Could these tools improve learning for African students?
CategoriesSustainable News

Could these tools improve learning for African students?

Spotted: In Sub-Saharan Africa, almost 9 out of 10 children are unable to read and understand simple text by age 10. And, today, the cause of this learning gap is no longer enrolment, which has improved massively since the 1970s. Instead, the issue is the quality of education, with millions of children attending class but not learning effectively. This is often due to poor support for teachers and a lack of effective learning materials.

Edtech startup KAINO tackles this problem with a complete Early Childhood Development (ECD) mobile solution that leverages lesson guides, children’s workbooks, storybooks, and formative assessments that are aligned with a Science, Technology, Engineering, and Mathematics (STEM) blended curriculum. These materials, which are targeted at early childhood education centres and parents, help children to learn how to read and write efficiently and can be delivered through mobile and web apps.

The company’s curriculum encompasses six distinct learning areas which are crafted to foster holistic development in children. A key feature of the organisation’s approach is that it eschews traditional educational paradigms to make learning not only effective but also enjoyable for every child. This includes a focus on encouraging children’s curiosity through hands-on learning that introduces them to technology in the context of their daily lives.

KAINO’s next steps include developing its content and technology integration, as well as completing pilot programmes, cultivating meaningful partnerships, and raising awareness of the company’s offering. 

Springwise has spotted many educational tools aiming to help young people, like providing TikTok-style content to help young people understand finance or personalised online learning powered by generative AI. 

Written By: Anam Alam and Matthew Hempstead

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Deep learning tests for contaminants in food factories
CategoriesSustainable News

Deep learning tests for contaminants in food factories

Spotted: Almost all of the food that we eat is processed in some way in a factory setting. These factories need to be kept very clean to avoid bacterial contamination, which can be an expensive and time-consuming process, involving constant monitoring and testing. French startup Spore.Bio has developed a way to speed up this process without compromising on safety.

Spore.Bio’s pathogen-detection system works by using a laser to shine an optical light of a particular wavelength on surfaces. Bacteria then react to this excitation in specific ways and the company trains its computer vision and chemometrics models to recognise this spectral signature, identifying the presence of bacteria.

To train the system, the light was first shined on a huge variety of surfaces, some that held clean food, and some that held contaminated food. The images produced were analysed by machine learning models that compared the two datasets to learn how to recognise and detect the presence of bacteria on a surface.

The company has recently completed an €8 million pre-seed funding round led by London’s LocalGlobe VC, with participation from EmergingTech Ventures, No Label Ventures, and several others. The funding will be used to further develop the technology.

Combatting food pathogens is the focus of a number of recent innovations spotted by Springwise, including a spray that kills harmful bacteria on food and a technique that helps plants combat fungal pathogens by disrupting the pathogen’s ability to cause disease.

Written By: Lisa Magloff

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Managing warehouses with machine learning
CategoriesSustainable News

Managing warehouses with machine learning

Spotted: Although many people returned to in-person shopping after the COVID-19 pandemic, e-commerce has continued to grow and is expected to make up nearly 20 per cent of all retail sales in 2023. At the same time, the need for efficient logistics is growing, with the market for warehouse management systems poised to reach $12.3 billion (around €11.2 billion) by 2031. 

One new player in this field is Fulfilld, which has developed an innovative platform that uses real-time data to optimise warehouse operations by coordinating tasks between humans and robots. Fulfilld’s platform harnesses cloud-based technology, ultra-wideband connectivity, RTLS beacons, scanners, tags, and digital-twin warehouse simulations to connect systems and track real-time flow. 

The system includes both software and hardware, in the form of hand-held scanners with natural language processing capabilities, to optimise inventory and co-ordinate task instructions to both human and robotic workers. The startup’s artificial intelligence (AI) and machine learning models can also proactively recommend “on-the-fly opportunities” for better warehouse optimisation. 

The system further co-ordinates tasks and inventory locations and creates a Google Maps-like solution for warehouse workers. 

Fulfilld aims to serve mid-market customers in industries including warehousing, manufacturing, distribution, and logistics. It offers a subscription package that allows for rapid roll-out. The novel technology, the startup claims, can boost efficiency by 15-20 per cent, and reduce employee turnover – a crucial benefit amid labour shortages and supply chain disruptions. 

Many companies are calling on robots to help optimise operations across various sectors, including to build houses and support security guards.

Written By: Lisa Magloff

Reference

A TikTok-style platform for gamified workplace learning
CategoriesSustainable News

A TikTok-style platform for gamified workplace learning

Spotted: Employee training is essential, not only for ensuring that companies have the right skills to thrive, but also for keeping employees satisfied and engaged. In fact, according to Deloitte, organisations with a strong learning culture have 30-50 per cent higher engagement and retention rates. 

But corporate training courses are too often delivered in a dry manner, which limits their effectiveness. Now, startup 5Mins claims to have found a way to boost course completion rates from 5-20 per cent, which it claims are typical today, to 85 per cent. Its secret: video micro-lessons delivered in bite-sized increments.  

The platform, which bills itself as ‘the TikTok of workplace learning,’ uses artificial intelligence (AI) to create personalised daily learning recommendations for each employee. These match employees to the skills their roles demand based on their specific needs and interactions. The platform then delivers lessons from its library of more than 15,000 options. These are delivered through a scrollable social-media-style feed.

Video source 5Mins

In addition to its focus on personalisation and wide selection of content, the platform offers a variety of gamification options aimed at making learning fun and keeping employees engaged. There are also options to purchase long-form courses from favourite instructors. And subtitles in more than 20 languages ensure that training is accessible across an organisation’s different operations.  

Techniques rooted in scientific research, such as spaced repetition, chunking, and active recall, are key to the stickiness of the company’s content and integrations with calendar notifications and email nudges help employees develop a learning habit.

Springwise has spotted other innovative training platforms in the archive, including one for budding venture capitalists and another that uses holograms to train doctors.

Written By: Lisa Magloff

Reference

Combining machine learning and ancestral wisdom to uncover plant-based food ingredients 
CategoriesSustainable News

Combining machine learning and ancestral wisdom to uncover plant-based food ingredients 

Spotted: According to the UN, the Earth’s population will likely reach 8.5 billion by 2030. At the same time, climate change is going to make it more difficult to grow food, requiring a rapid and collaborative approach to the global food industry. For startup, The Live Green Company, the answer can be found in plants. The company has developed a way to use biotechnology and machine learning to replace animal, synthetic, and ultra-processed foods with precise plant-based alternatives.  

Live Green’s platform, dubbed Charaka, uses machine learning to analyse data about thousands of plants and find appropriate plant substitutes for animal-based and artificial ingredients. Charaka’s algorithms analyse complex data about the phytochemical compounds, bioactive molecules, and nutritional profiles of various plants. The company claims that the platform can “uncover hidden and non-linear relationships and predict innovative functionalities and uses” of different ingredients to find a perfect plant-based substitute.  

Developing these substitutes involves creating blends of natural plant ingredients like sunflower protein, banana, and flax meal without changing the taste, texture, or mouthfeel of the finished product. In addition, Live Green’s platform also identifies more sustainable local alternatives to vegetarian ingredients like avocado. From the idea stage to putting a new all-plant product on the shelf can take as little as 90 days. 

Live Green has thus far piloted several product lines – including burger mixes, baking mixes, frozen burgers, ice-creams, and protein bars – that are plant-based and free of additives, allergens, gluten, cholesterol, and trans fats.  

Other recent food and drink innovations spotted by Springwise include fungal fermentation for natural food colourings, protein and umami extracted from cabbages, and microbial protein for people with modified diets.

Written By: Lisa Magloff

Reference

Using machine learning to map worldwide waste
CategoriesSustainable News

Using machine learning to map worldwide waste

Spotted: Every year we dump a colossal 2.12 billion tonnes of waste. And if we filled trucks with this rubbish, there would be vans to go around the globe 24 times. Although our rubbish clearly isn’t stored just in trucks, do we know where it actually goes? Edinburgh-based data analytics firm Topolytics is looking for answers with its data aggregation and analytics platform that aims to make the world’s waste visible, verifiable, and valuable.

The platform, called WasteMap, collects and analyses data about waste types, amounts, and movements to create insights for waste producers, investors, and governments across numerous sites, regions, and countries. With this, Topolytics envisions waste and management resources becoming more transparent and effective for both commercial use and the environment.

Michael Groves, Topolytics chief executive, explains that, “it helps waste producers and recyclers to drive resource and cost efficiencies, to trace the movement of waste and measure their impact, whilst validating performance and improving the quality and reliability of ESG and carbon reporting.”

The Scottish firm has reportedly raised £1.5 million (around €1.69 million) from “seasoned hight-net-worth-investors” and a UK Research and Innovation grant. With this money, the company claims it will launch its WasteMap solution and further commercial business.

Springwise has previously spotted other intelligent technologies that help manage the waste we make, including an AI-powered litter-picking vehicle and an AI-handled waste-sorting process.

Written By: Georgia King

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Computer vision, automation, and machine learning boost insect farming
CategoriesSustainable News

Computer vision, automation, and machine learning boost insect farming

Spotted: Experts are becoming increasingly concerned about how the world’s growing population will be fed in an equitable and sustainable way. One solution is edible insects – both for human consumption, and as pet food in order to help free up land and resources. Insects require far less space and fewer resources to farm than other proteins like beef or chicken, but producing them en masse has proved challenging so far. Tech company Entocycle is using innovative technology to help. 

The London-based startup uses smart technology to help insect farms work efficiently and sustainably (and manage billions of insects at any one time). Its technology aims to help farms improve accuracy, efficiency, and enable less need for manual involvement, such as by measuring populations in a farm to automate food requirements and controlling the temperature to optimise insect health.

The company focuses on black soldier fly farms, an insect that grows very rapidly – and can survive on food waste. They contain all the nutrients humans need for good health, including more zinc and iron than lean meat, and more calcium than milk.  

Entocycle recently raised $5 million (around €4.7 million) in a recent Series A funding round, which the startup will use to expand the commercial roll-out of its products and services. 

Entocycle is not alone in developing technology to help make insect-growing a viable and sustainable operation. Springwise has also spotted vertical mealworm farms that produce plant and animal feed, and AI-powered insect microfarms.

Written By: Jessica Bradley

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saffet kaya architects brings a high-tech learning hub to cyprus
CategoriesArchitecture

saffet kaya architects brings a high-tech learning hub to cyprus

high-performance architecture in cyprus

 

Saffet Kaya Architects, a practice based in both Cyprus and the UK, has built a Science and Technology Center for the Cyprus International University in Nicosia. The project has introduced twenty-two classrooms and thirty-three research laboratories to accommodate thirteen separate fields of engineering on the campus.

 

While many of these spaces are highly specialized for their field, the center can simultaneously host non-engineering courses, lending a highly efficient use of the space. With this cross-disciplinary programming, the space is a collaborative learning hub which promotes interactions between students across departments.

saffet kaya architectsimages courtesy Saffet Kaya Architects | @saffetkayaofficial

 

 

inside the science and technology center

 

The team at Saffet Kaya Architects designs its Science and Technology Center in Cyprus with respect for its environment — both with its orientation within the site, and with its forward-thinking technological systems. The architects organize the building across only two levels, keeping a low-lying presence in order to minimize its presence among the Cyprus International University campus. ‘The silhouette of the building is proportionate to its surroundings and is in harmony with its environment,’ explains the team. Inside, the building opens up into three levels, with a full story embedded underground.

 

The ground level hosts multi-purpose classrooms, while the administration, faculty, and IT laboratories are located on the first floor. Meanwhile, specialized experimental laboratories are located along the lower level. These underground spaces still benefit from natural light and ventilation with access to sunken courtyards.

saffet kaya architects

 

 

the efficient design by saffet kaya architects

 

Multi-purpose classrooms are strategically located at ground level, meeting the demands of different departments including students arriving from other faculties. The Administration, Faculty, and IT Laboratories are located on the first floor, establishing a formal setup, whilst specialist experimental labs are situated at the lower ground level but still benefit from natural light and ventilation with access to sunken courtyards.

 

The group explains: ‘It is also possible to passively ventilate the internal spaces throughout both day and night time from each façade, allowing outside air to enter the space through courtyards and external surfaces. The enclosed spaces are equipped with controlled façade openings with a high-level automation system and thermal solar chimneys acting as ventilation shafts located at opposite sides of the rooms along the corridors, to provide natural cross ventilation, enabling energy saving and enhanced sustainability.

 

‘Each façade elevation is independent from the other in design, and new technologies such as thermal chimneys and building-integrated photovoltaics (BIPV) were used for the first time.’

saffet kaya architects
each facade is unique, designed according to contextual parameters

 

 

The team continues, describing the performance of the building: ‘The south façade of the building is angled and fully clad with second-generation thin film BIPV panels to maximize solar gain. The north facade, which does not have any direct sunlight, is clad with an all-glass structure allowing natural light in, whilst providing an X-ray effect revealing the skeleton of the building. The east and west façades are aluminum-clad and have louvered openings that are angled to prevent direct solar radiation.

 

‘The introduction of thermal chimneys for natural ventilation, photovoltaic panels for solar gain, and the steel structure with lighter and longer structural spans in composition with a solid concrete structure, are all novel and unconventional architectural design solutions and methodologies in this region. Treating every façade differently by taking contextual parameters into consideration and introducing different transparency are also new experimentations.’

saffet kaya architects
 thermal chimneys are integrated for natural ventilation saffet kaya architects
the structure, mechanical ducts, wiring, and tectonics are left exposed



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