to search across various hyperparameter configurations to find a configuration that results in the best performance. Typically, the hyperparameter exploration process is painstakingly manual, given that the search space is vast and evaluation of each configuration can be expensive. The model parameters tell how to transform input data into desired output whereas, the hyperparameters are used to determine the structure of the model in use.

Major Japanese and Chinese e-commerce companies Rakuten Inc. and JD.com Inc. said Thursday they will tie up and commercialize an unmanned delivery service in Japan to save the time, cost and labor involved in parcel shipments in the wake of the explosive growth of online shopping. Rakuten will employ JD.com's drones and unmanned ground vehicles, which the Chinese firm already operates in commercial services in its home country, as it prepares to introduce autonomous delivery in Japan. The Tokyo-based firm has been conducting experiments and trial services of autonomous parcel delivery since 2016, seeing it as an effective solution to the "last mile" issue of cutting the time and cost of shipping packages from transportation hubs to consumers' doors. JD.com, also known as Jingdong, launched the world's first commercial drone delivery in 2016 in China and is aiming to expand its service abroad. JD.com Vice President Xiao Jun said there are "many opportunities" in Japan for drone deliveries in mountainous areas and remote islands.