The vision was set out by UK Foreign Secretary James Cleverly and calls upon international partners to collaborate and coordinate their efforts in harnessing AI for development in Africa and making progress towards the UN’s Sustainable Development Goals.

As part of its efforts, the UK is launching the ‘AI for Development’ programme in partnership with Canada’s International Development Research Centre (IDRC). The primary focus of this initiative is to assist developing countries, primarily in Africa, in building local AI capabilities and fostering innovation.

The announcement coincides with the UK’s co-convening of an event on AI during the margins of the UN General Assembly. This high-level session – chaired by US Secretary of State Antony Blinken – will assemble governments, tech companies, and non-governmental organisations (NGOs) to explore how AI can expedite progress towards the Sustainable Development Goals. These goals aim to create a healthier, fairer, and more prosperous world by 2030.

In parallel with these efforts, the UK is committing £1 million in investment towards a pioneering fund known as the Complex Risk Analytics Fund (‘CRAF’d’). This fund, in collaboration with international partners, will harness the power of AI to prevent crises before they occur. Additionally, it will provide assistance during emergencies and support countries in their recovery towards sustainable development.

Foreign Secretary James Cleverly said:

“The opportunity of AI is immense. It has already been shown to speed up drug discovery, help develop new treatments for common diseases, and predict food insecurity—to name only a few uses.

The UK, alongside our allies and partners, is making sure that the fulfilment of this enormous potential is shared globally.

As AI continues to rapidly evolve, we need a global approach that seizes the opportunities that AI can bring to solving humanity’s shared challenges. The UK-hosted AI summit this November will be key to helping us achieve this.”

Julie Delahanty, President of the International Development Research Centre (IDRC), expressed her satisfaction with the collaboration between IDRC and the UK Foreign, Commonwealth & Development Office (FCDO).

“IDRC is pleased to announce a new collaboration with FCDO, a key ally in tackling the most pressing development challenges,” said Delahanty.

“The AI for Development program will build on existing partnerships, leveraging AI’s capacity to reduce inequalities, address poverty, improve food systems, confront the challenges of climate change and make education more inclusive, while also mitigating risks.”

This announcement underscores the broader commitment of the UK to employ AI innovation to tackle global challenges, including the pursuit of the Sustainable Development Goals.

In a separate event, scheduled for 1-2 November 2023, the UK will host the world’s first major AI Safety Summit at the historic Bletchley Park in Buckinghamshire. This summit aims to garner international consensus on the urgent need for safety measures in cutting-edge AI technology.

See also: White House secures safety commitments from eight more AI companies

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The geospatial model, built from NASA’s satellite data, will be the largest of its kind on Hugging Face and marks the first-ever open-source AI foundation model developed in collaboration with NASA.

Jeff Boudier, head of product and growth at Hugging Face, highlighted the importance of information sharing and collaboration in driving progress in AI. Open-source AI and the release of models and datasets are fundamental in ensuring AI benefits as many people as possible.

Climate science faces constant challenges due to rapidly changing environmental conditions, requiring access to the latest data. Despite the abundance of data, scientists and researchers struggle to analyse the vast datasets effectively. NASA estimates that by 2024, there will be 250,000 terabytes of data from new missions.

To address this issue, IBM embarked on a Space Act Agreement with NASA earlier this year—aiming to build an AI foundation model for geospatial data.

By making this geospatial foundation model openly available on Hugging Face, both companies aim to promote collaboration and accelerate progress in climate and Earth science.

Sriram Raghavan, VP at IBM Research AI, commented:

“The essential role of open-source technologies to accelerate critical areas of discovery such as climate change has never been clearer.

By combining IBM’s foundation model efforts aimed at creating flexible, reusable AI systems with NASA’s repository of Earth-satellite data, and making it available on the leading open-source AI platform, Hugging Face, we can leverage the power of collaboration to implement faster and more impactful solutions that will improve our planet.”

The geospatial model, jointly trained by IBM and NASA on Harmonized Landsat Sentinel-2 satellite data (HLS) over one year across the continental United States, has shown promising results. It demonstrated a 15 percent improvement over state-of-the-art techniques using only half the labelled data.

With further fine-tuning, the model can be adapted for various tasks such as deforestation tracking, crop yield prediction, and greenhouse gas detection.

IBM’s collaboration with NASA in building the AI model aligns with NASA’s decade-long Open-Source Science Initiative, promoting a more accessible and inclusive scientific community. NASA, along with other federal agencies, has designated 2023 as the Year of Open Science, celebrating the benefits of sharing data, information, and knowledge openly.

Kevin Murphy, Chief Science Data Officer at NASA, said:

“We believe that foundation models have the potential to change the way observational data is analysed and help us to better understand our planet.

By open-sourcing such models and making them available to the world, we hope to multiply their impact.”

The geospatial model leverages IBM’s foundation model technology and is part of IBM’s broader initiative to create and train AI models with transferable capabilities across different tasks.

In June, IBM introduced watsonx, an AI and data platform designed to scale and accelerate the impact of advanced AI with trusted data. A commercial version of the geospatial model, integrated into IBM watsonx, will be available through the IBM Environmental Intelligence Suite (EIS) later this year.

By leveraging the power of open-source technologies, this latest collaboration aims to address climate challenges effectively and contribute to a more sustainable future for our planet.

(Photo by Markus Spiske on Unsplash)

See also: Jay Migliaccio, IBM Watson: On leveraging AI to improve productivity

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The event is co-located with Digital Transformation Week.

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“The UK is one of the world’s most advanced AI economies, and AI technology is already having a transformative impact on our economy and society,” said UK Science Minister George Freeman.

“But there is tremendous potential to do more.”

The AI for Decarbonisation programme is part of the wider £1 billion Net Zero Innovation Portfolio that aims to accelerate the commercialisation of low-carbon technologies, systems and business models.

AI for Decarbonisation will consist of two initial stages:

• Stage one will provide up to £500,000 of funds to create a virtual centre of excellence on AI innovation and decarbonisation through March 2025.
• Stage two is where the remaining £1 million will be used to fund innovative AI-powered decarbonisation projects.

The AI for Decarbonisation programme offers an exciting opportunity to leverage and develop the UK’s outstanding expertise in the field,” adds Freeman.

“Putting this rapidly-evolving technology into action will enable us to save energy costs for businesses and households, create high-value, skilled jobs, and kickstart millions of pounds of private investment while supporting our net-zero targets.”

The UK is seeking to increase its energy independence following Russia’s invasion of Ukraine and the weaponisation of supplies.

New energy infrastructure to increase supply will take a long time to build, so reducing demand in the meantime is vital. Improving the insulation of homes and businesses while using technologies like AI to optimise processes are two leading solutions.

Specifically encouraged to bid for funding are AI projects that enable a faster transition to renewable energy, decarbonise industry by improving energy productivity and fuel switching, and decrease emissions in the agricultural sector. 

The programme opens for applications on 22 November 2022 and closes on 19 January 2022.

(Photo by Martin Sepion on Unsplash)

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Humans have travelled the sea in some form for tens of thousands of years—with the earliest crossings occurring around 53,000 to 65,000 years ago (when Australo-Melanesian populations migrated into the Sahul landmass – known today as Australia and New Guinea – from what used to be the Sundaland peninsula.)

It’s often said how we know more about the moon than our oceans, with around 95 percent still unexplored. Arguably, the last major ocean research expedition was between 1872 and 1876 when a converted Royal Navy gunship known as the Challenger travelled close to 70,000 nautical miles and catalogued over 4,000 previously unknown species.

Inspired by the Challenger’s story, IBM has teamed up with non-profit ProMare to make a similarly large impact on ocean research.

The autonomous ship, Mayflower, is named after the ship which carried pilgrim settlers from Plymouth, England to Plymouth, Massachusetts in 1620. On its 400th anniversary, it was decided that a Mayflower for the 21st century should be built.

Brett Phaneuf, a Founding Board Member of ProMare and Co-Director of the Mayflower Autonomous Ship project, said:

“Putting a research ship to sea can cost tens of thousands of dollars or pounds a day and is limited by how much time people can spend onboard – a prohibitive factor for many of today’s marine scientific missions.

With this project, we are pioneering a cost-effective and flexible platform for gathering data that will help safeguard the health of the ocean and the industries it supports.”

Naturally, there are more than a few differences between the original ship and the Mayflower Autonomous Ship (MAS).

Mayflower 2.0 no longer relies solely on wind power and will use a wind/solar hybrid propulsion system with a backup diesel generator. The new ship also trades in a compass and nautical charts for navigation in favour of a state-of-the-art GNSS positioning system with SATCOM, RADAR, and LIDAR.

IBM’s deep learning technology is on-board to help the ship traverse the harsh and rapidly-changing environment of the ocean.

Donald Scott, Director of Engineering at Marine AI (which partnered with ProMare on the project), explained:

“In the middle of the ocean, communications are severely limited. Conditions can change very suddenly, and you don’t have the option to stop and power down.

With MAS, we needed to go beyond the existing technology for unmanned ships, creating a vessel that isn’t just operated remotely and doesn’t simply react to the environment, but learns and adapts independently.

To do this, we had to develop state-of-the-art capabilities around navigation, collision avoidance, communications and more.”

The training of AI models for the MAS began in October 2019. The actual hull for the ship arrived in Plymouth in March and sea trials began. Over the next few months, the ship was fitted with its advanced navigation and research equipment.

Andy Stanford-Clark, CTO of IBM UK & Ireland, added:

“IBM helped put man on the moon and is excited by the challenge of using advanced technologies to cross and research our deepest oceans.

By providing the brains for the Mayflower Autonomous Ship, we are pushing the boundaries of science and autonomous technologies to address critical environmental issues.”

MAS’ voyage couldn’t arrive at a more needed time with humans causing huge amounts of damage to the health of our oceans. A UN report found our oceans are now warmer, more polluted, more depleted, and more acidic than ever before.

Rising sea levels are among the key concerns about the impact on humans, but another is the increasing number of plastics in the sea which is simultaneously causing harm to sealife and ending up in the food we eat.

Professor Richard Thompson, OBE, Director of the Marine Institute, University of Plymouth, commented:

“Microplastics present a substantial challenge to our oceans. Over 700 species come into contact with marine litter which is found from the poles to the equator, and estimates are that the quantity of plastic in the oceans will triple in the decade to 2025.”

However, armed with the right data, it’s not too late to change course and heal our oceans.

MAS is fitted with a range of sensors including acoustic, nutrient, temperature, and water and air samplers. Edge devices will store and analyse all data locally until connectivity is available. When a link has been established, the data will be uploaded to edge nodes onshore.

Unless there are any last-minute delays, MAS is set to depart on its voyage this month. The ship is due to arrive in Plymouth, Massachusetts around two weeks later. Where required, updated deep learning models can be pushed out to the ship.

MAS’ virtual crew will be based in Plymouth, UK but IBM says millions of virtual “pilgrims” will be able to experience the voyage online.

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A report from Greenpeace earlier this month exposed Google as being one of the top three developers of AI tools for the fossil fuel industry. Greenpeace found AI technologies boost production levels by as much as five percent.

In an interview with CUBE’s John Furrier, the leader of Google’s CTO office, Will Grannis, said that Google will “no longer develop artificial intelligence (AI) software and tools for oil and gas drilling operations.”

The pledge from Google Cloud is welcome, but it must be taken in a wider context.

In 2019, Google Cloud’s revenue from oil and gas was approximately $65 million. A hefty sum, but less than one percent of all Google Cloud revenues. Furthermore, Google Cloud’s revenue from oil and gas decreased by about 11 percent despite overall revenue growing by 53 percent.

While Google Cloud’s revenue from the oil and gas industry was declining, the public’s intolerance towards big polluters is increasing. The reputational damage caused to Google of continuing its relationship with polluters would likely have been more costly over the long-term.

This isn’t the first time Google has cut-off an AI-related relationship with a controversial industry to preserve its reputation.

Back in 2018, Google was forced into ending a contract with the Pentagon called Project Maven to build AI technologies for drones. Over 4,000 Google employees signed a petition demanding their management cease the project and never again “build warfare technology.”

Following the Project Maven backlash, Google CEO Sundar Pichai promised in a blog post the company will not develop technologies or weapons that cause harm, or anything which can be used for surveillance violating “internationally accepted norms” or “widely accepted principles of international law and human rights”.

Back in January, Pichai called for sensible AI regulation that does not limit the potential societal benefits.

PAX, a Dutch NGO, ranked Google among the safest companies developing AI while slamming rivals such as Amazon and Microsoft for being among the “highest risk” tech firms in the world.

(Photo by Zbynek Burival on Unsplash)

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European researchers from Capgemini have developed a platform called Project FARM (Financial and Agricultural Recommendation Models) which aims to boost farmers’ yield, optimise the value chain, and bolster the global food supply.

Project FARM is first going to be used in Kenya to assist coffee farmers. The platform was built in collaboration with East Africa-based social enterprise firm Agrics which provides local farmers with agricultural products and services on credit.

Julian van Velzen, a data analyst at Capgemini who leads Project FARM, said:

“By connecting farming communities with data science, and big data with traditional farming methods, the FARM platform is built to optimise the value chain and bring parties together as an ecosystem around one data-driven platform.

The platform can pave the way for bringing automated farming to small-scale farmers. With the increasing availability of open data and decreasing prices of sensors and satellite imagery, the future of farming is bright.”

AI is used to analyse farm data sourced from Agrics in addition to satellite data from Project Sobloo, a Copernicus Data and Information Access Service (DIAS). 

A dashboard provides insights to the farmer with tailor-made advice on how to optimise production. This advice can also be sent via SMS so, for example, an alert can be issued to take precautions if a crop-damaging thunderstorm is due the next day.

On the business-side, Agrics is able to use the data to foresee any risks that may impact each farmer and their investment.

Violanda de Man, Innovation Manager at Agrics East Africa, commented:

“Through our interactions with the farmers, we are on top of a huge reservoir of data. We can now turn this data into meaningful insights, which allows us to provide time and location-specific products and services to increase yield and lower risk at farm and value chain level.

Increased value chain effectiveness will help to directly improve the income and food security of rural populations.”

The global demand for food is expected to increase by 60 percent by 2050 and most of the world’s population is fed primarily by small farmers in developing countries. Supporting these farmers isn’t just the moral thing to do; it also helps to keep food on all of our plates.

Earlier this week, Fairtrade warned that coffee could become a luxury due to climate change affecting production. According to Catherine David, head of commercial partnerships at Fairtrade, issues like extreme temperatures, increased humidity, and pests are hitting farmers’ crops.

Meanwhile, a growing population is living longer and the demand for coffee is increasing. Combined with the expected production issues, the quality of coffee is expected to decrease while prices rocket.

I don’t know about you, but I need my coffee and would rather not have to take out a loan for my fix.

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Iron Man’s on-screen nemesis Thanos had a radical way of reducing humanity’s impact on the Earth, but Downey Jr. hopes to use a more humane solution.

Appearing on-stage at Amazon’s new re:MARS (Machine Learning, Automation, Robotics and Space) conference in Las Vegas, Downey Jr. launched an initiative called Footprint Coalition.

“I don’t pretend to understand the complexities we face as a species, just because I portrayed a genius in my professional life. My scholastic achievement peaked at a correctional finishing,” Downey Jr. joked, in reference to being incarcerated on drug charges and never making it past high school.

“On the flip side, I did play and interesting and iconic character for 11 years, Tony Stark,” he added, saying he liked how Stark went from a “soulless war profiteer to a man who was willing to sacrifice himself for the good of the community.”

Footprint Coalition aims to use robotics and AI in a bid to clean up the Earth and reverse humanity’s carbon footprint. The coalition aims to achieve its goal in a decade.

“Recently, I was at a table with super smart, impressive, expert folks about six months ago, and the following statement was made: ‘between robotics and technology, we could probably clean up the planet significantly, if not entirely within a decade,'”

“Being essentially a 54-year-old child, I said ‘Let’s do it! Let’s commit to a process, let’s form a coalition,’” explained Downey Jr. “I know it’s a kumbaya-type dream. It’s a logistical clusterfuck.”

While the goal of Downey Jr. and the Footprint Coalition sounds ambitious, it’s needed. Scientists warn 2035 is the ‘point of no return’ when it comes to climate change.

Downey Jr. is the first to admit that it’s early days for the Footprint Coalition, and it will take some more technical people to explain how it’s going to work. The coalition’s website is still under construction as of writing, but we’ll be following the project closely.

Interested in hearing industry leaders discuss subjects like this and their use cases? Attend the co-located AI & Big Data Expo events with upcoming shows in Silicon Valley, London, and Amsterdam to learn more. Co-located with the IoT Tech Expo, Blockchain Expo, and Cyber Security & Cloud Expo.

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