Briefing Desk
Latest Briefings
Concise reporting on the developments shaping internet governance and infrastructure. Browse each area for recent news, context and watchpoints.
Intel CFO forecasts significant manufacturing revenue by 2027
Intel projects its contract chip manufacturing business will generate substantial revenue by 2027, with talks underway with 12 potential customers.
Nvidia denies receiving US Justice Department subpoena amid antitrust probe
OUR TAKEThis investigation could extend across the tech industry, particularly in AI, semiconductors, and hardware markets. Increased regulatory scrutiny could slow down mergers and acquisitions, forcing companies to be more cautious in their expansion strategies. If Nvidia faces restrictions, it co…
Sutskever launches $1B AI safety venture
Ilya Sutskever’s startup, Safe Superintelligence, has raised $1 billion to develop safe AI systems that exceed human capabilities.
6 methods of pattern recognition
1. Statistical pattern recognition This pattern recognition approach utilises historical statistical data to learn from patterns and examples. It involves collecting and processing observations to develop a model. This model generalises from the observed data and applies learned rules to new dataset…
Top 6 machine learning classification algorithms
1. Logistic Regression Logistic regression is a classification algorithm used to estimate discrete values, typically binary, such as 0 and 1, or yes and no. It predicts the probability of an instance belonging to a particular class, making it essential for binary classification problems like spam de…
Rebellions plans 2025 IPO as AI chip demand soars
OUR TAKESouth Korean startup Rebellions Inc. plans to go public by late 2025 or early 2026, targeting the growing AI chip market. Following its merger with SK Telecom’s Sapeon Korea, the company will select global banks for a domestic listing around March, with Samsung Securities as lead broker. Reb…
5 difficulties in anomaly detection
Anomaly detection is an algorithm and technique used to identify anomalies or unusual patterns in a data set.
Elon Musk says he ‘can’t wait’ for a job in the Trump administration
In an interview livestreamed on X, Trump signaled his willingness to offer Musk a “government efficiency” role in his administration.
Exploring logistic regression as a classification algorithm
Logistic regression is primarily used for binary classification tasks, predicting the probability of an outcome belonging to a particular class.
Clearview AI faces major fine for illegal database use
Clearview AI has been fined €30.5 million by the Dutch DPA for creating an illegal facial recognition database.
Super Micro fights back against short-seller claims
Super Micro Computer denied to claims made by Hindenburg Research, stating that the recent report contained “false or inaccurate statements.”
STELLAR-IX: Empowering Madagascar’s digital future
STELLAR-IX revolutionises African data hosting and infrastructure management, ensuring reliable and secure client solutions.
GameZone Angola revolutionises the gaming experience
GameZone Angola is an innovative gaming company dedicated to transforming the entertainment landscape in Angola.
SudREN: Bridging education and the world in the Sudan
Development and impact of SudREN The Sudanese Research and Education Network (SudREN), established in 2003, aimed to bridge the gap in internet connectivity for Sudanese educational and research institutions. Initially focused on building infrastructure, SudREN installed fibre-optic cables and netwo…
What is predictive analytics and how does it work?
Predictive analytics predicts future events, helping organisations make better decisions and improve efficiency.
4 examples of predictive analytics in action
Predictive analytics uses data to foresee trends, guiding strategic decisions based on past patterns and driving industry transformation.
What are sentiment analysis tools?
Sentiment analysis tools are software applications designed to analyse and interpret the emotions or opinions expressed in textual data. These tools are widely used in fields like marketing, customer service, and social media monitoring to gauge public sentiment. Sentiment analysis tools are essenti…
What is network anomaly detection?
Network anomaly detection is a critical aspect of network security and performance management. It involves the continuous monitoring of network traffic and activities to identify deviations from established patterns of normal behaviour. By detecting these deviations, known as anomalies, organisation…
What is anomaly detection in AI?
Anomaly detection in AI involves identifying unusual patterns or outliers in data that deviate from the expected norm. This process is crucial for uncovering rare or unexpected events that may indicate issues such as fraud, system malfunctions, or security breaches. Anomaly detection is a technique …
Meta to inform Brazilian users about AI data use
OUR TAKEMeta’s decision to inform users and provide an opt-out option demonstrates a commitment to transparency and compliance with Brazil’s data protection regulations. This move not only addresses regulatory concerns but also sets an example for how tech companies can manage data privacy issues in…
STT GDC Philippines expands next-gen Makati data hall
ST Telemedia Global Data Centres (STT GDC) Philippines has officially launched a new-generation data hall at its Makati facility, marking another significant step in the company’s ongoing expansion to meet the growing demand for data centre services in the country. The newly upgraded Data Hall F—for…
what is marine magnetic and how is it detected?
Marine magnetic field information is an important part of environmental information construction of naval battle field.
UK will predict droughts and floods with real-time sensors
The project will establish the UK’s first nationwide network dedicated to understanding the impact of extreme weather.
AI likely to weigh on oil prices over the next decade, Goldman says
Goldman Sachs said that AI could potentially reduce costs by improving logistics and increasing the amount of profitably recyclable resources.
Salesforce to acquire AI voice agent firm Tenyx, joining AI talent race
Salesforce’s acquisition of Tenyx reflects its commitment to enhancing AI capabilities and joining the competitive AI talent race.
Interview with Yajun Zhang, author of VirtualWife: Uncovering AI companionship and future of human-AI relationships
For BTW’s exclusive interview, we are thrilled to welcome Yajun Zhang, author of VirtualWife, at this AIGC event. His work shows the intricate challenges of character development and long-term memory in AI, with the goal of creating virtual companions that genuinely enhance and enrich human lives. A…
AIGCLINK and future of automation: Bingqiang Zhan’s vision for AI agents by 2025
OUR TAKEIn this exclusive interview with Bingqiang Zhan, the transformative impact of interconnected AI agents was highlighted. He detailed how these advanced AI entities are set to overhaul industry workflows by combining automation with collaborative intelligence, promising to drive significant ch…
Starlink backtracks, complies with order blocking X in Brazil, says regulator
OUR TAKEElon Musk’s Starlink has agreed to comply with a Brazilian Supreme Court order to block access to Musk’s social media platform, X, in Brazil. The decision came after Judge Alexandre de Moraes froze Starlink’s assets and ordered it to pay more than $3 million in fines for X’s failure to appoi…
Nvidia shares drop 9.5%, leading record market value loss as AI optimism dims
OUR TAKEThis signals a potential cooling of the AI-driven stock market rally that has propelled companies like Nvidia to record highs. Nvidia’s 9.5% drop, resulting in a $279 billion market value loss, reflects investor concerns that AI investments may not deliver the expected returns as quickly as …
Exploring the landscape of cognitive cloud computing
Cognitive cloud computing is transforming the way organisations harness technology to process information and gain insights.
Amazon snatches AI innovators from Covariant
Amazon has hired Covariant’s founders and a quarter of its workforce while signing a license to use their robotic models.
WiseSpot revolutionises ICT with AI innovations
WiseSpot integrates AI into its ICT solutions to improve security and user experience, targeting scam detection in mobile messaging.
Dar Al-Handasah: Top-tier consultancy for strategic projects and long-term progress
Dar Al-Handasah, a leading global consultancy, delivers comprehensive services across diverse sectors, completing over 4,500 projects for 950 clients worldwide.
Zain Company signs an agreement with the Nile Valley University
Zain and Nile Valley University boost youth entrepreneurship The Sudanese Mobile Telephone company (Zain) has partnered with Nile Valley University in River Nile State to offer training courses aimed at enhancing young people’s skills in establishing and managing small and medium enterprises and sta…
What is the role of neural networks in predictive analytics?
Neural networks play a crucial role in predictive analytics by their ability to recognise and learn from complex patterns within large datasets. Unlike traditional statistical methods that may struggle with non-linear relationships, neural networks can identify and model these intricate connections.…
Why are predictive analytics supervised learning techniques?
Supervised learning is a type of machine learning where an algorithm is trained on a dataset that includes both input data and corresponding output labels. The goal is for the model to learn the relationship between the input and output so that it can accurately predict the output for new, unseen da…
What are the inputs for building predictive analytics models?
The most crucial input for building predictive analytics models is historical data. This data includes past records of events, transactions, or behaviours relevant to the prediction task. Historical data provides the necessary context for the model to learn from and is used to identify patterns, tre…
What is neural network AI and what are the applications?
Neural network AI is a type of artificial intelligence that mimics the way the human brain processes information. It is designed to recognise patterns, learn from data, and make decisions or predictions. This AI model is built from layers of interconnected nodes, known as neurones, which work togeth…
What are the purposes of predictive analytics?
Predictive analytics is a branch of data analysis that focuses on making predictions about future events based on historical data. By applying statistical algorithms, machine learning techniques, and data mining, predictive analytics can identify trends and patterns that may not be immediately appar…
What is a large language model and why is it important?
Large language models excel at generating human-like text, marking a significant advancement in AI language processing.
Top 5 industries benefiting the most from predictive analytics
Predictive analytics enables businesses to foresee market trends and customer behaviours, with leading industries such as finance, healthcare, and retail spearheading its use.
Empyrion Digital expands into Japan with new AI-ready data centre
Empyrion Digital plans to build a 25MW AI-ready data centre in Tokyo, marking its expansion into the Japanese market.
Link3 provides free internet access to poor areas in Bangladesh
As the largest home internet provider in Bangladesh, Link3 Technologies Limited is setting its sights on new areas. They are planning to expand services to underserved areas and explore emerging technologies such as 5G and IoT. With its forward-thinking approach, Link3 not only shapes the current st…
ACC 2024 Cebu: Celebrating two decades of telco & ICT advancement
From its modest origins as a regional gathering for carriers, the ACC (Asian Carriers Conference) has evolved into a highly anticipated conference within the telecommunications and ICT industry, both in Asia and across the globe. Over the past two decades, ACC has been instrumental in driving the gr…
4 benefits of adopting power automation
Power automation is used to create primitive multi-step workflows that rely on three specific trigger events: automatic, scheduled, immediate.
7 reasons why predictive analytics is important
Predictive models use known results to develop or train a model that can be used to predict values for different or new data.
SparkLabs completes $50M fund to support AI startups
The fund will support AI startups at its AIM-X accelerator in Saudi Arabia as well as other AI startups around the world.
SpaceX’s Falcon 9 returns to flight after FAA pause
OUR TAKESpaceX’s quick recovery from the FAA grounding demonstrates its operational resilience and effective problem-solving. The FAA’s decision to lift the grounding reflects confidence in SpaceX’s safety protocols, helping to ensure minimal disruption to the company’s launch schedule. — Zoey Zhu, …
Interview with Bingqiang Zhan, founder of AIGCLINK: Exploring AI agent innovations and future market trends
We are honored to invite Bingqiang Zhan, the founder of AIGCLink, for our exclusive interview in this AIGC event. He is not only a pioneer in the AIGC field, but also an outstanding Microsoft MVP. He will share with us the original intention of AIGCLink, the future development of AI agents, and the …
IFA leaks reveal Lenovo and Intel’s bold moves in AI-powered PC hardware
OUR TAKEAt the upcoming IFA show in Berlin, Lenovo and Intel are set to unveil a new wave of laptops and processors that aim to push the boundaries of innovation in PC hardware. These advancements will be particularly focused on enhancing AI capabilities and optimising multi-core processing power. A…