A custom piece of silicon for a consumer AI company.
Category: robotics/AI – Page 734
Qualcomm, Intel, & Google Join Hands To Come For NVIDIA, Plans On Dethroning CUDA Through oneAPI
Qualcomm, Intel, and Google have reportedly formed a new “strategic” coalition in an attempt to dethrone NVIDIA from the AI markets.
It Takes Not One But Three Big Tech Companies Such as Qualcomm, Intel & Google, To Have A Chance To Dethrone NVIDIA’s CUDA Supremacy In AI
Now, this does sound interesting, and it is probably a development to watch out for since we haven’t seen such a massive collaboration among companies to target a single entity. NVIDIA’s dominance in the AI market has shocked competitors to a vast extent since such financial growth and adoption weren’t seen previously. NVIDIA has gobbled up the bulk of the share of AI in tech industry, leaving no space for competitors to fill in, and this has troubled many of the firms who have now formulated a united front against NVIDIA.
Tesla releases new vision-based auto parking system
Tesla has started to release a new version of its auto parking system, an updated automated parking for its newer vision-only vehicles.
Ever since Tesla stopped using ultrasonic sensors in its new vehicles and only relied on cameras for its ADAS features, its vehicles have lacked auto-parking features.
Nvidia and Cerebras highlight the crazy acceleration in processing power
Coming hot on the heels of two massive announcements last year, last week Nvidia and Cerebras showed yet again that the pace of computing is still accelerating.
The first CS-2 based Condor Galaxy AI supercomputers went online in late 2023, and already Cerebras is unveiling its successor the CS-3, based on the newly launched Wafer Scale Engine 3, an update to the WSE-2 using 5nm fabrication and boasting a staggering 900,000 AI optimized cores with sparse compute support. CS-3 incorporates Qualcomm AI 100 Ultra processors to speed up inference.
Note: sparse compute is an optimization that takes advantage of the fact that a multiplication by zero always results in zero to skip calculations that could include dozens of operands, one of which is a zero. The result can lead to a huge speedup in performance with sparse data sets like neural networks.
AGI is Coming! Here’s What Will Happen When It Arrives
🔒 Keep Your Digital Life Private and Be Safe Online: https://nordvpn.com/safetyfirst Are you curious a…
MacGyver: Are Large Language Models Creative Problem Solvers?
💡Can LLMs like GPT-4 reason creatively?
On #AI and #creativity.
📝Paper: https://arxiv.org/pdf/2311.09682.pdf 🛠️Code and Data: https://github.com/allenai/MacGyver.
🚀 Introducing a new playground for everyday #innovation and physical #reasoning —we collect problems to trigger…
Code and Data for the NAACL 24 paper:
Researchers Design Foundation AI Models for Use in Pathology
Artificial intelligence is poised to transform the practice of medicine through the design and deployment of AI models that can detect, diagnose, and render prognosis for a disease more rapidly than most human physicians can, and with similar or superior accuracy.
So-called foundation models — trained on vast amounts of unlabeled data and usable in multiple clinical contexts for different purposes with minimal tweaking — offer a particularly tantalizing promise to reshape diagnosis and treatment.
