Sustainable development

Israeli agri-tech startup Fermata secures funding for AI-powered farming solutions

Israeli startup Fermata, founded in 2020 by bioinformatics expert Valeria Kogan, is using AI and computer vision to monitor greenhouse crops for diseases and pests. The company’s software works with standard cameras, capturing images of plants twice a day and alerting farmers to potential infestations via an app. Initially considering robotic solutions, Kogan shifted focus after consulting with farmers, realising that simpler camera-based monitoring was more effective.

Based in Israel, Fermata has gained traction by prioritising farmer needs and keeping its AI training in-house, improving model accuracy. Partnering with major agricultural firms like Bayer and Syngenta, the company has deployed over 100 cameras and continues to expand. The startup recently secured a $10 million Series A investment from Raw Ventures, its existing investor, to scale operations and work towards profitability by 2026.

Plans for growth include strengthening the sales team and expanding beyond greenhouse tomatoes into new crops. Despite AI’s previous struggles in agriculture, Fermata’s practical approach and farmer-centric model have helped it carve a niche in the industry.

Trump reveals $20 billion investment pledge from Emirati billionaire

Emirati billionaire Hussain Sajwani plans to invest $20 billion in the growing US data centre sector over the coming years. The announcement was made alongside US President-elect Donald Trump at his Mar-a-Lago residence in Florida, where Sajwani, chairman of Dubai-based developer DAMAC, expressed the potential for even larger investments depending on market conditions.

Sajwani’s company owns the only Trump-branded golf course in the Middle East, located in Dubai. The two have a long-standing relationship, with Sajwani celebrating New Year with Trump in Florida. Trump’s focus on economic growth aligns with this announcement, though previous investment promises, such as the Foxconn factory in Wisconsin, fell short of expectations.

A surge in AI technology, particularly since the introduction of OpenAI’s ChatGPT in 2022, has driven significant investment in data infrastructure. Microsoft recently revealed plans to spend $80 billion this fiscal year on expanding its AI capacity. SoftBank’s CEO Masayoshi Son also committed $100 billion in US investments, further highlighting the sector’s momentum.

US restrictions on advanced AI chip exports to China have intensified under the Biden administration. Trump’s recent appointments of China hard-liners in key economic and diplomatic roles signal a continued focus on limiting China’s access to cutting-edge technologies.

Faculty AI develops AI for military drones

Faculty AI, a consultancy company with significant experience in AI, has been developing AI technologies for both civilian and military applications. Known for its close work with the UK government on AI safety, the NHS, and education, Faculty is also exploring the use of AI in military drones. The company has been involved in testing AI models for the UK’s AI Safety Institute (AISI), which was established to study the implications of AI safety.

While Faculty has worked extensively with AI in non-lethal areas, its work with military applications raises concerns due to the potential for autonomous systems in weapons, including drones. Though Faculty has not disclosed whether its AI work extends to lethal drones, it continues to face scrutiny over its dual roles in advising both the government on AI safety and working with defense clients.

The company has also generated some controversy because of its growing influence in both the public and private sectors. Some experts, including Green Party members, have raised concerns about potential conflicts of interest due to Faculty’s widespread government contracts and its private sector involvement in AI, such as its collaborations with OpenAI and defence firms. Faculty’s work on AI safety is seen as crucial, but critics argue that its broad portfolio could create a risk of bias in the advice it provides.

Despite these concerns, Faculty maintains that its work is guided by strict ethical policies, and it has emphasised its commitment to ensuring AI is used safely and responsibly, especially in defence applications. As AI continues to evolve, experts call for caution, with discussions about the need for human oversight in the development of autonomous weapons systems growing more urgent.

UK regulator considers remedies for Synopsys-Ansys deal

The UK‘s competition regulator, the Competition and Markets Authority (CMA), announced it may accept remedies proposed by Synopsys and Ansys to address concerns over their $35 billion merger. The deal, announced in January of last year, involves Synopsys acquiring Ansys, a company known for its software used in industries like aerospace and sports equipment manufacturing.

The CMA outlined the proposed remedies, which include the sale of Ansys’ power consumption analysis product for digital chips and Synopsys’ global optics and photonics software business. The regulator has until March 5 to decide whether to accept these remedies, though it can extend the deadline to 6 May.

Synopsys expressed satisfaction with the CMA’s progress and reiterated its commitment to working closely with the authority. The outcome of the regulator’s review could significantly impact the completion of the merger, which aims to enhance the companies’ capabilities in chip design software.

US tech leaders oppose proposed export limits

A prominent technology trade group has urged the Biden administration to reconsider a proposed rule that would restrict global access to US-made AI chips, warning that the measure could undermine America’s leadership in the AI sector. The Information Technology Industry Council (ITI), representing major companies like Amazon, Microsoft, and Meta, expressed concerns that the restrictions could unfairly limit US companies’ ability to compete globally while allowing foreign rivals to dominate the market.

The proposed rule, expected to be released as soon as Friday, is part of the Commerce Department’s broader strategy to regulate AI chip exports and prevent misuse, particularly by adversaries like China. The restrictions aim to curb the potential for AI to enhance China’s military capabilities. However, in a letter to Commerce Secretary Gina Raimondo, ITI CEO Jason Oxman criticised the administration’s urgency in finalising the rule, warning of ‘significant adverse consequences’ if implemented hastily. Oxman called for a more measured approach, such as issuing a proposed rule for public feedback rather than enacting an immediate policy.

Industry leaders have been vocal in their opposition, describing the draft rule as overly broad and damaging. The Semiconductor Industry Association raised similar concerns earlier this week, and Oracle’s Executive Vice President Ken Glueck slammed the measure as one of the most disruptive ever proposed for the US tech sector. Glueck argued the rule would impose sweeping regulations on the global commercial cloud industry, stifling innovation and growth.

While the administration has yet to comment on the matter, the growing pushback highlights the tension between safeguarding national security and maintaining US dominance in the rapidly evolving field of AI.

Meta ends fact-checking program in the US

Meta Platforms has announced the termination of its US fact-checking program and eased restrictions on politically charged discussions, such as immigration and gender identity. The decision, which affects Facebook, Instagram, and Threads, marks a significant shift in the company’s content moderation strategy. CEO Mark Zuckerberg framed the move as a return to ‘free expression,’ citing recent US elections as a cultural tipping point. The changes come as Meta seeks to build rapport with the incoming Trump administration.

In place of fact-checking, Meta plans to adopt a ‘Community Notes’ system, similar to that used by Elon Musk’s platform X. The company will also scale back proactive monitoring of hate speech, relying instead on user reports, while continuing to address high-severity violations like terrorism and scams. Meta is also relocating some policy teams from California to other states, signalling a broader operational shift. The decision follows the promotion of Republican policy executive Joel Kaplan to head of global affairs and the appointment of Trump ally Dana White to Meta’s board.

The move has sparked criticism from fact-checking organisations and free speech advocates. Angie Drobnic Holan, head of the International Fact-Checking Network, pushed back against Zuckerberg’s claims of bias, asserting that fact-checkers provide context rather than censorship. Critics, including the Centre for Information Resilience, warn that the policy rollback could exacerbate disinformation. For now, the changes will apply only to the US, with Meta maintaining its fact-checking operations in regions like the European Union, where stricter tech regulations are in place.

As Meta rolls out its ‘Community Notes’ system, global scrutiny is expected to intensify. The European Commission, already investigating Musk’s X over similar practices, noted Meta’s announcement and emphasised compliance with the EU’s Digital Services Act, which mandates robust content regulation. While Meta navigates a complex regulatory and political landscape, the impact of its new policies on disinformation and public trust remains uncertain.

Apple faces continued iPhone ban in Indonesia

Apple remains unable to sell its iPhone 16 in Indonesia despite agreeing to build a production facility in the country, according to Indonesia’s industry minister, Agus Gumiwang Kartasasmita. The ban stems from regulations requiring smartphones sold domestically to include at least 35% locally-made components—a threshold Apple has not met.

While Apple plans to invest $1 billion in a facility on Batam island to produce its Airtag tracking devices, the industry ministry clarified that this does not qualify as contributing to iPhone production. Kartasasmita emphasised that only phone components would satisfy the local content rules necessary for certification to sell iPhones in Indonesia.

Apple, which lacks manufacturing facilities in the country, has maintained its presence through application developer academies since 2018. Despite two days of discussions between Kartasasmita and Apple’s vice president of global government affairs, Nick Ammann, the company’s proposals for ‘innovative investment’ failed to meet Indonesia’s regulatory standards for smartphone sales.

The planned Batam facility, expected to launch operations next year, underscores Apple’s interest in expanding its footprint in Indonesia, a nation of 280 million people. However, the iPhone 16’s path to market in the region remains uncertain.

Amazon invests $11 billion in Georgia

Amazon Web Services (AWS) has announced a $11 billion investment to build new data centres in Georgia, aiming to support the growing demand for cloud computing and AI technologies. The facilities, located in Butts and Douglas counties, are expected to create at least 550 high-skilled jobs and position Georgia as a leader in digital innovation.

The move highlights a broader trend among tech giants investing heavily in AI-driven advancements. Last week, Microsoft revealed an $80 billion plan for fiscal 2025 to expand data centres for AI training and cloud applications. These facilities are critical for supporting resource-intensive AI technologies like machine learning and generative models, which require vast computational power and specialised infrastructure.

The surge in AI infrastructure has also raised concerns about energy consumption. A report from the Electric Power Research Institute suggests data centres could account for up to 9% of US electricity usage by 2030. To address this, Amazon has secured energy supply agreements with utilities like Talen Energy in Pennsylvania and Entergy in Mississippi, ensuring reliable power for its expanding operations.

Amazon’s commitment underscores the growing importance of AI and cloud services, as companies race to meet the demands of a rapidly evolving technological landscape.

White House introduces Cyber Trust Mark for smart devices

The White House unveiled a new label, the Cyber Trust Mark, for internet-connected devices like smart thermostats, baby monitors, and app-controlled lights. This new shield logo aims to help consumers evaluate the cybersecurity of these products, similar to how Energy Star labels indicate energy efficiency in appliances. Devices that display the Cyber Trust Mark will have met cybersecurity standards set by the US National Institute of Standards and Technology (NIST).

As more household items, from fitness trackers to smart ovens, become internet-connected, they offer convenience but also present new digital security risks. Anne Neuberger, US Deputy National Security Advisor for Cyber, explained that each connected device could potentially be targeted by cyber attackers. While the label is voluntary, officials hope consumers will prioritise security and demand the Cyber Trust Mark when making purchases.

The initiative will begin with consumer devices like cameras, with plans to expand to routers and smart meters. Products bearing the Cyber Trust Mark are expected to appear on store shelves later this year. Additionally, the Biden administration plans to issue an executive order by the end of the president’s term, requiring the US government to only purchase products with the label starting in 2027. The program has garnered bipartisan support, officials said.

Alibaba slashes prices on AI language models

The Chinese technology powerhouse, Alibaba, has announced substantial price cuts of up to 85% for its large language models (LLMs), including the visual language model Qwen-VL. Designed to process and interpret both text and images, Qwen-VL is tailored for enterprise use, marking a departure from consumer-facing AI tools like ChatGPT. These discounts signal a competitive push to expand AI accessibility in the enterprise sector.

The move comes amid a broader race among Chinese tech giants to dominate the AI landscape. Companies like Tencent, Baidu, Huawei, and ByteDance have launched their own LLMs, aiming to capitalise on the growing demand for advanced AI solutions. Alibaba’s decision to focus on enterprise customers has already shown results, with its Qwen models adopted by over 90,000 businesses since May.

Analysts predict these price cuts could reshape global AI accessibility, enabling smaller firms and startups to leverage cutting-edge technology. Lower costs may allow traditional industries to modernise operations, while venture capital flows into supporting technologies are expected to further fuel innovation.

The global AI race is poised to accelerate into 2025, with Chinese companies playing a central role in advancing machine reasoning and practical applications. The intensifying competition could define the future of AI development, offering more use cases across diverse industries worldwide.