Microsoft Current Affairs

Microsoft launches Project Brainwave for real-time Artificial Intelligence

Software giant Microsoft has launched Project Brainwave, a deep learning acceleration platform for real-time artificial intelligence (AI).

Its launch is important as the real-time AI has increasingly became important as cloud infrastructures process live data streams, whether they be videos, sensor streams, search queries or interactions with users.

Key facts

The ‘Project Brainwave’ uses the massive field-programmable gate array (FPGA) infrastructure which has been deployed by Microsoft over the past few years. It can processes requests as fast as it receives them with the help of ultra-low latency.

The Project Brainwave system architecture reduces latency, since its Central Processing Unit (CPU) does not need to process incoming requests. It als allows very high throughput, with the FPGA processing requests as fast as the network can stream them.

The system has been architected to yield high actual performance across a wide range of complex models, with batch-free execution. It can handle complex, memory-intensive models such as Long Short Term Memories (LSTM), without using batching to juice throughput.

Artificial Intelligence (AI)

Artificial intelligence is branch of computer science concerned with making computers behave like humans. In contrast to normal hardware and software, AI enables a machine to perceive and respond to its changing environment.

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Karnataka ties up with Microsoft to develop India’s first Farm Price Forecasting Model

Karnataka Government has signed a Memorandum of Understanding (MoU) with software giant Microsoft India to develop a unique “farm price forecasting model.”

The proposed initiative is claimed to be the first-of-its-kind in the country. It will aid farmers from states to predict farm prices in advance and deal effectively with the unpredictable market.

Key Facts

The farm price forecasting model will use latest IT tools in a bid to help farmers, administrators and other stakeholders to understand market behaviour in advance. It will be a “multi-variate” platform that will take into consideration various factors beyond conventional supply-demand equation while forecasting prices of crops.

The model will examine a slew of related factors including weather, rainfall and external factors that impact market behaviour. It will help to provide real-time market data, besides helping analyse its implications on farm sector. The model is expected to be in place for major crops by 2018 kharif season.

Significance

The purpose of the mode is to achieve is predictability as well as stability of farm incomes. Knowing the market situation in advance, it will help farmers, policymakers and industry make informed decisions. Moreover, the forecast will aslo help the government prepare in advance for market intervention if there was an indication of price crash.

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