YouTube parent company Google on Monday released what it said would be the first quarterly report outlining efforts to enforce its community guidelines. The report, which looked at the last quarter of 2017, said that it removed eight million videos from YouTube during the quarter, adding that the videos it removed "were mostly spam or people attempting to upload adult content." Of note, however, is that YouTube's machine-learning algorithm spotted the overwhelming majority of the content. During the company's quarterly earnings call Monday, Google CEO Sundar Pichai said that "over six million videos removed in Q4 were first flagged by our machine systems, and over 75% of those videos were removed before receiving a single view." The company introduced its machine flagging in June, 2017.
Alphabet, Google's parent company, is spending like it is beginning to prepare for life after advertising. Currently, Alphabet makes nearly 90 percent of its money from selling advertising on the internet, and gobbles up heaps of data about its users to help marketers target those ads more effectively. But a close reading of Alphabet's financial results for the first quarter of 2018, which were announced on Monday, showed that the Silicon Valley giant is accelerating its efforts to diversify into other businesses. Alphabet has made investments in areas like self-driving cars and online computer services for businesses for years, but spending in those areas was up dramatically in the first quarter. The company's capital expenditures, which included installing undersea cables and the construction of new data centers, were $7.7 billion -- more than triple the same period last year.
AI systems can be trained to help astronomers identify if galaxies are still active in producing new stars, according to a new study published in The Astrophysical Journal. A team of researchers have built a CNN to identify galaxies at various evolutionary stages. Galaxies are mostly massive blobs of gas, dust and stars and it can be difficult to study how they evolve over time as it unfolds over billions of years. Scientists have had to piece together the process by taking snapshots or creating simulations of different galaxies in the past. But the CNN appears to be able to make the right call around 80 per cent of the time.
Researchers have developed a device that acts as an interface to the stage of sleep in which hallucinations occur, allowing people to control the content of their dreams. A team from MIT created the Dormio device to explore ways to augment a person's creativity through exploiting the semi-lucid Hypnagogia stage of sleep. The Dormio system works by using a hand-worn device to track this transitional state through biosignals -- such as heart rate and muscle tone. Once the wearer is about to leave Hypnagogia and transition into deep sleep, a bedside robot is triggered to emit a noise to push them back into the dream state. If the noise used to slightly wake the person is a word, the researchers found that it could enter the Dormio wearer's dreams.
LONDON--(BUSINESS WIRE)--Autonomous Research, a global research firm focused on financial services, has announced the publication of Augmented Finance and Machine Intelligence, an in-depth look at the way artificial intelligence is transforming the financial services industry. Autonomous estimates that over $1 trillion of today's financial services cost structure could be replaced by machine learning and AI. This would affect 2.5 million employees in the US alone. This shift will impact operations across all functions and segments of the financial industry, from bank tellers to portfolio managers to insurance underwriters. By 2030, Autonomous expects $490 billion in costs to be exposed to AI in distribution, $350 billion in the middle office, and $200 billion in financial product manufacturing.
There is no denying that we are entering a new phase in how technology helps to connect brands with consumers. We are moving from visual interfaces to text and voice. Speaking to our devices like we speak to our friends, family and colleagues. As messenger apps secure the lion's share of our connected time, customers will increasingly expect and want to interact with brands in these channels. And Facebook, and Viber, and Kik, want to connect you with brands on their platform, like (most of) China does on WeChat which has 800 million users and millions of services available within the app.
Have you ever shopped online for a mattress? Then you know the drill. For weeks after you made a decision, and perhaps even after you took delivery, you still see ads following you around the internet, promoting this mattress manufacturer or that. You think, "if this is a sample of artificial intelligence, then where's the intelligence?" AI and efforts to make digital services more personalized remain "a fairly blunt instrument," says Alan McIntyre, senior managing director, Accenture Global Banking, in an interview with Banking Exchange.
NEW DELHI: In a concerted effort towards making India a leading nation in the field of artificial intelligence, Prime Minister Narendra Modi has asked Niti Aayog to familiarise all ministries with the high-end technology and explain how it can be leveraged to address the country's socio-economic problems. Central ministries will be required to set up dedicated artificial intelligence cells and eventually they will all be integrated to help scale up the performance of all social indicators. Following this directive from the PM, the government's think-tank is likely to periodically review the progress made on AI across ministries. The Aayog has already initiated pilot projects on adoption of AI across health, education and agriculture. By May end, it will formulate a national strategy/policy on AI, outlining the scope of research, adoption and commercialisation of the technology.
This learning path will introduce you to neural networks, TensorFlow, and Google Cloud Machine Learning Engine. Even if you don't have any previous experience with machine learning, that's okay, because these courses cover the basic concepts. The first course explains the fundamentals of neural networks and how to implement them using TensorFlow. Then it shows you how to train and deploy a model using Cloud ML Engine. The second course explains how to build convolutional neural networks, which are very effective at performing object detection in images, among other tasks.
The report also provides a professional and in-depth analysis on the global market while formulating industry insights into its current state of affairs. The report offers details on the pricing structure and channels of distribution of equipment suppliers in the global industry. Factors such as low penetration, rapid advances in technology, and high fragmentation are inducing high competition in the market. Most of the market is still untapped and there are considerable growth opportunities for new players entering this industry. However, owing to high fragmentation the competition is expected to intensify in the coming years.