Deep learning (DL) systems have been widely adopted in many industrial and business applications, dramatically improving human productivity, and enabling new industries. However, deep learning has a carbon emission problem.a For example, training a single DL model can consume as much as 656,347 kilowatt-hours of energy and generate up to 626,155 pounds of CO2 emissions, approximately equal to the total lifetime carbon footprint of five cars. Therefore, in pursuit of sustainability, the computational and carbon costs of DL have to be reduced. Modeled after systems in the human brain and nervous system, neuromorphic computing has the potential to be the implementation of choice for low-power DL systems.

Deep learning models are wonderful, and we always want to use the newest cutting edge solutions to get the best results. But once in a while you stumble upon a relevant whitepaper that looks relevant to the task on hands, even though it's made a few years ago. And few years is an ethernity for the deep learning projects: old versions of frameworks, CUDA, python, etc -- nothing of that is easy to just install and laucnh on the modern systems. Usual answer for that would be Anaconda, but it doesn't provide enough isolation when it comes to the GPU accelerated models. My way of dealing with this problem would be of no surprise to the most: containerisation, in other words -- Docker.

This is a project that is organized by Datatalks.Club. In this competition, one has to train a deep learning model in tensorflow or pytorch to classify kitchenware items. I used tensorflow and keras for this task. As an image classification model, when given the image of one of the above-listed kitchenware items, the model will output probailities for each of the six classes. The highest probability serves as the model's final classification.

Even if you do not work in software development, being able to write code gives you a significant edge over everybody else. So if you are working in fields like biology, chemistry, finance etc, more familiarity with relevant technologies and being able to write code makes your job much faster and efficient to a point that it is almost a necessity now. Machine learning is becoming increasingly important in the software industry, and many companies are using it to improve their products and services. However, it's not necessary for every software developer to be an expert in machine learning in order to remain relevant in the industry in the coming years. While having a basic understanding of machine learning concepts and techniques can certainly be beneficial for a software developer, it's not essential for every role.

OpenAI is led by Sam Altman, who became well known in Silicon Valley as the head the start-up builder Y Combinator. Mr. Altman, 37, and his co-founders created OpenAI in 2015 as a nonprofit. But he soon remade the venture as a for-profit company that could more aggressively pursue financing. A year later, Microsoft invested $1 billion in the company and committed to building the supercomputer technologies OpenAI's enormous models would demand while becoming its "preferred partner for commercializing" its technologies. OpenAI later officially licensed its technologies to Microsoft, allowing the company to directly add them to Microsoft products and services.

It's a new year, but the industry's struggles are showing no signs of abating. Big firms are as susceptible -- if not more so. This week, Alphabet joined the growing list of tech giants making staff cuts amid ongoing economic struggles. Following a wave of layoffs from the likes of Amazon, Meta and Salesforce, Alphabet has begun letting people go. The company's "Other Bets" division is the first to see impact.

Boomi, the intelligent connectivity and automation leader, announced that MyRepublic Digital, the digital transformation company powering MyRepublic, an award-winning telecom operator in the Asia-Pacific, has implemented The Boomi AtomSphere Platform to achieve higher levels of efficiency, performance, and ultimately a better experience for customers. "For instance, we've observed a marked reduction in customer waiting time for modems between one and two business days, allowing us to provide faster service." MyRepublic Digital, a recently launched technology business spin-out, helps operators achieve their business outcomes with its readily deployable cloud-native multi-tenant software as a service (SaaS) platform, Encore. In the hyper-competitive telecom market, staying fast and agile when it comes to service delivery is key to success. To enhance the efficiencies of the Encore platform, and its real-time decision-making capabilities, without compromising on scalability or security, MyRepublic Digital selected Boomi's award-winning integration platform as a service (iPaaS).

VSBLTY Groupe Technologies Corp.a leading software provider of security and retail analytics technology, announced it has formed an alliance with the Al Jabr Group to bring digital out-of-home solutions and the Store as a Medium (SaaM) concept to retail outlets, the oil & gas industry and smart cities in five middle east countries. A family-owned multi-dimensional company with more than 6,000 employees in the region, Al Jabr already has invested USD$1.6 million in VSBLTY to date. The agreement calls for VSBLTY to provide advanced artificial intelligence (AI) technology for all deployments, while Al Jabr will be responsible for developing contracts and for hardware procurements and installations. Elliptic Labs a global AI software company and the world leader in AI Virtual Smart Sensors, has launched its AI Virtual Proximity Sensor INNER BEAUTY on Xiaomi's latest smartphone, the Redmi 11SE, for the India market. Xiaomi is the third-largest smartphone manufacturer in the world and has been partnering with Elliptic Labs since 2016.

Around the time computers were old enough to drink, software engineering guru Gerald Weinberg said: "If builders built buildings the way programmers wrote programs, then the first woodpecker that came along would destroy civilization." This is not a plotline science fiction authors have ever neglected. Actually, some titles are still worth a trip to the library: for example, Poul Anderson's Sam Hall from 1953, which shows how too much reliance on "infallible" computer surveillance can turn into an autoimmune collapse for a nation-state, or, for that matter, any large organization. At the more obscure end of the spectrum, there is Swedish Nobel Laureate Hannes Alfvén, publishing in Swedish under the pseudonym Oluf Johannesson, with Sagan om den stora Datamaskinen [Tale of the Big Computer] from 1966. As with almost all science fiction pieces, however, they miss the future by a wide margin.

AI startups is an area that has been growing for the past several years. This relatively new technology has applications in dozens of professions and niches the world over. And, in 2020, the market research firm Tractica forecast the global AI software market to be worth $126 billion by 2025. This is just one of many stats indicating that an AI startup would be a smart enterprise in which you might invest. If you're wondering about the benefits of AI companies, there are many.