Open-Source AI Models Gain Ground as Enterprises Seek Lower-Cost Alternatives, Citi Says 
Baidu Shares Rally as Kunlunxin Eyes $50 Billion Hong Kong IPO 
SpaceX, Charter Communications Explore Mobile Partnership to Expand Starlink Wireless Service 
Italy Investigates Microsoft Over Microsoft 365 AI Subscription Price Hike 
OpenAI May Delay IPO to 2027 Amid $1 Trillion Valuation Goal 
Nvidia Stock Rises as SemiAnalysis Sees AI Data Center Revenue Beating Wall Street Forecasts 
Super Micro Shares Slide After Taiwan Raids Over Alleged Nvidia AI Chip Smuggling Probe 
Firmus Partners With Nvidia to Deliver 170,000 AI GPUs in $30 Billion Cloud Infrastructure Deal 
SpaceX Eyes Starlink Mobile Phone Service to Challenge Verizon, AT&T, and T-Mobile 
AI can be a personal trainer in your pocket – but is it safe? 
Australia Plans Higher Fines for Social Media Firms Failing to Block Underage Users 
Morgan Stanley Raises Tesla Q2 Delivery Forecast on Strong Europe and China Demand 
UBS Raises TSMC Price Target to T$3,400 on Strong AI Chip Demand Outlook 
SoftBank Shares Slide as OpenAI IPO Delay Concerns Weigh on AI Investment Outlook 
Samsung, SK Hynix to Unveil $1.3 Trillion AI and Semiconductor Investment Plan 
Microsoft Reportedly Plans New Job Cuts Across Sales, Consulting, and Xbox 
Apple Supplier Stocks Slide as Samsung, SK Hynix Lead Selloff After Apple Price Hikes 
University of Toronto researchers recently created an artificial intelligence that surpassed their parameters when it came to learning and Google just hired two brilliant AI experts to help with its cloud computing endeavors. It’s the age of the machine and no amount of AI fears is going to stop companies from cashing in on the lucrative venture.
The Canadian AI study was done by Parham Aarabi and Wenzhi Guo, both of whom are engineers, Phys.org reports, and they broke the mold by actually having the algorithm learn from human instructions. They had the AI try to identify elements of hair using photographs. Based on the results, the machine did not only surpass findings by conventional methods by 160 percent, it even exceeded the expectations of the engineers.
"Our algorithm learned to correctly classify difficult, borderline cases—distinguishing the texture of hair versus the texture of the background," Aarabi said. "What we saw was like a teacher instructing a child, and the child learning beyond what the teacher taught her initially."
Just for perspective, traditional methods of teaching AIs involve providing them with a certain set of data and making them decide based on certain parameters. What the University of Toronto duo did is directly teaching the algorithm by telling it what to do. This method is considered promising in helping advance AI, affecting such aspects as neural networks.
Speaking of advancements in AI, Google just hired Fei-Fei Li, who is the director of the Artificial Intelligence Lab at Stanford University and Jia Li, who is Snap Inc.’s head of research. These two are considered to be at the top of their field when it comes to teaching AI how to recognize objects, patterns, and images, Fortune reports.
This is the company’s latest step in advancing its research into AI, which is indispensable for growing its cloud computing business. Google wants to become a leader in the industry, and having two of the most renowned AI experts in the world is how it believes it will achieve this goal.
