Google Nest markets smart home products including smart speakers, smart displays, streaming devices, thermostats, smoke detectors, routers, and security systems including smart doorbells, cameras, and smart locks. It is a brand of Google LLC. The Nest brand was merged into Google's home-devices unit led by Rishi Chandra in 2018. Alphabet-Nest announced the brand name of Google Nest in In May 2019 for all Google Home electronics products. The Nest Learning Thermostat is a popular electronic item that is programmable and has the capacity for self-learning. Its Wi-Fi-enabled thermostat optimizes the heating and cooling of homes to conserve energy. It is based on a machine learning algorithm for the first weeks, users have to regulate the thermostat to provide the reference data set.
It’s a computer program that has been developed to play the board game Go. Although DeepMind Technologies developed AlphaGo, later it was acquired by Google. The future successors of AlphaGo AlphaGo Master, AlphaGo Zero, and AlphaZero, were way ahead in the power of AI. The AlphaGo program secured the record to be the first computer Go program that could beat a human professional Go player on a full-sized 19×19 board (October 2015). Next March, AlphaGo beat Lee Sedol in a five-game match creating another world record for a computer Go program to beat a 9-dan professional.
Microsoft Azure (formerly Windows Azure in 2010 and renamed Microsoft Azure in 2014) is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers. Azure services support diverse programming languages, and frameworks (Microsoft-specific and third-party software). Azure is famous for providing services concerning multiple interfaces, like
Byteflies, a med-tech company, provides business-to-business (B2B) services. B2B services refer to businesses/products that are marketed and are simultaneously designed for other companies to use. Byteflies company is a proprietary platform to set up wearable health solutions and it is associated with the development of wearable health applications, designing and providing a platform to conduct innovative clinical trials, and the value-based healthcare model.
Cogito Dialog – Call Center uses artificial intelligence (AI) and machine learning to analyze and understand emotional intelligence in a real-time manner during voice calls. It thereby assists call centers to better engage with their customers and interact with the customers to that evaluate and enhance their representatives’ performance. Cogito, an MIT Media lab product, applies principles of behavioral science to dissect complex human emotions to apply it to improve their services and predict consumer behavior.
Azure Cognitive Services applies machine learning (ML) algorithms (developed by Microsoft) and solves AI-related problems. Thus, it helps bring AI within the reach of every developer, irrespective of the expertise of the developer. The service requires an API call to embed the ability to sense signals (through vision, sound, speech, etc) and then make a decision (https //azure.microsoft.com/en-in/services/cognitive-services/).
Comfy aims at creating astounding workplace experiences. With expertise in machine learning, UX design, and enterprise service, we create great relationships between people and their workplaces (https //www.itworldcanada.com/ai/listing/comfy-by-building-robotics/).
It is another popular virtual assistant that is the creation of Microsoft. It was first demonstrated at the Microsoft BUILD Developer Conference (in 2014) in San Francisco. Cortana has been developed for a wide variety of OS, like Windows 10 computer system, Windows 10, or 8.1 mobiles. The attributes of Cortana are voice recognition, getting input from sensors, reminder settings for the user, etc. Besides, it can converse with the user and respond to queries intelligently. Cortana can invoke smart speakers, Microsoft Band, Surface Headphones, Xbox One, iOS, Android, Windows Mixed Reality, and Amazon Alexa. The development of Cortana started in 2009 in the Microsoft Speech products team. Cortana is currently available in English, and 7 other language editions (5 European, Chinese, and Japanese). Microsoft removed Cortana from Android and iOS on January 31, 2020 (https //en.wikipedia.org/wiki/Cortana).
Argo AI is a self-driving car startup. It has grown up as a leading technology platform company working in liaison with automakers to deliver a fully integrated self-driving system. Ford is aiming to apply “Level 4” automation to produce self-driving vehicles capable of plying on roads without passenger supervision” (https //www.argo.ai/). The majority of the ownership of Argo AI was acquired by Ford Motor Co. in February 2017.
Figure Eight (formerly known as Dolores Lab, CrowdFlower) is a human-in-the-loop machine learning and artificial intelligence company. It was founded in San Francisco, USA by Lukas Biewald and Chris Van Pelt (December 2007). The principle of working is that the algorithm is trained by first using human intelligence for doing any tasks (reading text or visualizing images), which is used consistently used to train machine learning algorithms. Future eight is now a Machine Learning Competency Partner in the Machine Learning Partner Solutions program of Amazon's AWS.
Google has developed this AI-powered virtual assistant that is primarily available on mobile and smart home devices. Be informed that Google Now was the previous virtual assistant Google. The Google Assistant can maintain two-way conversations. The first appearance of Google Assistant was evident in May 2016 as part of Allo (the messaging app of Google) with Google Home (voice-activated speaker of Google), during Google's developer conference on May 18, 2016.
DeepMind Technologies, a London-based artificial intelligence company (with research centers in Canada, France, and the United States), was founded in September 2010 (as a start-up by Demis Hassabis, Shane Legg, and Mustafa Suleyman). It was then acquired by Google in 2014. Thereafter, it became a wholly owned subsidiary of Alphabet Inc in 2015. The AI technology adopted by this company is through the use of a neural network modeled to learn playing video games. Deepmind can mimic the short-term memory of humans, by enabling its “Neural Turing machine” (i.e. the neural network) to access external memory like a conventional Turing machine. The enhanced ability of the AlphaGo program of Google Deepmind defeated Lee Sedol, a professional Go player and the world champion, in a five-game match in 2016. The other version, AlphaZero (a more general program, that uses reinforcement learning), defeated the most powerful programs playing go, chess, and Japanese chess shogi.
It’s a platform to accelerate AI ML-based projects for budding start-ups to propose and conduct work that is propelled by AI-ML. It has several branches, including that in the health care sector. The objective is to help accelerate applied ML and AI innovation in various sector, depending on the need of various sectors and geographical regions (https //developers.google.com/community/launchpad).
Waymo LLC, founded on January 17, 2009, is an American autonomous driving technology development company. Waymo originated as a project of Google and became a stand-alone company in December 2016. Waymo is now completely owned by Alphabet Inc. Waymo started a trial of self-driving taxi service in Phoenix, Arizona in April 2017 (with limited area coverage). A commercial self-driving car service, "Waymo One", was launched (in December 2018) in the Phoenix metropolitan area.
Litterati is an online project in which users (mostly private individuals) collect and correctly dispose of waste lying around on the street and in nature, and document the whole thing using a mobile phone app. Litterati was founded by the American Jeff Kirschner to combat the worldwide problem of carelessly discarded waste. The movement began on Instagram in 2012, when Kirschner photographed a cigarette butt and published it on Instagram in combination with the hashtag Litterati (#Litterati). Kirschner noticed that his #Litterati was used by more people and came up with the idea of developing a special app for it. The first version of the app was released on August 16, 2015. Litterati's job is to identify problem areas where there is a lot of waste and to determine which types and brands of waste are most common. Litterati would like to use the data collected in collaboration with companies and organizations to find more sustainable solutions (Wikipedia).
it is an integrated software solution, modeled through a hybrid approach to link hardware and software interfaces. It offers business solutions through Azure cloud platform-based computing software developed by Microsoft.
Netflix, Inc. is an American media-services provider and production company headquartered in Los Gatos, California, founded on August 29, 1997, in Scotts Valley, California, by Reed Hastings and Marc Randolph. Netflix is a subscription-based online streaming service that provides films and television programs.
It is an American technology company, founded on April 5, 1993, by Jensen Huang, Curtis Priem, and Chris Malachowsky, in Delaware. Graphics processing units (GPUs) are produced by Nvidia for gaming and professional users. Besides, it produces system-on-chip units (SoCs) for the mobile computing and automotive market. "GeForce" is the popular product of Nvidia which captures a commendable market against its rival Advanced Micro Devices (AMD) "Radeon" products.
Power Business Intelligence is a business analytics service by Microsoft that offers cloud-based business intelligence services, interactive visualizations, as well as an interface to create reports and dashboards for the end users. Power BI has two sections named "Power BI Services" which provide cloud-based BI services, and "Power BI Desktop" with a desktop-based interface.
It is a virtual assistant of Apple Inc.'s Macintosh operating system, iOS, iPadOS, watchOS, and tvOS operating systems. It can respond to several kinds of voice queries, make recommendations, answer questions and perform actions. Siri is a product of a project of the SRI International Artificial Intelligence Center.
Sophia has been developed by Hanson Robotics (Hong Kong) to produce a social humanoid robot, with the ability to display more than sixty facial expressions. She made her first public appearance in Austin, Texas, United States during the Southwest Festival (SXSW) in March 2016. Interestingly, Sophia was granted citizenship in Saudi Arabian, the next year. It thus created a world record that any robot to receive citizenship in any country for the first time.
Urine-Related infections can be identified with higher confidence in veterinary practices.
AI-enabled cameras records each activity/movement like eating/drinking, sitting/walking, docility/ferociousness, response to environmental stimuli, sleeping, etc and behavior of the pets which is very useful to study healthy vs diseased conditions of the pets. Besides, the information is critical for studying behavioral genetics and animal psychology.
To identify cardiac ailments
These programs recommend possible diagnostic testing substitutions for next-step treatments based on clinical signs and investigated results.
This is a smart technique to read the RFID signals and identify the animals based on the signal frequency emitted by the tags tied to it. Such tags are used for regulating animals in herd, automated milking in the milk parlor, identifying specific animals based on the tags (viz. isolating a diseased animal), ect.
The reaction of any species to a certain stimulus is governed by the basic psyche of the animals of the species. AI can be used to unveil the thinking patterns of animals, their mood swings, flight or flight response to any provocation, etc.
The models are trained so that the healthy and diseased livestock/birds can be differentiated based on their physical appearance, nasal secretion, behavioral changes, etc. Besides, the same principle applies to wild animals, which can save those precious lives.
The behavioural changes among the female cattle/buffalo in estrus can be stressed by analyzing the behavioural changes (restlessness, mounting behavior bellowing, vulval swelling etc), and monitoring physiological changes detected by automated sensors, etc.
large flocks of bovines, small ruminants, and larger birds like emu, turkey, etc, are required to be managed smartly to avoid animal loss/death, certain legal issues etc. Done can do the job smartly by taking photographs within a small interval and analyzing the pictures to raise alarm if the situation demands.
Analysis of X-Rays, CT-Scans, and MRI-Scans with AI-assisted imaging paraphernalia help veterinarians and scientists to infer the diseases more critically.
It leads to certain odd behavior like, feather pecking, and aggressive behavious in birds. Analyzing images of birds can determine nutritional deficiencies leading to such behaviours.
Pet-trackers screen virtually all of your pet’s actions and movements daily, like; as. This type of information opens up many opportunities for AI-based machine learning. By seeing the recording of a camera and the camera directs vigilant signs to check any alarming situation or uncomfortable to the animals.
It’s an important challenge in farm management to predict pregnancy at the earliest. AI can be used to study behavior, physiology, certain biochemical parameters etc together to determine pregnancy at the earliest.
Artificial intelligence has ample opportunities for applications in various arenas of animal and veterinary sciences, like disease prediction, disease identification, supporting one health, etc.
Various types of sensors are available for animals that are tied to their tail or necks or legs to record various physiological parameters. Such data when accumulated over some time for many animals, it generates big-data. Analyzing these data using suitable machine learning models can help develop models for predicting body physiology, reproduction parameters, hormonal changes, the healthfulness of animals, life expectancy, growth patterns, etc.
AI-based gadgets like, smart feeders and water-dispensers are being used to monitor the eating and drinking behavior of livestock in the barn/sty.animal houses. Similarly the same approach is also applied to pet owners to keep track of the drinking habits of those animals.
AI is being developed for natural language processing (NLP) to decipher the communication language between animals.
AI-enabled devices and robots can be used to train dogs, cats, etc to learn faster certain things, like the reaction to a stranger, scheduled defecation and maintaining cleanliness.