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In 2022, the most important trends in AI and Machine Learning will alter the timeline

#artificialintelligence

With the Covid-19 outbreak, companies from all walks of life are leveraging advanced technology to revolutionize the way we work and live. Over the past few years, technology has undoubtedly become an important feature and guideline in times of crisis. Artificial intelligence, machine learning and other related technologies have the potential to transform traditional business models from the most basic to the simplest, efficient and inexpensive. The "smart" component of smart digital solutions refers to artificial intelligence and machine learning. These two fundamental elements are called the "brains" of intelligent machines, which are used to provide efficient and efficient business solutions.


Mimicking the Five Senses, On Chip

Robohub

Machine Learning at the edge is gaining steam. BrainChip is accelerating this with their Akida architecture, which is mimicking the human brain by incorporating the 5 human senses on a machine learning-enabled chip. Their chips will let roboticists and IoT developers run ML on device for low latency, low power, and low-cost machine learning-enabled products. This opens up a new product category where everyday devices can affordably become smart devices. Rob is an AI thought-leader and Vice President of Worldwide Sales at BrainChip, a global tech company that has developed artificial intelligence that learns like a brain, whilst prioritizing efficiency, ultra-low power consumption, and continuous learning. Rob has over 20 years of sales expertise in licensing intellectual property and selling EDA technology and attended Harvard Business School. This is your host Abate, founder of fluid dev a platform that helps robotics and machine learning companies scale their teams up as they grow. So welcome Rob and honor to have you on here. Rob: Abate it's great to be here and thank you for having me on your podcast.


Future Technology Trends: 10 Trends Mapping the Global Future

#artificialintelligence

Technological discoveries are the spermatozoa of social change, says C.L.R James. That means future technology trends will change with respect to dynamic social trends. And these social trends changes with respect to changing needs and demands. There are several reasons behind rapidly changing tech trends such as coping with scarcity of resources, improving life standards, increasing overall efficiency and cutting extra costs and much more. These days, both small scale and big companies are inventing innovative tech things that seem to be magical stuff for many people.


ARK Invest's Big Ideas 2022: The 14 transformative technologies to watch this year

ZDNet

ARK Invest solely invests in disruptive innovations. ARK's thematic investment strategies span market capitalizations, sectors, and geographies to focus on public companies that we expect to be the leaders, enablers, and beneficiaries of disruptive innovation. ARK's strategies aim to deliver long-term growth with low correlation to traditional investment strategies. ARK Invest defines "disruptive innovation" as the introduction of a technologically enabled new product or service that potentially changes the way the world works. ARK focuses solely on offering investment solutions to capture disruptive innovation in the public equity markets.


Demographic Confounding Causes Extreme Instances of Lifestyle Politics on Facebook

arXiv.org Artificial Intelligence

Lifestyle politics emerge when activities that have no substantive relevance to ideology become politically aligned and polarized. Homophily and social influence are able generate these fault lines on their own; however, social identities from demographics may serve as coordinating mechanisms through which lifestyle politics are mobilized are spread. Using a dataset of 137,661,886 observations from 299,327 Facebook interests aggregated across users of different racial/ethnic, education, age, gender, and income demographics, we find that the most extreme instances of lifestyle politics are those which are highly confounded by demographics such as race/ethnicity (e.g., Black artists and performers). After adjusting political alignment for demographic effects, lifestyle politics decreased by 27.36% toward the political "center" and demographically confounded interests were no longer among the most polarized interests. Instead, after demographic deconfounding, we found that the most liberal interests included electric cars, Planned Parenthood, and liberal satire while the most conservative interests included the Republican Party and conservative commentators. We validate our measures of political alignment and lifestyle politics using the General Social Survey and find similar demographic entanglements with lifestyle politics existed before social media such as Facebook were ubiquitous, giving us strong confidence that our results are not due to echo chambers or filter bubbles. Likewise, since demographic characteristics exist prior to ideological values, we argue that the demographic confounding we observe is causally responsible for the extreme instances of lifestyle politics that we find among the aggregated interests. We conclude our paper by relating our results to Simpson's paradox, cultural omnivorousness, and network autocorrelation.


The rise of industrial AI and AIoT: 4 trends driving technology adoption

#artificialintelligence

The AI adoption rate in industrial settings has increased from 19% to 31% in slightly more than two years, according to data from the recently released 252-page Industrial AI and AIoT Market Report 2021–2026. On top of the 31% of respondents that have fully or partially rolled out AI technology in their operations, an additional 39% are currently testing or piloting the technology. Increased AI adoption can be witnessed across the board but is especially strong in the energy vertical and in process industries, such as oil and gas or chemicals. The combination of high-value assets, large volumes of operational data, and processes that rely on hundreds of parameters contributes to the strong adoption in these industries. Common industrial AI applications include maintenance (e.g., predictive maintenance [PdM]), predictive quality control, the use of machine vision for fault detection, AI-optimized inventory management, and AI-based production planning and optimization.


Artificial Intellgence -- Application in Life Sciences and Beyond. The Upper Rhine Artificial Intelligence Symposium UR-AI 2021

arXiv.org Artificial Intelligence

The TriRhenaTech alliance presents the accepted papers of the 'Upper-Rhine Artificial Intelligence Symposium' held on October 27th 2021 in Kaiserslautern, Germany. Topics of the conference are applications of Artificial Intellgence in life sciences, intelligent systems, industry 4.0, mobility and others. The TriRhenaTech alliance is a network of universities in the Upper-Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe, Offenburg and Trier, the Baden-Wuerttemberg Cooperative State University Loerrach, the French university network Alsace Tech (comprised of 14 'grandes \'ecoles' in the fields of engineering, architecture and management) and the University of Applied Sciences and Arts Northwestern Switzerland. The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students.


Nest Cam review: A great security cam, indoors or out

PCWorld

With this completely new and battery-powered iteration of the Nest Cam, Google's smart home division continues to raise the bar when it comes to security cameras, setting a standard for usability (especially during setup) that most other device manufacturers can only dream of. From a hardware perspective, the Nest Cam is a radical refresh of the old teardrop-shaped Nest Cam Indoor, designed with a tough, plastic, cup-shaped housing that adheres magnetically to its surface-mountable base (it looks very similar to the now-discontinued Nest Cam IQ). It's reasonably weather resistant, carrying an IP54 rating (meaning its enclosure will keep out enough dust to prevent failure and that it's protected from water sprayed from a pressure washer at a reasonable distance), so it can be used indoors or outdoors. The 2021 version of the Nest Cam carries an IP rating of 54, meaning its enclosure will keep out enough dust to prevent failure and that it's protected from water sprayed from a pressure washer at a reasonable distance. The new Nest Cam can run on battery power, and Google says it should deliver between 1.5 and seven months of run time before it needs to be recharged, depending on usage.


Nest Doorbell review: Google's porch sentinel shines

PCWorld

It's been three years since Google launched the Nest Hello, a wired video doorbell with facial recognition that helped set the standard for smart doorbells. In that time, many competitors have appeared, but few have come close to the quality and reliability of that device. The Nest Doorbell (battery) is a Google-made video doorbell that can run on battery power (it can also operate on wired power, if you have that infrastructure and wish to connect it to your existing doorbell chime). In our tests the device performed excellently, didn't give any problems, and proved itself to be a worthy sister device to the original Nest Hello. A large, round black circle with a camera in its center is at the top of the new Nest doorbell. A small LED below that indicates when the camera is recording or processing video.


Ring Video Doorbell 4 review: Great for people deep in the Ring ecosystem; just good for everyone else

PCWorld

Ring now offers seven video doorbell models, and as you might have guessed, the company is running out of ways to differentiate them. The Ring Video Doorbell 4 looks virtually identical to the Ring Video Doorbell 3 (and the battery-only Ring Video Doorbell 2, for that matter), and it delivers the same 1080p resolution. Like the model 3, the Ring Video Doorbell 4 can operate on either battery power or your existing doorbell wiring, and both models support dual-band Wi-Fi networks (2.4- and 5GHz). That leaves color pre-roll video previews (more on that in a bit) as the only additional feature you'll get for the extra $20 in cost. As is typical of Ring home-security products, you'll need to sign up for a subscription to unlock all the Ring Video Doorbell 4's capabilities.