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Lemi Limbu, a woman with severe intellectual disabilities in Tanzania, has had her conviction and death sentence quashed after spending more than a decade in prison awaiting execution. Limbu, now in her early 30s, was convicted of the murder of her daughter in 2015.On 4 March, a court in Shinyanga, northern Tanzania, declared she can appeal. She will face a retrial, but a date has yet to be set. Lawyers and activists have condemned her sentence, saying she should not be in prison at all. Limbu, who remains incarcerated, is a survivor of brutal and repeated sexual and domestic violence and has the developmental age of a child.Under Tanzanian and international law, Limbu should not be held criminally liable, given her intellectual disability. “She was not supposed to be in prison in the first place,” said Anna Henga, executive director of Legal and Human Rights Centre, a Tanzanian human rights advocacy organisation.At her first trial, Limbu pleaded not guilty. Unable to read or write, she said she did not know the contents of a statement that police claimed she had made admitting to the murder. Her original conviction in 2015 was nullified in 2019 due to procedural errors. In 2022, she was retried and sentenced to death a second time.The court did not allow evidence to be heard from medical professionals about her intellectual disabilities or history of abuse. A clinical psychologist who evaluated her had concluded she had a severe intellectual disability and the developmental age of a 10-year-old child or younger.A coalition of 24 African and international human rights groups last year condemned Limbu’s sentence as part of an appeal to the African court on human and peoples’ rights to look at the plight of women on death row throughout Africa. In Tanzania, the death penalty is the mandatory sentence for murder, although no executions have been carried out since 1995.

Apple has unveiled a comprehensive hardware refresh this month, signaling a definitive shift toward on-device artificial intelligence with the introduction of the M5 chip family, while simultaneously broadening its accessibility with the budget-friendly MacBook Neo and iPhone 17e. The March 2026 Hardware Ecosystem Refresh The tech giant kicked off the month with the iPhone 17e and the M4 iPad Air on March 2. A day later, Apple announced the M5 MacBook Air, updated MacBook Pro models, and the new M5 Pro and M5 Max chips, along with the Studio Display and Studio Display XDR. On March 4, a surprise entry was revealed: the MacBook Neo, a low-cost laptop running on an A18 Pro chip. Finally, a week later, Apple dropped the AirPods Max 2, the long-awaited successor to its premium headphones. Performance Metrics and Pricing Strategy The new iPhone 17e is positioned as a budget-friendly option, retailing for $599 and featuring the A19 chip and the new C1X modem, which Apple claims is 30% more energy-efficient than the modem in the iPhone 16 Pro. The M4 iPad Air offers a significant performance jump, with the 11-inch model still priced at $599. The MacBook Pro with M5 Pro and M5 Max chips delivers up to 4x faster LLM prompt processing and 8x faster AI image generation compared to previous generations. MacBook Pro Battery Life: Up to 24 hours of battery life. MacBook Air Battery Life: Improved to 18 hours. MacBook Neo Pricing: Starts at $599 for 256GB storage. Storage Upgrades: MacBook Air now starts with 512GB storage. The Strategic Pivot to On-Device AI The core of this launch is the new Fusion Architecture found in the M5 chips, which integrates a powerful CPU, scalable GPU, and a Neural Engine designed specifically for AI workloads. The MacBook Neo represents a strategic divergence, utilizing the A18 Pro chip to target students and casual users, effectively positioning it as a direct competitor to Google's Chromebook ecosystem. Notably, the MacBook Neo has been praised by iFixit as the most repairable MacBook in over fourteen years. Market Implications and Future Outlook Apple is clearly betting that AI processing power will be the primary driver of hardware sales in the coming years. By embedding advanced AI capabilities into both high-end Pro machines and budget devices, the company is attempting to create a seamless AI experience across its entire product line. The introduction of the MacBook Neo suggests a strategy to capture the education market by offering a macOS experience at a Chromebook price point, potentially disrupting the low-end laptop market.

Researchers at Cortical Labs in Melbourne have created a 'biological computer' using living human tissue, which can play the 1993 shooter game Doom. The team used 10ml of blood from CEO Hon Weng Chong to harvest 100 white blood cells, which were then reprogrammed into induced pluripotent stem cells (iPSCs). These cells were used to create a dish of 200,000 neurons that can interface with a computer system.The brain cells were taught to play Doom by encoding game state information, passing it through a neural network, and converting it into signals the neurons can understand. The neurons then fire an output, which the system decodes and converts back into actions in the game. This process is similar to how humans operate, with information going into the retina, being converted into electrical signals, processed in the brain, and resulting in an output.While the achievement has sparked concerns about sentience and consciousness, Chong believes the brain cells are not conscious, stating, 'At first it didn’t know how to move, aim or shoot. Then it would shoot two enemies and stop. So it’s definitely learning.' The next step could be integrating this technology with Neuralink, a brain-machine interface developed by Elon Musk.The application of biological computing lies not in gaming, but in medicine, such as disease modeling for conditions like epilepsy. This technology could allow for personalized drug testing and tailored treatments. Meanwhile, Eon Systems in San Francisco has created a virtual insect brain that can behave like a real fly, challenging the assumption that intelligence must be acquired.Biological systems like these could eventually power robots, drones, and other machines that need to navigate complex environments. As Chong notes, 'Abstract reasoning, mathematics and language are relatively recent in evolutionary terms... but motor control and probabilistic decision-making are things we’ve inherited through millions of years of evolution.' While we're far from uploading human consciousness into the internet, this technology marks a significant step in the development of biological computing.